WO2020073893A1 - 确定负载门限的方法和装置 - Google Patents
确定负载门限的方法和装置 Download PDFInfo
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- WO2020073893A1 WO2020073893A1 PCT/CN2019/109983 CN2019109983W WO2020073893A1 WO 2020073893 A1 WO2020073893 A1 WO 2020073893A1 CN 2019109983 W CN2019109983 W CN 2019109983W WO 2020073893 A1 WO2020073893 A1 WO 2020073893A1
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- 238000005265 energy consumption Methods 0.000 abstract description 15
- 238000013461 design Methods 0.000 description 36
- 238000004891 communication Methods 0.000 description 14
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
- H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
- H04W36/00837—Determination of triggering parameters for hand-off
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Definitions
- Embodiments of the present application relate to the field of communication technologies, and in particular, to a method and device for determining a load threshold.
- the current practice is to set the cut-off time period and load threshold of the traffic service of the cell.
- the load threshold is usually set conservatively, which limits the energy consumption of the base station.
- the present application provides a method and device for determining a load threshold.
- the determined load threshold can achieve the purpose of not only ensuring the KPI of the cell, but also reducing the energy consumption of the base station as much as possible.
- an embodiment of the present application provides a method for determining a load threshold, including: acquiring a plurality of pre-selected load thresholds of a cell; acquiring an evaluation value corresponding to each pre-selected load threshold in the first period, each of the evaluation values To evaluate the KPI information and energy saving information of the key performance indicators of the cell; according to each evaluation value, determine the target load threshold of the cell in the second cycle, the target load threshold being the load among the plurality of pre-selected load thresholds Threshold; the second cycle is the next cycle of the first cycle.
- the cycle in this scheme refers to the load threshold update cycle.
- the load threshold of the cell in the current period is determined according to the evaluation value corresponding to each pre-selected load threshold of the cell in the previous week. Since the evaluation value can evaluate the KPI information and energy saving information of the cell, therefore, The load threshold of the cell in the current period is determined after comprehensively considering the KPI information and energy saving information of the cell. Therefore, the load threshold determined by the method of the scheme can achieve the KPI and reduce the base station as much as possible. The purpose of energy consumption.
- the load threshold of the cell is dynamically determined in the scheme, and the load threshold can be changed in conjunction with the real-time communication situation of the cell, to further ensure that the load threshold determined by the method of the scheme can not only ensure the KPI, but also reduce the energy consumption of the base station as much as possible. .
- the acquiring multiple pre-selected load thresholds of a cell includes: acquiring a maximum load threshold and a minimum load threshold of the cell; acquiring multiple pre-selected load thresholds according to the maximum load threshold and the minimum load threshold.
- the plurality of pre-selected load thresholds include the maximum load threshold and the minimum load threshold.
- a maximum load threshold and a minimum load threshold are determined.
- the load threshold of the cell in each cycle is selected from multiple pre-selected load thresholds determined according to the maximum load threshold and the minimum load threshold, and the load threshold is determined.
- the selection range reduces the amount of calculation to determine the load threshold and improves the efficiency of determining the load threshold every cycle.
- the obtaining the maximum load threshold includes:
- a parameter value group corresponding to each of the multiple time periods to determine a first relationship between at least one first parameter and throughput rate, and to determine M second relationships between at least one first parameter and M KPIs, where M is a positive integer;
- the maximum load threshold is determined according to the first relationship and the M second relationships.
- determining the maximum load threshold according to the first relationship and the M second relationships includes: determining the first load corresponding to the maximum throughput rate corresponding to the first curve; the first curve is Describe the curve corresponding to the first relationship;
- the M second curves are the curves corresponding to the M second relationships, and the second curve and the One-to-one correspondence for the second relationship;
- a machine learning algorithm may be used to determine the first relationship between at least one first parameter and throughput rate according to the parameter value groups corresponding to the multiple time periods, and determine at least one first parameter and M KPIs M second relationship.
- the maximum load threshold is determined according to the parameter value groups corresponding to the multiple time periods, and the communication status of the cell is fully considered, so that the determined maximum load threshold is more accurate.
- the method before the obtaining the evaluation value corresponding to each pre-selected load threshold in the first period, the method further includes:
- each target KPI parameter value and each target energy-saving parameter value of the cell when the load threshold of the cell in the third period is the first load threshold; the first load threshold is the cell in the third period Within the target load threshold; the third period is the previous period of the first period; the KPI parameter values corresponding to the first load threshold recorded in the current record table are updated to the target KPI parameters Value, update each energy-saving parameter value corresponding to the first load threshold recorded in the current record table to each target energy-saving parameter value to obtain an updated record table; wherein, each record is recorded in the record table Pre-select the KPI parameter values, energy-saving parameter values and evaluation values corresponding to the load threshold.
- the setting of the recording table achieves the purpose of obtaining the evaluation value corresponding to each pre-selected load threshold.
- the evaluation value corresponding to each pre-selected load threshold in the first period is obtained.
- the obtaining the evaluation value corresponding to each pre-selected load threshold in the first period includes:
- the first KPI parameter value set is a set of KPI parameter values corresponding to the one preselected load threshold recorded in the updated record table
- the second KPI parameter value set is the A set of KPI parameter values corresponding to the minimum load threshold in the updated record table
- the first energy saving parameter value set is a set of energy saving parameter values corresponding to the one pre-selected load threshold in the updated record table
- the second energy saving parameter value set is a set of energy saving parameter values corresponding to the minimum load threshold in the updated record table.
- the evaluation corresponding to the one pre-selected load threshold in the first period is determined Value, including:
- the KPI parameter value set and the second KPI parameter value set determine the KPI evaluation value of the cell and the KPI evaluation value of the cluster where the cell is located; according to the first energy saving parameter value set and the first Two energy-saving parameter value sets to determine the energy-saving evaluation value of the cell; based on the KPI evaluation value of the cell, the KPI evaluation value of the cluster where the cell is located, and the energy-saving evaluation value of the cell, obtained in the first period The evaluation value corresponding to the pre-selected load threshold.
- KPIs there are two types of KPIs for the KPIs of the cell, one is the smaller the better, which is called the first type of KPI, for example, the call drop rate is a KPI of the first type; one The larger the better the KPI is called the second type of KPI. For example, the turn-on rate is a KPI of the second type. Therefore, when determining the KPI evaluation value of the cell and the KPI evaluation value of the cluster where the cell is located, the first type of KPI and the second type of KPI need to be considered separately.
- the first type of KPI and the second type of KPI need to be considered separately.
- the method for obtaining the KPI evaluation value of the cell includes:
- the first ratio is the ratio of the numerator filter value corresponding to the first type KPI in the first KPI parameter value set to the denominator filter value
- the second ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the first type KPI and the denominator filter value
- the difference between the first ratio and the second ratio is greater than the first absolute deterioration threshold of the cell, it is determined that the fifth target KPI evaluation value of the cell corresponding to the first type of KPI is the second A preset value; if the difference between the first ratio and the second ratio is less than or equal to the first absolute deterioration threshold, determine the fifth target KPI evaluation value as the first preset value;
- An absolute deterioration threshold is a third standard deviation multiplied by a first coefficient, and the third standard deviation is a plurality of the first types of the cells of the cell within a first preset duration before the first period Standard deviation of KPI;
- the third ratio is the ratio of the numerator filter value corresponding to the second type KPI in the first KPI parameter value set to the denominator filter value
- the fourth ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the KPI of the second type and the denominator filter value
- the difference between the third ratio and the fourth ratio is less than the second absolute deterioration threshold of the cell, determine the sixth target KPI evaluation value of the cell corresponding to the second type of KPI A second preset value; if the third ratio minus the fourth ratio is greater than or equal to the second absolute deterioration threshold, determining the sixth target KPI evaluation value as the first preset value;
- the second absolute deterioration threshold is the inverse number of the product of the fourth standard deviation and the first coefficient, and the fourth standard deviation is a plurality of the one of the cells in the first preset duration before the first period Standard deviation of the second type of KPI;
- the KPI evaluation value of the cell is obtained according to each of the fifth target KPI evaluation value and / or the sixth target KPI evaluation value.
- the second preset value is smaller than the first preset value, for example, the first preset value may be 1, and the second preset value may be 0.
- whether the KPI evaluation value of the cell is obtained is determined based on whether the KPI of the one pre-selected load threshold is better or worse than the KPI of the minimum load threshold.
- the obtained KPI evaluation value of the cell is accurate, so that The evaluation value corresponding to the pre-selected load threshold finally obtained is objective and accurate.
- the method for obtaining the KPI evaluation value of the cluster where the cell is located includes:
- the determining the KPI evaluation value of the cluster where the cell is located according to the first KPI parameter value set and the second KPI parameter value set includes:
- the first type of KPI is determined according to the parameters corresponding to the first type of KPI in the first KPI parameter value set and the second KPI parameter value set Corresponding to the first target KPI evaluation value of the cluster; for a second type of KPI, according to the first KPI parameter value set and the second KPI parameter value set correspond to the second type of KPI Determine the second target KPI evaluation value of the cluster corresponding to the second type of KPI; based on each first target KPI evaluation value and / or each second target KPI evaluation value, obtain KPI evaluation value of the cluster where the cell is located.
- the one pre-selected load threshold is not the target load threshold of the first period, it includes:
- the first ratio is the ratio of the numerator filter value corresponding to the first type KPI in the first KPI parameter value set to the denominator filter value
- the second ratio is In the second KPI parameter value set, the ratio of the numerator filter value and the denominator filter value corresponding to the first type of KPI; if the first difference between the first ratio and the second ratio is less than or equal to 0 , Determine the first target KPI evaluation value as the first preset value; if the first difference is greater than 0, determine the first target KPI evaluation value as the third target KPI evaluation value; the third The target KPI evaluation value is the KPI evaluation value of the cluster corresponding to the first type of KPI corresponding to the one preselected load threshold in the third period.
- the one pre-selected load threshold is the target load threshold of the first period, it includes:
- the first value is obtained according to the parameter corresponding to the first type of KPI in the first KPI parameter value set corresponding to all cells included in the cluster where the cell is located; according to the first corresponding value of all cells included in the cluster where the cell is located Two KPI parameter values set the corresponding parameter of the first type of KPI to obtain a second value; if the difference between the first value and the second value divided by the first value is less than or equal to the third value , It is determined that the first target KPI evaluation value is the third target KPI evaluation value; the third value is a preset multiple of the ratio of the first standard deviation to the first average value; the first standard deviation is A standard deviation of a first value corresponding to a preset number of cycles before the first cycle, a first value corresponding to the preset number of cycles before the first cycle The average value of; if the difference between the first value and the second value divided by the first value is greater than the third value and the cell is in the first cell set, the first target is determined The KPI evaluation value is the second preset value
- the one pre-selected load threshold is not the target load threshold of the first period, it includes:
- the third ratio is the ratio of the numerator filter value corresponding to the second type KPI in the first KPI parameter value set to the denominator filter value
- the fourth ratio is In the second KPI parameter value set, the ratio of the numerator filter value and the denominator filter value corresponding to the KPI of the second type; if the second difference between the third ratio and the fourth ratio is greater than or equal to 0 , It is determined that the second target KPI evaluation value is the first preset value; if the second difference is less than 0, it is determined that the second target KPI evaluation value is within the fourth target KPI evaluation value, the The four-target KPI evaluation value is the KPI evaluation value of the cluster corresponding to the second type of KPI corresponding to the one preselected load threshold in the third period.
- the one pre-selected load threshold is the target load threshold of the first period, it includes:
- the fourth value is obtained according to the first KPI parameter value set corresponding to all the cells included in the cluster where the cell is located, and the fourth value is obtained according to the parameter corresponding to the KPI of the second type;
- the second KPI parameter value sets the parameter corresponding to the KPI of the second type to obtain a fifth value; if the second difference between the fourth value and the fifth value divided by the fourth value is greater than or equal to the sixth value , It is determined that the second target KPI evaluation value in the first period is the fourth target KPI evaluation value; the sixth value is the opposite of the preset multiple of the ratio of the second standard deviation to the second average value
- the second standard deviation is a standard deviation of a fourth value corresponding to a preset number of periods before the first period, and the second average value is the preset before the first period
- the average value of the fourth value corresponding to the number of periods if the difference between the fourth value and the fifth value divided by the fourth value is less than the sixth value and the cell is in the second cell set, Determining that the
- the KPI evaluation value of the cluster where the cell is located is determined based on whether the KPI of the cluster corresponding to the one pre-selected load threshold is better or worse than the KPI of the cluster corresponding to the minimum load threshold,
- the obtained KPI evaluation value of the cluster where the cell is located is objective and accurate, so that the evaluation value corresponding to the finally obtained one pre-selected load threshold is objective and accurate.
- the determining the target load threshold of the cell in the second period according to each evaluation value includes:
- the first preselected load threshold is determined as the first probability of the target load threshold of the cell in the second period, and the first preselected load threshold is the preselected load threshold corresponding to the largest evaluation value among the evaluation values ;
- the second preselected load threshold is determined as the second probability of the target load threshold of the cell in the second period; the second preselected load threshold is the plurality of preselected load thresholds except the first preselected Any load threshold of the load threshold.
- the cell is at the target load threshold.
- the determination of the first preselected load threshold is determined as the first probability of the target load threshold of the cell in the second period, including:
- determining that the second preselected load threshold is determined as the second probability of the target load threshold of the cell in the second period includes:
- the second probability is determined according to the third probability and the number of pre-selected load thresholds.
- the evaluation value is the largest, indicating that when the preselected load threshold corresponding to the maximum evaluation value is selected as the target load threshold in the second cycle, the cell The best combined performance of KPI and energy saving is the best. Therefore, the probability of selecting the pre-selected load threshold corresponding to the maximum evaluation value as the target load threshold of the second cycle is the largest, so that the determined target load threshold of the second cycle can guarantee the KPI and try to The probability of reducing the energy consumption of the base station is the largest.
- the method before acquiring the target KPI parameter values of the cell when the load threshold of the cell is the first load threshold in the third period, the method further includes:
- the second coefficient may be 4.
- the eighth value is equal to the inverse of the product of the second coefficient and the sixth standard deviation
- the sixth standard deviation is the standard deviation of the plurality of KPIs of the second type in the cell within the second preset duration before the third period.
- This scheme eliminates the abnormal original value, so that the KPI parameter values recorded in the record table are normal values, which ensures the accuracy of the calculated evaluation value corresponding to each pre-selected load threshold.
- an apparatus for determining a load threshold including:
- the acquisition module is used to acquire multiple pre-selected load thresholds of the cell
- the obtaining module is further used to obtain an evaluation value corresponding to each pre-selected load threshold in the first period, and each evaluation value is used to evaluate key performance indicator KPI information and energy saving information of the cell;
- a determining module configured to determine a target load threshold of the cell in the second period according to each evaluation value, the target load threshold being a load threshold among the plurality of pre-selected load thresholds; the second period is the The next cycle of the first cycle.
- the acquisition module is specifically used to:
- the acquisition module is specifically used to:
- Acquiring parameter value groups corresponding to multiple time periods of the cell one parameter value group including values of at least one first parameter corresponding to the corresponding time period of the cell, and the at least one first parameter includes load;
- the parameter value groups corresponding to the multiple time periods determine a first relationship between at least one first parameter and throughput rate, and determine M second relationships between at least one first parameter and M KPIs, where M is a positive integer ;
- the maximum load threshold is determined according to the first relationship and the M second relationships.
- the acquisition module is specifically used to:
- the first curve is a curve corresponding to the first relationship
- the M second curves are the curves corresponding to the M second relationships, and the second curve and the One-to-one correspondence for the second relationship;
- the device stores a record table for recording each KPI parameter value, each energy saving parameter value, and evaluation value corresponding to each preselected load threshold;
- the acquiring module is further configured to acquire the cell when the load threshold of the cell in the third period is the first load threshold before the acquiring the evaluation value corresponding to each pre-selected load threshold in the first period
- the acquisition module is specifically used to:
- the first KPI parameter value set is a set of KPI parameter values corresponding to the one preselected load threshold recorded in the updated record table
- the second KPI parameter value set is the A set of KPI parameter values corresponding to the minimum load threshold in the updated record table
- the first energy saving parameter value set is a set of energy saving parameter values corresponding to the one pre-selected load threshold in the updated record table
- the second energy saving parameter value set is a set of energy saving parameter values corresponding to the minimum load threshold in the updated record table.
- the acquisition module is specifically used to:
- the KPI evaluation value of the cell According to the KPI evaluation value of the cell, the KPI evaluation value of the cluster where the cell is located, and the energy saving evaluation value of the cell, an evaluation value corresponding to the one preselected load threshold in the first period is obtained.
- the determination module is specifically used for:
- the first preselected load threshold is determined as the first probability of the target load threshold of the cell in the second period, and the first preselected load threshold is the preselected load threshold corresponding to the largest evaluation value among the evaluation values ;
- the second preselected load threshold is determined as the second probability of the target load threshold of the cell in the second period; the second preselected load threshold is the plurality of preselected load thresholds except the first preselected Any load threshold of the load threshold.
- the cell is at the target load threshold.
- the determination module is specifically used for:
- the determination module is specifically used for:
- the second probability is determined according to the third probability and the number of pre-selected load thresholds.
- the acquisition module is specifically used to:
- the first type of KPI is determined according to the parameters corresponding to the first type of KPI in the first KPI parameter value set and the second KPI parameter value set Corresponding to the first target KPI evaluation value of the cluster;
- the second type of KPI is determined according to the parameters corresponding to the second type of KPI in the first KPI parameter value set and the second KPI parameter value set Corresponding second target KPI evaluation value of the cluster;
- a KPI evaluation value of the cluster where the cell is located is obtained.
- the acquisition module is specifically used to:
- the first ratio is the ratio of the numerator filter value corresponding to the first type KPI in the first KPI parameter value set to the denominator filter value
- the second ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the first type KPI and the denominator filter value
- the first target KPI evaluation value is a third target KPI evaluation value; the third target KPI evaluation value is the first type of KPI corresponding to the one preselected load threshold in the third period The KPI evaluation value of the corresponding cluster;
- the first target KPI evaluation value is the third target KPI evaluation value
- the third value is a preset multiple of the ratio of the first standard deviation to the first average value
- the first standard deviation is the standard deviation of the first value corresponding to a preset number of periods before the first period
- the first average value is the average value of the first value corresponding to the preset number of cycles before the first cycle
- the first target KPI evaluation value is determined A second preset value; if the difference between the first value and the second value divided by the first value is greater than the third value and the cell is not in the first cell set, determine the The first target KPI evaluation value is the third target KPI evaluation value; the first cell set is a cell included in the cluster where the first difference is greater than 0, and the first difference is from large to small After the sequence is arranged, the first difference is located in the set of W cells in the top W.
- the acquisition module is specifically used to:
- the third ratio is the ratio of the numerator filter value corresponding to the second type KPI in the first KPI parameter value set to the denominator filter value
- the fourth ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the KPI of the second type and the denominator filter value
- the second difference between the third ratio and the fourth ratio is greater than or equal to 0, determine that the second target KPI evaluation value is a first preset value; if the second difference is less than 0, then Determining that the second target KPI evaluation value is a fourth target KPI evaluation value, and the fourth target KPI evaluation value is the second type of the second type corresponding to the one preselected load threshold in the third period KPI evaluation value of the cluster corresponding to the KPI;
- the second difference between the fourth value and the fifth value divided by the fourth value is greater than or equal to the sixth value, it is determined that the second target KPI evaluation value in the first period is the fourth The target KPI evaluation value; the sixth value is the opposite of the preset multiple of the ratio of the second standard deviation to the second average value; the second standard deviation is the preset number before the first period The standard deviation of the fourth value corresponding to the period, the average value of the fourth value corresponding to the preset number of periods before the first period of the second average value;
- the second target KPI evaluation value is the second A preset value; if the difference between the fourth value and the fifth value divided by the fourth value is less than the sixth value and the cell is not in the second cell set, determine the second target KPI evaluation value Is the fourth target KPI evaluation value; the second cell set is a cell included in the cluster where the second difference value is less than or equal to 0, and the absolute value of the second difference value is in descending order After the arrangement, the second difference lies in the set of W cells in the top W.
- the acquisition module is specifically used to:
- the first ratio is the ratio of the numerator filter value corresponding to the first type KPI in the first KPI parameter value set to the denominator filter value
- the second ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the first type KPI and the denominator filter value
- the difference between the first ratio and the second ratio is greater than the first absolute deterioration threshold of the cell, it is determined that the fifth target KPI evaluation value of the cell corresponding to the first type of KPI is the second A preset value; if the difference between the first ratio and the second ratio is less than or equal to the first absolute deterioration threshold, determine the fifth target KPI evaluation value as the first preset value;
- An absolute deterioration threshold is a third standard deviation multiplied by a first coefficient, and the third standard deviation is a plurality of the first types of the cells of the cell within a first preset duration before the first period Standard deviation of KPI;
- the third ratio is the ratio of the numerator filter value corresponding to the second type KPI in the first KPI parameter value set to the denominator filter value
- the fourth ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the KPI of the second type and the denominator filter value
- the difference between the third ratio and the fourth ratio is less than the second absolute deterioration threshold of the cell, determine the sixth target KPI evaluation value of the cell corresponding to the second type of KPI A second preset value; if the third ratio minus the fourth ratio is greater than or equal to the second absolute deterioration threshold, determining the sixth target KPI evaluation value as the first preset value;
- the second absolute deterioration threshold is the inverse number of the product of the fourth standard deviation and the first coefficient, and the fourth standard deviation is a plurality of the one of the cells in the first preset duration before the first period Standard deviation of the second type of KPI;
- the KPI evaluation value of the cell is obtained according to each of the fifth target KPI evaluation value and / or the sixth target KPI evaluation value.
- the acquiring module is further configured to, before acquiring the target KPI parameter value of the cell during the third period when the load threshold of the cell is the first load threshold:
- the second coefficient may be 4.
- the eighth value is equal to the inverse of the product of the second coefficient and the sixth standard deviation
- the sixth standard deviation is the standard deviation of the plurality of KPIs of the second type in the cell within the second preset duration before the third period.
- an embodiment of the present application provides an apparatus for determining a load threshold, including a processor
- the processor is used to couple with a memory, read and execute instructions in the memory, to implement the method as described in the first aspect and any possible design of the first aspect.
- an embodiment of the present application provides a computer storage medium, including an instruction, when the instruction runs on a device for determining a load threshold, causing the device for determining a load threshold to perform any one of the first aspect and the first aspect.
- a possible design is described in the method.
- the load threshold of the cell in the current cycle is determined according to the evaluation value corresponding to each preselected load threshold of the cell in the previous load update cycle. Since the evaluation value can evaluate the KPI information and energy saving information of the cell, therefore , Determine that the load threshold of the cell in the current period is determined after comprehensively considering the KPI information and energy saving information of the cell. Therefore, the load threshold determined by the method of this embodiment can achieve both KPI guarantee and as much as possible.
- FIG. 1 is a histogram of cell proportions under different load thresholds provided by an embodiment of the present application in one day;
- FIG. 2 is a schematic diagram of an application scenario provided by an embodiment of the present application.
- FIG. 3 is a flowchart of a method for determining a load threshold provided by an embodiment of this application.
- FIG. 4 is a schematic structural diagram of an apparatus for determining a load threshold provided by an embodiment of this application.
- FIG. 5 is a schematic structural diagram of a device for determining a load threshold provided by an embodiment of this application.
- At least one refers to one or more, and “multiple” refers to two or more.
- “And / or” describes the relationship of the related objects, indicating that there can be three relationships, for example, A and / or B, which can mean: A exists alone, A and B exist at the same time, B exists alone, where A, B can be singular or plural.
- the character "/” generally indicates that the related object is a "or” relationship.
- “At least one of the following” or a similar expression refers to any combination of these items, including any combination of single items or plural items.
- At least one item (a) in a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be a single or multiple .
- the terms "first”, “second”, etc. are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence.
- FIG. 1 is a histogram of cell ratios under different load thresholds in a day provided by an embodiment of the present application.
- the traffic service of the cell can be shut down.
- the current general load threshold is 20%.
- the proportion of cells with a load threshold of 20-25% is 10%
- the proportion of cells with a load threshold of 25-30% is about 8%; if the load threshold can be increased from 20% to 25%, The number of cells that can turn off the traffic service will increase by a certain percentage, and the time that the traffic service of each cell that can turn off the traffic service is turned off is extended.
- the load threshold can be increased from 20% to 30%, The number of cells that can turn off the traffic service will further increase, and the time that the traffic service of each cell that can turn off the traffic service is turned off is further extended.
- the increase of the load threshold is allowed to reduce the energy consumption of the base station, but it may affect the KPI of the cell. Therefore, in order to determine the load threshold that can both ensure KPI and reduce energy consumption as much as possible, the method of the embodiment of the present application is proposed.
- the method for determining the load threshold of the present application is a method for dynamically determining the load threshold, that is, setting the load threshold update in advance For the cycle and multiple preselected load thresholds, the load threshold of the cell in the next cycle is determined according to the evaluation value corresponding to each preselected load threshold in the current cycle, and the evaluation value is used to evaluate the KPI information and energy saving information of the cell.
- FIG. 2 is a schematic diagram of an application scenario provided by an embodiment of the present application.
- a device 21 for determining a load threshold is used to determine the next load threshold update cycle according to the evaluation value corresponding to each preselected load threshold in the current load threshold update cycle Target load threshold and sends the determined load threshold to the base station 22.
- the base station 22 controls the turn-off time of the traffic service of the cell within the current load threshold update period according to the target load threshold update period.
- the device 21 for determining the load threshold may also be part of the base station 22.
- FIG. 3 is a flowchart of a method for determining a load threshold provided by an embodiment of this application. Referring to FIG. 3, the method in this embodiment includes:
- Step S201 Acquire multiple pre-selected load thresholds of the cell
- Step S202 Obtain an evaluation value corresponding to each pre-selected load threshold in the first cycle, and each evaluation value is used to evaluate key performance indicator KPI information and energy saving information of the cell;
- Step S203 Determine the target load threshold of the cell in the second period according to each evaluation value, the target load threshold being the load threshold among the plurality of pre-selected load thresholds; the second period is the next period of the first period.
- the execution subject of this embodiment may be the device 21 for determining the load threshold shown in FIG. 2.
- steps S201 to S203 in this embodiment will be executed.
- the following uses a cell as an example to describe the method of this embodiment.
- step S201 in order to ensure KPI, the load threshold of the cell cannot be too high. In order to reduce the energy consumption of the base station, the load threshold of the cell cannot be too low. Therefore, multiple pre-selected load thresholds need to be determined within the range of the load threshold
- the target load threshold selected during the load threshold update period is one of multiple pre-selected load thresholds.
- obtaining multiple pre-selected load thresholds of a cell includes:
- the minimum load threshold may be a preset value, such as the current general load threshold of 20%.
- the method for obtaining the maximum load threshold may include:
- the multiple time periods here may be multiple time periods within a preset duration before the current time, for example, the multiple time periods here are parameters corresponding to each of the 24 ⁇ 7 time periods within a week before the current time Value group, one hour is a time period.
- the at least one parameter included in the parameter value group here includes at least the load, and may further include the number of users and the carrier bandwidth.
- the parameter value groups corresponding to the multiple time periods of the cell are obtained from the base station by the device that determines the load threshold.
- the M types of KPIs may include at least one of a call drop rate, a connection rate, and a handover success rate.
- the at least one first parameter and the at least one first parameter are determined according to the parameter value groups corresponding to the multiple time periods and the pre-trained machine learning model A first relationship of throughput rate, and M second relationships that determine the at least one first parameter and M KPIs.
- the machine learning model may be a regression model, such as a linear regression model.
- a linear regression model uses a linear regression model as an example to illustrate the process of acquiring the linear regression model and the process of using the linear regression model to obtain the first relationship and the M second relationships.
- each training sample includes: a time period (the length of the time period at this time is the same as the length of the time period in a 1 ) training parameter values, the same kind of training a set of parameter values and a type parameter in a parameter value included in the group included.
- the training sample a is the load value and the number of users corresponding to X3 to X4 on X1 January X2
- the training sample b is the load value and the number of users corresponding to X4 to X5 on X1 January X2.
- the number of labels for each training sample is M + 1, the M + 1 labels include: a first label indicating the throughput rate of the time period corresponding to the training sample, and M KPIs indicating the time period corresponding to the training sample M second labels.
- a linear regression algorithm (such as support vector regression (SVR) algorithm, polynomial regression (PR) algorithm) is used to train multiple training samples according to the first label of each training sample, and the first Linear regression model; for a KPI, a linear regression algorithm is used to train multiple training samples according to the second label corresponding to the KPI of each training sample to obtain a second linear regression model, for a total of M KPIs M second linear regression models.
- SVR support vector regression
- PR polynomial regression
- the device for generating the machine learning model may be in the same device as the device for determining the load threshold, or may be located in different devices.
- the parameter value groups corresponding to the multiple time periods obtained in a 1 are sequentially used as the input of the first linear regression model to obtain multiple information indicating the throughput rate, according to the parameter value groups corresponding to the multiple time periods and the multiple indications Throughput information, this first relationship is obtained.
- the parameter value groups corresponding to the multiple time periods acquired in a 1 are sequentially used as the input of the second linear regression model corresponding to the KPI, and multiple pieces of information indicating the KPI are obtained.
- a total of M second relationships are obtained for M KPIs.
- the first curve is the curve corresponding to the first relationship
- the M second curves are the curves corresponding to the M second relationships
- the two curves correspond to the second relationships one by one to determine the first load and the M second loads
- the minimum value is the maximum load threshold.
- the value of the load indicated by the abscissa corresponding to the maximum throughput rate on the first curve is the first load ;
- the maximum value of the KPI on the second curve is the second load corresponding to the KPI.
- the above method for obtaining the maximum load threshold determines the maximum load threshold according to the parameter value groups corresponding to the multiple time periods, fully considers the communication status of the cell, and makes the determined maximum load threshold more accurate.
- the plurality of pre-selected load thresholds include a maximum load threshold and a minimum load threshold.
- the multiple pre-selected load thresholds include a maximum load threshold, a minimum load threshold, and a load threshold between the maximum load threshold and the minimum load threshold.
- the multiple pre-selected load thresholds may be 20%, 21%, 22%, 23%, 24%, 25% , 26%, 27%, 28%, 29%, 30%.
- step S202 and step S203 an evaluation value corresponding to each pre-selected load threshold in the first cycle is obtained, and each evaluation value is used to evaluate the KPI information and energy saving information of the cell, according to the evaluations corresponding to the first cycle Value, to determine the target load threshold of the cell in the second cycle, the target load threshold is the load threshold of the plurality of pre-selected load thresholds; the second cycle is the next cycle of the first cycle.
- the cycles in this embodiment all refer to the load threshold update cycle.
- the load threshold of the cell is sequentially set to the above-mentioned multiple pre-selected load thresholds, for example, the load threshold of the cell is first set to 20%, and the base station monitors the KPI information of the cell under the load threshold, energy saving Information, and then set the load threshold of the cell to 21%, the base station monitors the KPI information and energy saving information of the cell under the load threshold, and so on, to obtain the KPI when the load threshold of the cell is each preselected load threshold in the initialization stage Information, energy saving information.
- the base station sends the KPI information and energy-saving information when the load threshold of the cell monitored during the initialization phase is each pre-selected load threshold to the device that determines the load threshold.
- the cell ID in Table 1 for the identity of the cell 0 may indicate that the minimum loading threshold
- G-1 may indicate that the maximum load threshold
- Table 1 KPI molecule filtered value of 0, KPI denominator filter value 0, KPI 1 molecular filter value
- the value of a KPI denominator filter parameter values are KPI
- KPI molecular filter value is a value 0 after filtering molecules
- KPI 0, 0 KPI denominator filtered value is a value obtained by filtering the denominator KPI 0, KPI
- molecular filtered value is a value obtained by filtering molecule KPI 1
- KPI filtered value of the denominator is a value obtained by filtering the denominator KPI 1
- KPI molecule filtered values 0 and 0 KPI denominator filtered values corresponding to one kind of KPI i.e.
- KPI 0, KPI 0 may drop rate; KPIs molecule filtered value and a denominator corresponding filtered value KPIs KPIs another, i.e. KPI 1, KPI 1 may be a connection rate; energy gain in table 1
- the value is an energy-saving parameter value, and the energy-saving gain value may be a power-saving degree filtered value, and there is no numerator filter value or denominator filter value.
- the evaluation value is obtained from each KPI parameter value and each energy-saving parameter value in the same row.
- KPI 0 , KPI , 1 are the KPI information monitored by the base station.
- the base station sends the KPI information to the device that determines the load threshold.
- the device that determines the load threshold filters the KPI information to obtain the KPI parameter value in the record table.
- the device for determining the load threshold filters the energy-saving information to obtain the energy-saving parameter value in the record table.
- KPI parameter values recorded in the record table correspond to several KPIs and are not limited to Table 1, that is, several KPIs are actually monitored, and KPI parameter values corresponding to several KPIs are recorded in the record table ;
- All energy-saving parameter values recorded in the record table corresponding to several energy-saving parameters are not limited to Table 1, that is, several energy-saving parameters are actually monitored, and the energy-saving parameter values corresponding to several energy-saving parameters are recorded in the record table, Table 1 is just one possible record table.
- the KPI parameter values and energy-saving parameter values corresponding to each pre-selected load threshold recorded in the recording table are based on the KPI information and energy-saving information obtained when the load threshold of the cell is the pre-selected load threshold obtained in the initialization phase. Obtained, the record table at this time may be called an initialization record table.
- each pre-selected load threshold Obtain the evaluation value corresponding to each pre-selected load threshold according to the KPI parameter value and the energy-saving parameter value recorded in the initialization record table, and according to each evaluation value, determine the cell in the first load update period from the multiple pre-selected load thresholds Target load threshold, where the target load threshold in the first load update cycle refers to the load threshold set for the cell in the first load update cycle, that is, each load update cycle corresponds to a target load threshold .
- each load update cycle corresponds to a target load threshold
- the target load threshold of the i-th cycle ie the i-th load update cycle
- the pre-selected load threshold j after the end of the i-th cycle, it will be based on the monitored In the i-th cycle
- the load threshold of the cell is the KPI information when the pre-selected load threshold j is updated, and the KPI parameter value corresponding to the pre-selected load threshold j in the record table is updated, and the load of the cell in the i-th cycle according to the monitoring
- the threshold is the energy saving information when the pre-selected load threshold j is updated, and the energy-saving parameter value corresponding to the pre-selected load threshold j in the record table is updated to obtain a new record table.
- the evaluation corresponding to each pre-selected load threshold in the i + 1th cycle is obtained
- the information adopted by the value is the information recorded in the new record table.
- the first cycle and the second cycle are arbitrary adjacent two cycles.
- the first KPI parameter value set is the set of KPI parameter values corresponding to the one preselected load threshold in the first record table
- the second KPI parameter value set is the corresponding minimum load threshold in the first record table
- the first energy saving parameter value set is a set of energy saving parameter values corresponding to the one preselected load threshold in the first record table
- the second energy saving parameter value set is corresponding to the minimum load threshold in the first record table Collection of energy saving parameter values.
- determining the evaluation value of the one pre-selected load threshold in the first period according to the first KPI parameter value set, the second KPI parameter value set, the first energy saving parameter value set and the second energy saving parameter value set includes :
- the first KPI parameter value set and the second KPI parameter value set determine the KPI evaluation value of the cell and the KPI evaluation value of the cluster where the cell is located, and according to the first energy saving parameter value set and the second energy saving parameter value set , Determine the energy-saving evaluation value of the cell, and obtain the evaluation value of the pre-selected load threshold in the first period based on the KPI evaluation value of the cell, the KPI evaluation value of the cluster where the cell is located, and the energy saving evaluation value of the cell .
- the evaluation value R 1 at the time of the one pre-selected load threshold in the first period can be obtained by the following formula:
- R 1 R 1_ CellKPI ⁇ R 1_ ClusterKPI ⁇ R 1_ Traffic
- R 1_ CellKPI is the KPI evaluation value of the cell
- R 1_ ClusterKPI is the KPI evaluation value of the cluster where the cell is located
- R 1_ Traffic is the energy-saving evaluation value of the cell.
- the above first record table is an updated record table obtained after performing the following steps b1 to b2.
- the first load threshold is the set load threshold of the cell in the third period.
- evaluation values -R 1_ CellKPI KPI above the cell where the cell cluster KPI evaluation value -R 1_ ClusterKPI, evaluation of the energy value -R 1_ Traffic cell acquisition method will be described.
- R 1_ Traffic can be obtained as follows:
- R 1_ Traffic 1 + (Traffic 1 -Traffic 0 ) / Traffic 0
- KPIs of the cell there are two types of KPIs. One is the smaller the better the KPI. This embodiment is called the first type of KPI. For example, the call drop rate is a KPI of the first type; one The larger is the better KPI. This embodiment is called the second type of KPI. For example, the turn-on rate is a KPI of the second type. It is understandable that several KPIs corresponding to all KPI parameter values recorded in the record table may be the first type of KPIs, may be the second type of KPIs, or may have both the first type of KPIs and the second Type of KPI. For example, the KPI parameter value recorded in the record table corresponds to two kinds of KPIs: one kind of KPI is the turn-on rate, and one kind of KPI is the handover success rate, and both KPIs belong to the second type of KPIs.
- the first type of KPI For example, the call drop rate is a KPI of the first type; one The larger is the better KPI.
- the first ratio being the ratio of the numerator filter value corresponding to the first type of KPI in the first KPI parameter value set and the denominator filter value
- the second ratio being the second KPI The ratio of the numerator filter value corresponding to the first type of KPI in the parameter value set and the denominator filter value
- the difference between the first ratio and the second ratio is greater than the first absolute deterioration threshold, it is determined that the fifth target KPI evaluation value of the cell corresponding to the first type of KPI is the second preset value; if the The difference between the first ratio and the second ratio is less than or equal to the first absolute deterioration threshold of the cell, then the fifth target KPI evaluation value is determined as the first preset value; the first absolute deterioration threshold is the third standard deviation Multiplied by the first coefficient, the third standard deviation is the standard deviation of the plurality of KPIs of the first type of the cell in the first preset duration before the first period.
- each KPI of the first type obtains the fifth target KPI evaluation value of the cell corresponding to the KPI of the first type according to the above method. That is, in one way, if the first preset value is 1, and the second preset value is 0, for the m-th first type of KPI, the m-th first type of KPI corresponds to the fifth target of the cell
- the KPI evaluation value R 11_ CellKPI m can be obtained by the following formula:
- KPI m is the ratio of the numerator filter value corresponding to the m-th first type KPI in the first KPI parameter value set to the denominator filter value, that is, the first ratio
- KPI m0 is the second KPI parameter value set
- X am is the first absolute deterioration threshold corresponding to the mth first type KPI, 1 ⁇ m ⁇ M.
- the first absolute deterioration threshold corresponding to the m-th first type of KPI may be the third standard of multiple m-th first type of KPIs of the cell within the first preset duration before the first period The difference is multiplied by the first coefficient.
- the first coefficient may be 2
- the first preset duration may be one week
- the KPI of the mth first type may be a KPI of the hour level, that is, one mth of the m KPI.
- the plurality of m-type first-type KPIs are 24 ⁇ 7 m-type first-type KPIs.
- KPI m is the ratio of the numerator filter value and the denominator filter value corresponding to the call drop rate in the first KPI parameter value set, which is the first The ratio of the numerator filter value and denominator filter value corresponding to the call drop rate corresponding to the one pre-selected load threshold recorded in the record table
- KPI m0 is the numerator filter value and denominator filter corresponding to the call drop rate in the second KPI parameter value set
- the ratio of the values that is, the ratio of the numerator filter value and the denominator filter value corresponding to the call drop rate corresponding to the minimum load threshold recorded in the first record table
- X am is the first preset duration before the first period
- the standard deviation of the multiple call drop rates within the cell within that cell is multiplied by the first coefficient.
- the numerator filter value corresponding to the dropped call rate is the value filtered by the numerator of the dropped call rate, and the denominator
- the first absolute deterioration threshold corresponding to the m- th first type of KPI is a positive value
- KPI m -KPI m0 is greater than X am
- KPI m is not only greater than KPI m0 , but the value greater than KPI m0 is also greater than X am
- R 11_ CellKPI m 0; if KPI m -KPI m0 is less than X am , it means that there are not many KPI m greater than KPI m0 , or that KPI m is less than or equal to KPI m0 , and the smaller the KPI of the first type, the more Okay, it means that when the load threshold of the cell is the preselected threshold,
- the third ratio being the ratio of the numerator filter value and the denominator filter value corresponding to the second type of KPI in the first KPI parameter value set
- the fourth ratio being the second KPI The ratio of the numerator filter value corresponding to the second type of KPI and the denominator filter value in the parameter value set;
- the difference between the third ratio and the fourth ratio is less than the second absolute deterioration threshold of the cell, it is determined that the sixth target KPI evaluation value of the cell corresponding to the second type of KPI is the second preset value ; If the third ratio minus the fourth ratio is greater than or equal to the second absolute deterioration threshold of the cell, determine the sixth target KPI evaluation value as the first preset value; the second absolute deterioration threshold is the fourth criterion
- the inverse of the product of the difference and the first coefficient, the third standard deviation is the standard deviation of the plurality of KPIs of the second type of the cell in the first preset duration before the first period;
- each KPI of the second type obtains the sixth target KPI evaluation value of the cell corresponding to the KPI of the second type according to the above method. That is, in one way, if the first preset value is 1, and the second preset value is 0, for the nth second type KPI, the nth second type KPI corresponds to the sixth target of the cell KPI evaluation value R 12_ CellKPI n may be obtained by the following formula:
- R 12_ CellKPI n [(KPI n -KPI n0) ⁇ X an? 0: 1]
- KPI n is the ratio of the numerator filter value corresponding to the n-th second type KPI in the first KPI parameter value set to the denominator filter value, that is, the third ratio
- KPI n0 is the second KPI parameter value set
- the ratio of the numerator filter value and the denominator filter value corresponding to the n-th second type of KPI is the fourth ratio
- X an is the second absolute deterioration threshold corresponding to the n-th second type of KPI, 1 ⁇ n ⁇ N.
- the second absolute deterioration threshold corresponding to the n-th second-type KPI may be the standard deviation of the n-th second-type KPIs of the cell within the first preset duration before the first period
- the inverse of the product of the first coefficient may be 2
- the first preset duration may be one week
- the KPI of the nth second type may be an hour level.
- the KPIs of the nth second type are 24 ⁇ 7 n second types of KPIs.
- KPI n is the ratio of the numerator filter value and the denominator filter value corresponding to the turn-on rate in the first KPI parameter value set, that is, the first The ratio of the numerator filter value and denominator filter value corresponding to the turn-on rate corresponding to the one pre-selected load threshold recorded in the record table
- KPI n0 is the numerator filter value and denominator filter value corresponding to the turn-on rate in the second KPI parameter value set Is the ratio of the numerator filter value and the denominator filter value corresponding to the on-rate corresponding to the minimum load threshold recorded in the first record table
- X an is the value within the first preset duration before the first period The inverse of the product of the standard deviation of the multiple connection rates of the cell and the first coefficient.
- the second absolute deterioration threshold corresponding to the nth second type of KPI is a negative value
- KPI n -KPI n0 is less than X an
- KPI n is not only less than KPI n0 , but the value less than KPI n0 is also greater than -X an
- R 1_ CellKPI will is 0; if R 1_ CellKPI is 0, the evaluation of a preselected threshold load value corresponding to zero.
- determining the KPI evaluation value of the cluster where the cell is located includes:
- (1) For a first type of KPI determine the first type of KPI according to the KPI parameter value corresponding to the first type of KPI in the first KPI parameter value set and the second KPI parameter value set The first target KPI evaluation value of the cluster corresponding to the KPI;
- the first target KPI evaluation value of the cluster corresponding to the first type of KPI is determined according to c1 to c2
- the first target KPI evaluation value of the cluster corresponding to the first type of KPI is determined according to c3 to c5.
- the first ratio is the ratio of the numerator filter value corresponding to the first type of KPI in the first KPI parameter value set and the denominator filter value.
- the second ratio is the The ratio of the numerator filter value corresponding to the first type of KPI in the KPI parameter value set and the denominator filter value;
- the first target KPI evaluation value is the third target KPI evaluation value; the third target KPI evaluation value is the KPI evaluation of the cluster corresponding to the first type of KPI corresponding to the one preselected load threshold in the third period Value; the third cycle is the previous cycle of the first cycle.
- the first target KPI evaluation value of the cluster where the cell corresponding to the KPI of the first type is obtained according to the above method. That is, in one way, if the first preset value is 1, for the m- th first type KPI, the first target KPI evaluation value R 11_ of the cluster where the cell corresponds to the m- th first type KPI ClusterKPI m can be obtained by the following formula:
- KPI m is the ratio of the numerator filter value corresponding to the m-th first type KPI in the first KPI parameter value set to the denominator filter value, that is, the first ratio
- KPI m0 is the value in the second KPI parameter value set
- the ratio of the numerator filter value and the denominator filter value corresponding to the mth first type KPI, that is, the second ratio, pr 1 is the mth first type corresponding to the one preselected load threshold in the third period
- the KPI evaluation value of the cluster corresponding to the KPI that is, the third target evaluation value corresponding to the m-th first type of KPI, 1 ⁇ m ⁇ M.
- R 11_ ClusterKPI m is equal to 1.
- KPI m -KPI m0 is greater than 0
- KPI m is greater than KPI m0
- the first type of KPI is as small as possible, it means that when the load threshold of the cell is the preselected threshold, it is relative to when the load threshold of the cell is At the minimum load threshold, the m- th first type of KPI becomes worse.
- a method for determining the first target KPI evaluation value of the cluster corresponding to the first type of KPI for the pre-selected load threshold is the target load threshold corresponding to the first period.
- the first value is obtained according to the first KPI parameter value set corresponding to all cells included in the cluster where the cell is located, and the first value is obtained according to the parameter corresponding to the KPI of the first type;
- the second KPI parameter value sets the parameter corresponding to the KPI of the first type to obtain the second value;
- the first KPI parameter value corresponding to all cells included in the cluster where the cell is located is added to the molecular filter value corresponding to the first type of KPI to obtain the first sum
- the first KPI parameter value set corresponding to all the cells in the cluster where the cell is located is added to the denominator filter value corresponding to the KPI of the first type to obtain a second sum, a ratio of the first sum to the second sum This is the first value.
- the first value is the first value corresponding to the first period.
- the first type of KPI is the call drop rate
- the cluster where the cell is located includes cell A and cell B.
- the second KPI parameter value corresponding to all cells included in the cluster where the cell is located is added to the molecular filter value corresponding to the first type of KPI to obtain a third sum, and the cell is located
- the second KPI parameter value corresponding to all cells included in the cluster is added to the denominator filter value corresponding to the KPI of the first type to obtain a fourth sum, and the ratio of the third sum to the fourth sum is the second value.
- the third value Is a preset multiple of the ratio of the first standard deviation to the first average value; the first standard deviation is the standard deviation of the first value corresponding to a preset number of cycles before the first cycle, the first average value It is the average value of the first value corresponding to the preset number of cycles before the first cycle.
- the first target KPI evaluation value of the cluster corresponding to the first type of KPI is 1.
- the preset multiple can be doubled, and the preset number can be 10; if the preset number is 10, then the first standard deviation is 10 corresponding to each of the 10 cycles before the first cycle The standard deviation of the first value.
- the first average value is the average value of the 10 first values corresponding to the 10 cycles before the first cycle.
- the method for obtaining the first value corresponding to each cycle is the same as in c3.
- the method for obtaining the first value corresponding to the first period is the same. For example, in a cycle before the week, the first value corresponding to the third cycle is the ratio of the fifth sum to the sixth sum, and the fifth sum is the total value corresponding to all the cells in the cluster in which the cell is located in the third cycle.
- the third value is equal to the preset multiple of the ratio of the original standard deviation to the original average.
- the process of acquiring the original standard deviation and the original average value is: acquiring the S corresponding to each of the first types of the L cells included in the cluster in which the cell is located within the third preset duration before the first period KPI, a KPI with L ⁇ S of the first type, converts each KPI of the first type into a numerator filter value and a denominator filter value.
- the S KPIs of the first type corresponding to one cell correspond to S time periods, and the molecular filter values corresponding to the L KPIs of the first type of the same time period corresponding to the L cell are added to obtain the seventh And, add L denominator filter values corresponding to the KPIs of the first type of the same time period corresponding to the L cell to obtain the eighth sum, and the ratio of the seventh sum to the eighth sum is called the original ratio, which can be obtained in total
- the standard deviation of the S original ratios is the original standard deviation
- the average of the S original ratios is the original average.
- the first target KPI evaluation value is determined to be the third The target KPI evaluation value; the first cell set is the cells included in the cluster with the first difference greater than 0. After the first difference is arranged in descending order, the first difference is located in the top W W A collection of cells.
- the method for acquiring the first difference value is as described in the above c1 to c2, and the second preset value may be 0.
- each KPI of the first type obtains the first target KPI evaluation of the cluster where the cell corresponding to the corresponding KPI of the first type according to the above method value.
- the second target KPI evaluation value of the cluster corresponding to the second type of KPI is determined, If the one pre-selected load threshold is the target load threshold corresponding to the first period, the second target KPI evaluation value of the cluster corresponding to the second type of KPI is determined according to d3 to d5.
- the third ratio is the ratio of the numerator filter value corresponding to the second type of KPI in the first KPI parameter value set and the denominator filter value
- the fourth ratio is the second KPI parameter value set the ratio of the numerator filter value corresponding to the second type of KPI and the denominator filter value
- the second difference between the third ratio and the fourth ratio is greater than or equal to 0, determine the second target KPI evaluation value as the first preset value; if the second difference is less than 0, determine the first
- the second target KPI evaluation value is the fourth target KPI evaluation value, and the fourth target KPI evaluation value is the KPI evaluation of the cluster corresponding to the second type of KPI corresponding to the one preselected load threshold in the third period Value; the third cycle is the previous cycle of the first cycle;
- each KPI of the second type obtains the second target KPI evaluation value of the cluster where the cell corresponds to the KPI of the second type according to the above method. That is, in one way, if the first preset value is 1, for the n-th type KPI of the second type, the second target KPI evaluation value R 12_ of the cluster corresponding to the n-type second-type KPI in the cluster where the cell is located ClusterKPI n can be obtained by the following formula:
- KPI n is the ratio of the numerator filter value corresponding to the n-th second type KPI in the first KPI parameter value set to the denominator filter value, that is, the third ratio
- KPI n0 is the value in the second KPI parameter value set
- the ratio of the numerator filter value to the denominator filter value corresponding to the nth second type KPI, that is, the fourth ratio, pr 2 is the nth second type corresponding to the one preselected load threshold in the third period
- the KPI evaluation value of the cluster corresponding to the KPI that is, the fourth target evaluation value corresponding to the nth type KPI of the second type, 1 ⁇ n ⁇ N.
- R 12_ ClusterKPI n is equal to 1.
- KPI n -KPI n0 is less than 0, it means that KPI n is less than KPI n0 , and as the KPI of the second type is as large as possible, it means that when the load threshold of the cell is the preselected threshold, it is relative to when the load threshold of the cell is At the minimum load threshold, the nth type KPI of the cluster becomes worse.
- a method for determining the second target KPI evaluation value of the cluster corresponding to the second type of KPI for the pre-selected load threshold is the target load threshold corresponding to the first period.
- the parameter corresponding to the KPI of the second type obtains the fifth value;
- the sixth value is the opposite of the preset multiple of the ratio of the second standard deviation to the second average; the second standard deviation is the fourth value corresponding to the preset number of cycles before the first cycle The standard deviation, the average value of the fourth value corresponding to the preset number of cycles of the second average value before the first cycle;
- the second target KPI evaluation value is the second preset value ; If the difference between the fourth value and the fifth value divided by the fourth value is less than or equal to the sixth value and the cell is not in the second cell set, determine the second target KPI evaluation value as the fourth target KPI evaluation value; the first cell set is the cells included in the cluster where the second difference is less than or equal to 0. After the absolute value of the second difference is arranged in descending order, the second difference is in front W is a collection of W cells.
- the KPI evaluation value of the cluster where the cell is located is obtained.
- the KPI evaluation value R 1_ ClusterKPI of the cell can be obtained by the following formula:
- the evaluation value corresponding to each pre-selected load threshold in the first period is obtained according to the above method, so that the evaluation value corresponding to each pre-selected load threshold in the first period can be obtained.
- the target load threshold of the second cycle can be determined according to the obtained evaluation values.
- determining the target load threshold of the cell in the second period includes:
- the first preselected load threshold is determined as the first probability of the target load threshold of the cell in the second period, and the first preselected load threshold is the preselected load threshold corresponding to the maximum evaluation value among the evaluation values;
- determining that the first preselected load threshold is determined as the first probability of the target load threshold of the cell in the second period includes: determining the third probability according to the number of periods in the second period and the number of preselected load thresholds, It is determined that the difference between 1 and the third probability is the first probability.
- the first probability P 1 can be obtained by the following formula:
- SQRT (t) is the number of periods of the second cycle, that is, the second cycle is the number of load threshold update cycles, and G is the number of pre-selected load thresholds.
- the second preselected load threshold is determined as the second probability of the target load threshold of the cell in the second cycle; the second preselected load threshold is the plurality of preselected load thresholds except the first preselected load threshold Load threshold.
- the second probability P 2 can be obtained by the following formula:
- the first probability that the first preselected load threshold is selected as the target load threshold and the second probability that the second preselected load threshold is selected as the target load threshold for the second period determine this from a plurality of preselected load thresholds The target load threshold of the cell in the second cycle.
- the first probability is 90%
- the second probability is 10%
- the probability of the first preselected load threshold is the target load threshold of the second period is 90%
- any second preselected load threshold is the target of the second period
- the probability of the load threshold is 10%
- the second cycle begins, and the load threshold in the second cycle is set to the target load threshold.
- the The load threshold in the cycle is the KPI of the target load threshold, update the KPI parameter value corresponding to the target load threshold in the above first record table, and the energy saving according to the monitored load threshold in the second cycle will be the target load threshold Parameter value, update the energy-saving parameter value corresponding to the target load threshold in the above first record table to obtain the updated second record table, then, the method used to obtain the evaluation value corresponding to each pre-selected load threshold in the fourth cycle Is the information recorded in the second record table, and the fourth period is the next period of the second period.
- e1 to e3 are also included:
- the KPI monitored by the base station during the third period when the load threshold of the cell is the first load threshold is each original KPI, and the device that determines the load threshold obtains each original KPI from the base station.
- the original KPI is the KPI without filtering to obtain the corresponding numerator filter value and denominator filter value.
- the call drop rate monitored by the base station when the load threshold of the cell in the third period is the first load threshold is an original KPI.
- the first original KPI is determined to be a normal value
- the third average value is the historical average value of the first original KPI
- the seventh value is equal to the second coefficient times the fifth standard deviation
- the fifth The standard deviation is the standard deviation of the plurality of KPIs of the first type in the cell within a second preset duration before the third period.
- the second coefficient may be 4.
- the second original KPI determines whether the absolute value of the difference between the second original KPI and the fourth average corresponding to the KPI of the second type is less than the eighth value. The judgment result is yes, that is, the second original KPI is determined to be a normal value, and the fourth average value is the historical average value of the second original KPI; the eighth value is equal to the opposite of the product of the second coefficient and the sixth standard deviation
- the sixth standard deviation is the standard deviation of the plurality of KPIs of the second type in the cell within the second preset duration before the third period.
- the acquisition of the sixth standard deviation refers to the above acquisition method of the fourth standard deviation.
- e3 please refer to e2, which will not be repeated here.
- the corresponding original KPI that is monitored when the load threshold of the cell in the third period is the first load threshold must be a normal value, and the relevant information in the record table will be updated.
- KPI parameter value to ensure the accuracy of the evaluation value corresponding to each pre-selected load threshold.
- acquiring the target KPI parameter value of the cell when the load threshold of the cell is the first load threshold in the third period includes:
- the target KPI parameter value will be obtained by the following formula:
- Is the i-th target KPI parameter value Is the i-th KPI parameter value in the KPI parameter value corresponding to the first load threshold recorded in the current record table
- n j, i is the filter factor corresponding to the first load threshold in the second period
- h i is the i th parameter value corresponding to the target KPI KPI original molecule
- Filter denominator value h i is the i-th original target KPI KPI parameters corresponding to the denominator.
- the target energy saving parameter value will be obtained by the following formula:
- Is the i-th target energy saving parameter value Is the ith energy-saving parameter value in the KPI parameter value corresponding to the first load threshold recorded in the above current record table
- n j, i is the filter factor corresponding to the first load threshold in the second cycle
- l i is the The original energy saving value corresponding to the i target energy saving parameter values.
- the method for obtaining n j, i is as follows: if the number of periods in the second cycle is less than the third preset value and there is a normal value in each of the original values (original KPI value and original energy saving value), the first filter is determined The factor is equal to n 1j, i-1 +1; if the number of periods of the second period is less than the third preset value and / or there is no normal value in each original value, it is determined that the first filtering factor is equal to n 1j, i- 1 ; n 1j, i-1 is the first filter factor corresponding to the first load threshold of the cell in the third period; wherein, the third preset value may be 150.
- the first filtering factor is equal to n 1j, i-1 + 1-n 1j, i-1 / m; If the number of periods of the second period is greater than the third preset value and / or there is no normal value in each original value, it is determined that the first filtering factor is equal to max (n 1j, i-1 -n 1j, i-1 / m , 1), m is the third preset value;
- the second filter factor is equal to n 2j, i-1 +1; if the number of periods of the second period is less than Or equal to the fourth preset value and / or there is no normal value in each original value, it is determined that the second filter factor is equal to n 2j, i-1 ; n 2j, i-1 is the cell ’s
- the second filter factor corresponding to the first load threshold; wherein, the fourth preset value may be 230.
- the second filter factor is equal to n 2j, i-1 + 1-n 2j, i-1 / n; if If the number of periods of the second period is greater than the fourth preset value and / or there is no normal value in each original value, it is determined that the second filter factor is equal to max (n 2j, i-1 -n 2j, i-1 / n , 1), n is the fourth preset value;
- n j, i is the first filtering factor, and if the first absolute value is greater than the second absolute value, it is determined that n j, i is the second filtering factor.
- the initial value of the filter factor may be 1.
- the load threshold of the cell in the current cycle is determined according to the evaluation value corresponding to each pre-selected load threshold of the cell in the previous load update period. Since the evaluation value can evaluate the KPI information and energy saving information of the cell, Therefore, the load threshold of the cell in the current period is determined after comprehensively considering the KPI information and energy-saving information of the cell. Therefore, the load threshold determined by the method of this embodiment can achieve both the KPI and the best possible The purpose of reducing the energy consumption of the base station.
- FIG. 4 is a schematic structural diagram 1 of an apparatus for determining a load threshold provided by an embodiment of the present application.
- the apparatus of this embodiment includes: an obtaining module 41 and a determining module 42.
- the obtaining module 41 is used to obtain multiple pre-selected load thresholds of the cell;
- the obtaining module 41 is further configured to obtain an evaluation value corresponding to each pre-selected load threshold in the first period, and each evaluation value is used to evaluate key performance indicator KPI information and energy saving information of the cell;
- the determining module 42 is configured to determine a target load threshold of the cell in the second period according to each evaluation value, the target load threshold being a load threshold among the plurality of pre-selected load thresholds; the second period is Describe the next cycle of the first cycle.
- the obtaining module 41 is specifically used to:
- a plurality of pre-selected load thresholds are obtained according to the maximum load threshold and the minimum load threshold, and the plurality of pre-selected load thresholds include the maximum load threshold and the minimum load threshold.
- the obtaining module 41 is specifically used to:
- Acquiring parameter value groups corresponding to multiple time periods of the cell one parameter value group including values of at least one first parameter corresponding to the corresponding time period of the cell, and the at least one first parameter includes load;
- the parameter value groups corresponding to the multiple time periods determine a first relationship between at least one first parameter and throughput rate, and determine M second relationships between at least one first parameter and M KPIs, where M is a positive integer ;
- the maximum load threshold is determined according to the first relationship and the M second relationships.
- the obtaining module 41 is specifically used to:
- the first curve is a curve corresponding to the first relationship
- the M second curves are the curves corresponding to the M second relationships, and the second curve and the One-to-one correspondence for the second relationship;
- the device stores a record table for recording each KPI parameter value, each energy saving parameter value, and evaluation value corresponding to each preselected load threshold;
- the acquiring module 41 is further configured to: before acquiring the evaluation value corresponding to each pre-selected load threshold in the first period, acquire the load threshold of the cell in the third period as the first load threshold Each target KPI parameter value and each target energy saving parameter value of the cell; the first load threshold is the target load threshold of the cell in the third cycle; the third cycle is the previous one of the first cycle Cycle; and,
- the obtaining module 41 is specifically used to:
- the first KPI parameter value set is a set of KPI parameter values corresponding to the one preselected load threshold recorded in the updated record table
- the second KPI parameter value set is the A set of KPI parameter values corresponding to the minimum load threshold in the updated record table
- the first energy saving parameter value set is a set of energy saving parameter values corresponding to the one pre-selected load threshold in the updated record table
- the second energy saving parameter value set is a set of energy saving parameter values corresponding to the minimum load threshold in the updated record table.
- the obtaining module 41 is specifically used to:
- the KPI evaluation value of the cell According to the KPI evaluation value of the cell, the KPI evaluation value of the cluster where the cell is located, and the energy saving evaluation value of the cell, an evaluation value corresponding to the one preselected load threshold in the first period is obtained.
- the determination module 42 is specifically used to:
- the first preselected load threshold is determined as the first probability of the target load threshold of the cell in the second period, and the first preselected load threshold is the preselected load threshold corresponding to the largest evaluation value among the evaluation values ;
- the second preselected load threshold is determined as the second probability of the target load threshold of the cell in the second period; the second preselected load threshold is the plurality of preselected load thresholds except the first preselected Any load threshold of the load threshold.
- the cell is at the target load threshold.
- the determination module 42 is specifically used to:
- the determination module is specifically used for:
- the second probability is determined according to the third probability and the number of pre-selected load thresholds.
- the obtaining module 41 is specifically used to:
- the first type of KPI is determined according to the parameters corresponding to the first type of KPI in the first KPI parameter value set and the second KPI parameter value set Corresponding to the first target KPI evaluation value of the cluster;
- the second type of KPI is determined according to the parameters corresponding to the second type of KPI in the first KPI parameter value set and the second KPI parameter value set Corresponding second target KPI evaluation value of the cluster;
- a KPI evaluation value of the cluster where the cell is located is obtained.
- the acquisition module is specifically used to:
- the first ratio is the ratio of the numerator filter value corresponding to the first type KPI in the first KPI parameter value set to the denominator filter value
- the second ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the first type KPI and the denominator filter value
- the first target KPI evaluation value is a third target KPI evaluation value; the third target KPI evaluation value is the first type of KPI corresponding to the one preselected load threshold in the third period The KPI evaluation value of the corresponding cluster;
- the first target KPI evaluation value is the third target KPI evaluation value
- the third value is a preset multiple of the ratio of the first standard deviation to the first average value
- the first standard deviation is the standard deviation of the first value corresponding to a preset number of periods before the first period
- the first average value is the average value of the first value corresponding to the preset number of cycles before the first cycle
- the first target KPI evaluation value is determined A second preset value; if the difference between the first value and the second value divided by the first value is greater than the third value and the cell is not in the first cell set, determine the The first target KPI evaluation value is the third target KPI evaluation value; the first cell set is a cell included in the cluster where the first difference is greater than 0, and the first difference is from large to small After the sequence is arranged, the first difference is located in the set of W cells in the top W.
- the obtaining module 41 is specifically used to:
- the third ratio is the ratio of the numerator filter value corresponding to the second type KPI in the first KPI parameter value set to the denominator filter value
- the fourth ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the KPI of the second type and the denominator filter value
- the second difference between the third ratio and the fourth ratio is greater than or equal to 0, determine that the second target KPI evaluation value is a first preset value; if the second difference is less than 0, then Determining that the second target KPI evaluation value is a fourth target KPI evaluation value, and the fourth target KPI evaluation value is the second type of the second type corresponding to the one preselected load threshold in the third period KPI evaluation value of the cluster corresponding to the KPI;
- the second difference between the fourth value and the fifth value divided by the fourth value is greater than or equal to the sixth value, it is determined that the second target KPI evaluation value in the first period is the fourth The target KPI evaluation value; the sixth value is the opposite of the preset multiple of the ratio of the second standard deviation to the second average value; the second standard deviation is the preset number before the first period The standard deviation of the fourth value corresponding to the period, the average value of the fourth value corresponding to the preset number of periods before the first period of the second average value;
- the second target KPI evaluation value is the second A preset value; if the difference between the fourth value and the fifth value divided by the fourth value is less than the sixth value and the cell is not in the second cell set, determine the second target KPI evaluation value Is the fourth target KPI evaluation value; the second cell set is a cell included in the cluster where the second difference value is less than or equal to 0, and the absolute value of the second difference value is in descending order After the arrangement, the second difference lies in the set of W cells in the top W.
- the obtaining module 41 is specifically used to:
- the first ratio is the ratio of the numerator filter value corresponding to the first type KPI in the first KPI parameter value set to the denominator filter value
- the second ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the first type KPI and the denominator filter value
- the difference between the first ratio and the second ratio is greater than the first absolute deterioration threshold of the cell, it is determined that the fifth target KPI evaluation value of the cell corresponding to the first type of KPI is the second A preset value; if the difference between the first ratio and the second ratio is less than or equal to the first absolute deterioration threshold, determine the fifth target KPI evaluation value as the first preset value;
- An absolute deterioration threshold is a third standard deviation multiplied by a first coefficient, and the third standard deviation is a plurality of the first types of the cells of the cell within a first preset duration before the first period Standard deviation of KPI;
- the third ratio is the ratio of the numerator filter value corresponding to the second type KPI in the first KPI parameter value set to the denominator filter value
- the fourth ratio is The second KPI parameter value set is the ratio of the numerator filter value corresponding to the KPI of the second type and the denominator filter value
- the difference between the third ratio and the fourth ratio is less than the second absolute deterioration threshold of the cell, determine the sixth target KPI evaluation value of the cell corresponding to the second type of KPI A second preset value; if the third ratio minus the fourth ratio is greater than or equal to the second absolute deterioration threshold, determining the sixth target KPI evaluation value as the first preset value;
- the second absolute deterioration threshold is the inverse number of the product of the fourth standard deviation and the first coefficient, and the fourth standard deviation is a plurality of the one of the cells in the first preset duration before the first period Standard deviation of the second type of KPI;
- the KPI evaluation value of the cell is obtained according to each of the fifth target KPI evaluation value and / or the sixth target KPI evaluation value.
- the acquiring module 41 is further configured to, before the acquiring, during the third period, when the load threshold of the cell is the first load threshold, each target KPI parameter value of the cell:
- the second coefficient may be 4.
- the eighth value is equal to the inverse of the product of the second coefficient and the sixth standard deviation
- the sixth standard deviation is the standard deviation of the plurality of KPIs of the second type in the cell within the second preset duration before the third period.
- each module in the apparatus for determining a load threshold is a functional body that implements various execution steps included in the method for determining the load threshold of the present application, that is, it has the capability to implement the determination to complete the application
- steps in the load threshold method and the functional bodies of the expansion and deformation of these steps please refer to the introduction of the method for determining the load threshold in this article. For the sake of brevity, this article will not repeat them.
- FIG. 5 is a schematic structural diagram of a device for determining a load threshold provided by an embodiment of the present application.
- the device of this embodiment may include a processor 51, a memory 52, and a communication bus 53.
- the processor 51 and the memory 52 are connected through a communication bus 53, the memory 52 is used to store instructions, and the processor 51 is used to execute the instructions stored in the memory.
- the memory of the encoding device stores the program code, and the processor 51 can call the program code stored in the memory 52 to perform the method for determining the load threshold described in this application. In order to avoid repetition, they are not described in detail here.
- the memory for storing instructions may also be a memory external to the device that determines the load threshold.
- the processor 51 may be a central processing unit (Central Processing Unit, referred to as "CPU"), and the processor 51 may also be other general-purpose processors, digital signal processors (DSPs), and dedicated integrated Circuit (ASIC), ready-made programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
- the general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
- the memory 52 may include a read only memory (ROM) device or a random access memory (RAM) device. Any other suitable type of storage device may also be used as the memory 52.
- the memory 52 may include codes and data accessed by the processor 51 using the communication bus 53.
- the memory 52 may further include an operating system and application programs.
- the communication bus 53 may also include a power bus, a control bus, and a status signal bus. However, for clarity, various buses are marked as communication buses 53 in the figure.
- the device that determines the load threshold may also include one or more output devices, such as a display.
- the display may be a tactile display that combines the display with a tactile unit that operably senses touch input.
- the display may be connected to the processor 51 via the communication bus 53.
- Computer-readable media may include computer-readable storage media, which corresponds to tangible media, such as data storage media, or communication media including any medium that facilitates transfer of a computer program from one place to another (eg, according to a communication protocol).
- computer-readable media may generally correspond to (1) non-transitory tangible computer-readable storage media, or (2) communication media, such as signals or carrier waves.
- Data storage media may be any available media that can be accessed by one or more computers or one or more processors to retrieve instructions, code and / or data structures for implementation of the techniques described in this application.
- the computer program product may include a computer-readable medium.
- such computer-readable storage media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage devices, magnetic disk storage devices or other magnetic storage devices, flash memory, or may be used to store instructions or data structures
- any connection is properly called a computer-readable medium.
- a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technology such as infrared, radio, and microwave are used to transmit instructions from a website, server, or other remote source
- the coaxial cable Wire, fiber optic cable, twisted pair, DSL or wireless technologies such as infrared, radio and microwave are included in the definition of media.
- the computer-readable storage media and data storage media do not include connections, carrier waves, signals, or other temporary media, but are actually directed to non-transitory tangible storage media.
- magnetic disks and optical discs include compact discs (CDs), laser discs, optical discs, digital versatile discs (DVDs), and Blu-ray discs, where magnetic discs usually reproduce data magnetically, while optical discs reproduce optically using laser data. Combinations of the above should also be included in the scope of computer-readable media.
- DSP digital signal processors
- ASIC application specific integrated circuits
- FPGA field programmable logic arrays
- DSP digital signal processors
- ASSIC application specific integrated circuits
- FPGA field programmable logic arrays
- DSP digital signal processors
- ASCI application specific integrated circuits
- FPGA field programmable logic arrays
- processor may refer to any of the foregoing structure or any other structure suitable for implementation of the techniques described herein.
- the functions described in the various illustrative logical blocks, modules, and steps described herein may be provided within dedicated hardware and / or software modules configured for encoding and decoding, or in combination Into the combined codec.
- the techniques can be fully implemented in one or more circuits or logic elements.
- the technology of the present application may be implemented in a variety of devices or equipment, including wireless handsets, integrated circuits (ICs), or a set of ICs (eg, chipsets).
- ICs integrated circuits
- a set of ICs eg, chipsets
- Various components, modules or units are described in this application to emphasize the functional aspects of the device for performing the disclosed technology, but do not necessarily need to be implemented by different hardware units.
- various units can be combined in a codec hardware unit in combination with suitable software and / or firmware, or by interoperating hardware units (including one or more processors as described above) provide.
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Abstract
本申请实施例提供一种确定负载门限的方法和装置,该方法包括:获取小区的多个预选负载门限;获取在第一周期内每一个预选负载门限对应的评价值,每个该评价值用于评价该小区的关键业绩指标KPI信息和节能信息;根据各评价值,确定该小区在第二周期内的目标负载门限,该目标负载门限为该多个预选负载门限中的负载门限;该第二周期为该第一周期的下一周期。本申请实施例确定的负载门限可以实现既能保证KPI,又能尽可能的降低基站的能耗的目的。
Description
本申请要求于2018年10月08日提交中国专利局、申请号为2018111677663、申请名称为“确定负载门限的方法和装置”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
本申请实施例涉及通信技术领域,尤其涉及一种确定负载门限的方法和装置。
能耗支出是运营商网络运维费用中较高的支出,因此,降低基站的能耗是备受关注的问题。
目前的做法为设置小区的话务服务的关断时间段和负载门限,当在该关断时间段中小区的负载小于或等于负载门限时,便关闭该小区的话务服务;可以理解的是,负载门限越高,基站的能耗降低越多。但是,为了不影响小区的关键业务指标(key performance indicator,简称KPI)和终端用户的体验,通常将负载门限的设置的比较保守,这使得降低基站的能耗受限。
因此,如何确定既能保证KPI,又能尽可能的降低基站能耗的负载门限,是亟待解决的问题。
发明内容
本申请提供一种确定负载门限的方法和装置,确定的负载门限可以实现既能保证小区的KPI,又能尽可能的降低基站能耗的目的。
第一方面,本申请实施例提供一种确定负载门限的方法,包括:获取小区的多个预选负载门限;获取在第一周期内每一个预选负载门限对应的评价值,每个所述评价值用于评价所述小区的关键业绩指标KPI信息和节能信息;根据各所述评价值,确定所述小区在第二周期内的目标负载门限,所述目标负载门限为所述多个预选负载门限中的负载门限;所述第二周期为所述第一周期的下一周期。
该方案中的周期指的是负载门限更新周期。在该方案中,根据在上一周期内小区的每一个预选负载门限对应的评价值,确定在当前周期内该小区的负载门限,由于评价值能够评价该小区的KPI信息和节能信息,因此,确定在当前周期内该小区的负载门限是综合考虑了该小区的KPI信息和节能信息后确定的,因此,该方案的方法确定的负载门限可以实现既能保证KPI,又能尽可能的降低基站的能耗的目的。
同时,该方案中动态的确定小区的负载门限,可以结合小区的实时通信情况变更负载门限,进一步保证该方案的方法确定的负载门限可以既能保证KPI,又能尽可能的降低基站的能耗。
首先对多个预选负载门限的获取过程进行说明。
在一种可能的设计中,所述获取小区的多个预选负载门限,包括:获取小区的最大负载门限和最小负载门限;根据所述最大负载门限和最小负载门限获取多个预选负载门限,所述多个预选负载门限包括所述最大负载门限和所述最小负载门限。
该方案中,确定一个最大的负载门限和一个最小的负载门限,小区在各周期内的负载门限在根据最大负载门限和最小负载门限确定的多个预选负载门限中选择,确定了负载门限的可选范围,降低了确定负载门限的计算量,提高了每个周期确定负载门限的效率。
对于最大负载门限的获取,在一种可能的设计中,所述获取最大负载门限,包括:
获取所述小区的多个时间段各自对应的参数值组,一个参数值组包括所述小区的相应时间段对应的至少一个第一参数的值,所述至少一个第一参数中包括负载;根据所述多个时间段各自对应的参数值组,确定至少一个第一参数和吞吐率的第一关系,以及确定至少一个第一参数和M种KPI的M个第二关系,M为正整数;根据所述第一关系和所述M个第二关系,确定所述最大负载门限。
其中,根据所述第一关系和所述M个第二关系,确定所述最大负载门限包括:确定第一曲线对应的吞吐率的最大值所对应的第一负载;所述第一曲线为所述第一关系对应的曲线;
确定M条第二曲线对应的M种KPI的最大值所对应的M个第二负载;所述M条第二曲线为所述M个第二关系对应的曲线,所述第二曲线和所述第二关系一一对应;
确定所述第一负载和所述M个第二负载中最小值为所述最大负载门限。
可选地,可采用机器学习的算法,根据所述多个时间段各自对应的参数值组,确定至少一个第一参数和吞吐率的第一关系,以及确定至少一个第一参数和M种KPI的M个第二关系。
该方案中,根据所述多个时间段各自对应的参数值组,确定最大负载门限,充分考虑了小区的通信状况,使得确定的最大负载门限比较准确。
其次,对获取在第一周期内每一个预选负载门限对应的评价值的过程进行说明。
在一种可能的设计中,在所述获取在第一周期内每一个预选负载门限对应的评价值之前,还包括:
获取在第三周期内所述小区的负载门限为第一负载门限时所述小区的各目标KPI参数值和各目标节能参数值;所述第一负载门限为所述小区在所述第三周期内的目标负载门限;所述第三周期为所述第一周期的上一周期;将当前记录表中记录的所述第一负载门限对应的各KPI参数值,更新为各所述目标KPI参数值,将所述当前记录表中记录的所述第一负载门限对应的各节能参数值,更新为各所述目标节能参数值,得到更新后的记录表;其中,记录表中记录有每个预选负载门限对应的各KPI参数值、各节能参数值和评价值。
该方案中,记录表的设置,实现了可以获取到每一个预选负载门限对应的评价值的目的。
基于上述更新后的记录表,获取在第一周期内每一个预选负载门限对应的评价值。在一种方式中,所述获取在第一周期内每一个预选负载门限对应的评价值,包括:
对于一个预选负载门限,根据第一KPI参数值集、第二KPI参数值集、第一节能参数值集和第二节能参数值集,确定在所述第一周期内所述一个预选负载门限对应的评价值;其中,所述第一KPI参数值集为所述更新后的记录表中记录的所述一个预选负载门限对应的KPI参数值的集合,所述第二KPI参数值集为所述更新后的记录表中的最小负载门限对应的KPI参数值的集合,所述第一节能参数值集为所述更新后的记录表中的所述一个预选负载门限对应的节能参数值的集合,所述第二节能参数值集为所述更新后的记录表中的最小负载门限对应的节能参数值的集合。
其中,所述根据第一KPI参数值集、第二KPI参数值集、第一节能参数值集和第二节能参数值集,确定在所述第一周期内所述一个预选负载门限对应的评价值,包括:
根据所述第一KPI参数值集和所述第二KPI参数值集,确定所述小区的KPI评价值以及所述小区所在的簇的KPI评价值;根据所述第一节能参数值集和第二节能参数值集,确定所述小区的节能评价值;根据所述小区的KPI评价值、所述小区所在的簇的KPI评价值和所述小区的节能评价值,得到在所述第一周期内所述一个预选负载门限对应的评价值。
其中,对于所述小区的KPI,存在两种类型的KPI,一种是越小越好的KPI,称为第一类型的KPI,比如掉话率是属于第一类型的一种KPI;一种是越大越好的KPI,称为第二类型的KPI,比如接通率是属于第二类型的一种KPI。因此,在确定所述小区的KPI评价值以及所述小区所在的簇的KPI评价值时,需要分别考虑第一类型的KPI和第二类型的KPI。
那么,对于所述小区的KPI评价值的获取方法包括:
对于一种第一类型的KPI:
获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第一比值与所述第二比值的差值大于所述小区的第一绝对恶化门限,则确定所述第一类型的KPI对应的所述小区的第五目标KPI评价值为第二预设值;若所述第一比值与所述第二比值的差值小于或等于所述第一绝对恶化门限,则确定所述第五目标KPI评价值为第一预设值;所述第一绝对恶化门限为第三标准差乘以第一系数,所述第三标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第一类型的KPI的标准差;
对于一种第二类型的KPI:
获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第三比值与所述第四比值的差值小于所述小区的第二绝对恶化门限,则确定所述一种第二类型的KPI对应的所述小区的第六目标KPI评价值为第二预设值;若所述第三比值减去所述第四比值大于或等于所述第二绝对恶化门限,则确定所述第六目标KPI评价值为第一预设值;所述第二绝对恶化门限为第四标准差与第一系数的乘积的相反数,所述第四标准差为所述第一周期之前的第一预设时长内的所述小区的多 个所述一种第二类型的KPI的标准差;
根据各所述第五目标KPI评价值和/或第六目标KPI评价值,得到所述小区的KPI评价值。
其中,第二预设值小于第一预设值,比如第一预设值可为1,第二预设值可为0。
该方案中,对于所述小区的KPI评价值的获取是基于所述一个预选负载门限的KPI比最小负载门限的KPI好还是坏确定的,获取的所述小区的KPI评价值客准确,从而使得最终得到的所述一个预选负载门限对应的评价值客观准确。
接着,对于所述小区所在的簇的KPI评价值的获取方法,包括:
在一种可能的设计中,所述根据所述第一KPI参数值集和所述第二KPI参数值集,确定所述小区所在的簇的KPI评价值,包括:
对于一种第一类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第一类型的KPI对应的参数,确定所述一种第一类型的KPI对应的所述簇的第一目标KPI评价值;对于一种第二类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第二类型的KPI对应的参数,确定所述一种第二类型的KPI对应的所述簇的第二目标KPI评价值;根据各所述第一目标KPI评价值和/或各所述第二目标KPI评价值,得到所述小区所在的簇的KPI评价值。
对于所述一种第一类型的KPI对应的所述簇的第一目标KPI评价值的获取,若所述一个预选负载门限不是所述第一周期的目标负载门限,则包括:
获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第一比值与所述第二比值的第一差值小于或等于0,则确定所述第一目标KPI评价值为第一预设值;若所述第一差值大于0,则确定所述第一目标KPI评价值为第三目标KPI评价值;所述第三目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第一类型的KPI所对应的所述簇的KPI评价值。
对于所述一种第一类型的KPI对应的所述簇的第一目标KPI评价值的获取,若所述一个预选负载门限是所述第一周期的目标负载门限,则包括:
根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第一类型的KPI对应的参数得到第一值;根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第一类型的KPI对应的参数得到第二值;若所述第一值与所述第二值的差值除以所述第一值小于或等于第三值,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第三值为第一标准差与第一平均值的比值的预设倍数;所述第一标准差为在所述第一周期之前的预设个数的周期对应的第一值的标准差,所述第一平均值在所述第一周期之前的所述预设个数的周期对应的第一值的平均值;若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区处于第一小区集合中,则确定所述第一目标KPI评价值为第二预设值;若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区不处于第一小区集合中,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第一小区集合为所述第一差值大于0的所述簇包括的小区中,第一差值按照从大到小的顺序排列后,第 一差值位于前W的W个小区的集合。
对于所述一种第二类型的KPI对应的所述簇的第二目标KPI评价值的获取,若所述一个预选负载门限不是所述第一周期的目标负载门限,则包括:
获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第三比值与所述第四比值的第二差值大于或等于0,则确定所述第二目标KPI评价值为第一预设值;若所述第二差值小于0,则确定所述第二目标KPI评价值为在第四目标KPI评价值,所述第四目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第二类型的KPI所对应的所述簇的KPI评价值。
对于所述一种第二类型的KPI对应的所述簇的第二目标KPI评价值的获取,若所述一个预选负载门限是所述第一周期的目标负载门限,则包括:
根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第二类型的KPI对应的参数得到第四值;根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第二类型的KPI对应的参数得到第五值;若所述第四值与所述第五值的第二差值除以第四值大于或等于第六值,则确定在所述第一周期所述第二目标KPI评价值为所述第四目标KPI评价值;所述第六值为第二标准差与第二平均值的比值的预设倍数的相反数;所述第二标准差为在所述第一周期之前的预设个数的周期对应的第四值的标准差,所述第二平均值在所述第一周期之前的所述预设个数的周期对应的第四值的平均值;若所述第四值与所述第五值的差值除以所述第四值小于第六值且所述小区处于第二小区集合中,则确定所述第二目标KPI评价值为第二预设值;若所述第四值与所述第五值的差值除以第四值小于第六值且所述小区不处于第二小区集合中,则确定所述第二目标KPI评价值为所述第四目标KPI评价值;所述第二小区集合为所述第二差值小于或等于0的所述簇包括的小区中,第二差值的绝对值按照从大到小的顺序排列后,第二差值位于前W的W个小区的集合。
该方案中,对于所述小区所在的簇的KPI评价值的获取是基于所述一个预选负载门限对应的所述簇的KPI比最小负载门限对应的所述簇的KPI是好还是坏确定的,获取的所述小区所在的簇的KPI评价值客观准确,从而使得最终得到的所述一个预选负载门限对应的评价值客观准确。
接着,对根据各所述评价值,确定所述小区在所述第二周期内的目标负载门限的方法进行说明。
在一种可能的设计中,所述根据各所述评价值,确定所述小区在所述第二周期内的目标负载门限,包括:
确定第一预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第一概率,所述第一预选负载门限为各所述评价值中的最大的评价值对应的预选负载门限;
确定第二预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第二概率;所述第二预选负载门限为所述多个预选负载门限中除了所述第一预选负载门限的任一负载门限。
根据所述第一概率和所述第二概率,确定所述小区在所述目标负载门限。
其中,所述确定第一预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第一概率,包括:
根据所述第二周期的期数和预选负载门限的个数,确定第三概率;
确定1与所述第三概率的差值为所述第一概率。
其中,确定第二预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第二概率,包括:
根据所述第三概率和预选负载门限的个数,确定所述第二概率。
在该方案中,基于上述对第一周期内的各预选负载门限对应的评价值的获取方法,评价值最大,说明选最大评价值对应的预选负载门限作为第二周期的目标负载门限时,小区的KPI和节能的综合性能最好,因此选取最大评价值对应的预选负载门限作为第二周期的目标负载门限的概率最大,使得确定的第二周期的目标负载门限即能保证KPI,又能尽量的降低基站的能耗的概率最大。
在一种可能的设计中,在所述获取在第三周期内当该小区的负载门限为第一负载门限时该小区的各目标KPI参数值之前,还包括:
获取在第三周期内当该小区的负载门限为第一负载门限时的各原始KPI和原始节能值;
对于各原始KPI中的一种第一类型的KPI,判断该一种第一类型的KPI对应的第一原始KPI与第三平均值的差值的绝对值是否大于第七值,得到的判断结果为是,即确定该第一原始KPI为正常值,该第三平均值为该第一原始KPI的历史平均值,该第七值等于第二系数乘以第五标准差,该第五标准差为该第三周期之前的第二预设时长内的该小区的多个该一种第一类型的KPI的标准差。可选地,第二系数可为4。
对于各原始KPI中的一种第二类型的KPI,判断该一种第二类型的KPI对应的第二原始KPI与第四平均值的差值的绝对值是否小于第八值,得到的判断结果为是,即确定该第二原始KPI为正常值,该第四平均值为该第二原始KPI的历史平均值;该第八值等于该第二系数与第六标准差的乘积的相反数,该第六标准差为该第三周期之前的该第二预设时长内的该小区的多个该一种第二类型的KPI的标准差。
该方案剔除了异常的原始值,使得记录表中记录的KPI参数值值均是正常的值,保证了计算出来的每个预选负载门限对应的评价值的准确。
第二方面,本申请实施例提供一种确定负载门限的装置,包括:
获取模块,用于获取小区的多个预选负载门限;
所述获取模块,还用于获取在第一周期内每一个预选负载门限对应的评价值,每个所述评价值用于评价所述小区的关键业绩指标KPI信息和节能信息;
确定模块,用于根据各所述评价值,确定所述小区在第二周期内的目标负载门限,所述目标负载门限为所述多个预选负载门限中的负载门限;所述第二周期为所述第一周期的下一周期。
在一种可能的设计中,所述获取模块,具体用于:
获取小区的最大负载门限和最小负载门限;
根据所述最大负载门限和最小负载门限获取多个预选负载门限,所述多个预选负 载门限包括所述最大负载门限和所述最小负载门限。
在一种可能的设计中,所述获取模块,具体用于:
获取所述小区的多个时间段各自对应的参数值组,一个参数值组包括所述小区的相应时间段对应的至少一个第一参数的值,所述至少一个第一参数中包括负载;
根据所述多个时间段各自对应的参数值组,确定至少一个第一参数和吞吐率的第一关系,以及确定至少一个第一参数和M种KPI的M个第二关系,M为正整数;
根据所述第一关系和所述M个第二关系,确定所述最大负载门限。
在一种可能的设计中,所述获取模块,具体用于:
确定第一曲线对应的吞吐率的最大值所对应的第一负载;所述第一曲线为所述第一关系对应的曲线;
确定M条第二曲线对应的M种KPI的最大值所对应的M个第二负载;所述M条第二曲线为所述M个第二关系对应的曲线,所述第二曲线和所述第二关系一一对应;
确定所述第一负载和所述M个第二负载中最小值为所述最大负载门限。
在一种可能的设计中,所述装置中存储有用于记录每个预选负载门限对应的各KPI参数值、各节能参数值和评价值的记录表;
所述获取模块,还用于,在所述获取在第一周期内每一个预选负载门限对应的评价值之前,获取在第三周期内所述小区的负载门限为第一负载门限时所述小区的各目标KPI参数值和各目标节能参数值;所述第一负载门限为所述小区在所述第三周期内的目标负载门限;所述第三周期为所述第一周期的上一周期;以及,
将当前记录表中记录的所述第一负载门限对应的各KPI参数值,更新为各所述目标KPI参数值,将所述当前记录表中记录的所述第一负载门限对应的各节能参数值,更新为各所述目标节能参数值,得到更新后的记录表。
在一种可能的设计中,所述获取模块,具体用于:
对于一个预选负载门限,根据第一KPI参数值集、第二KPI参数值集、第一节能参数值集和第二节能参数值集,确定在所述第一周期内所述一个预选负载门限对应的评价值;其中,所述第一KPI参数值集为所述更新后的记录表中记录的所述一个预选负载门限对应的KPI参数值的集合,所述第二KPI参数值集为所述更新后的记录表中的最小负载门限对应的KPI参数值的集合,所述第一节能参数值集为所述更新后的记录表中的所述一个预选负载门限对应的节能参数值的集合,所述第二节能参数值集为所述更新后的记录表中的最小负载门限对应的节能参数值的集合。
在一种可能的设计中,所述获取模块,具体用于:
根据所述第一KPI参数值集和所述第二KPI参数值集,确定所述小区的KPI评价值以及所述小区所在的簇的KPI评价值;
根据所述第一节能参数值集和第二节能参数值集,确定所述小区的节能评价值;
根据所述小区的KPI评价值、所述小区所在的簇的KPI评价值和所述小区的节能评价值,得到在所述第一周期内所述一个预选负载门限对应的评价值。
在一种可能的设计中,所述确定模块,具体用于:
确定第一预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第一概率,所述第一预选负载门限为各所述评价值中的最大的评价值对应的预选负载门 限;
确定第二预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第二概率;所述第二预选负载门限为所述多个预选负载门限中除了所述第一预选负载门限的任一负载门限。
根据所述第一概率和所述第二概率,确定所述小区在所述目标负载门限。
在一种可能的设计中,所述确定模块,具体用于:
根据所述第二周期的期数和预选负载门限的个数,确定第三概率;
确定1与所述第三概率的差值为所述第一概率。
在一种可能的设计中,所述确定模块,具体用于:
根据所述第三概率和预选负载门限的个数,确定所述第二概率。
在一种可能的设计中,所述获取模块,具体用于:
对于一种第一类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第一类型的KPI对应的参数,确定所述一种第一类型的KPI对应的所述簇的第一目标KPI评价值;
对于一种第二类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第二类型的KPI对应的参数,确定所述一种第二类型的KPI对应的所述簇的第二目标KPI评价值;
根据各所述第一目标KPI评价值和/或各所述第二目标KPI评价值,得到所述小区所在的簇的KPI评价值。
在一种可能的设计中,所述获取模块,具体用于:
获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第一比值与所述第二比值的第一差值小于或等于0,则确定所述第一目标KPI评价值为第一预设值;若所述第一差值大于0,则确定所述第一目标KPI评价值为第三目标KPI评价值;所述第三目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第一类型的KPI所对应的所述簇的KPI评价值;
或者,
根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第一类型的KPI对应的参数得到第一值;
根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第一类型的KPI对应的参数得到第二值;
若所述第一值与所述第二值的差值除以所述第一值小于或等于第三值,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第三值为第一标准差与第一平均值的比值的预设倍数;所述第一标准差为在所述第一周期之前的预设个数的周期对应的第一值的标准差,所述第一平均值在所述第一周期之前的所述预设个数的周期对应的第一值的平均值;
若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区处于第一小区集合中,则确定所述第一目标KPI评价值为第二预设值;若所述第一值与 所述第二值的差值除以所述第一值大于所述第三值且所述小区不处于第一小区集合中,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第一小区集合为所述第一差值大于0的所述簇包括的小区中,第一差值按照从大到小的顺序排列后,第一差值位于前W的W个小区的集合。
在一种可能的设计中,所述获取模块,具体用于:
获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第三比值与所述第四比值的第二差值大于或等于0,则确定所述第二目标KPI评价值为第一预设值;若所述第二差值小于0,则确定所述第二目标KPI评价值为在第四目标KPI评价值,所述第四目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第二类型的KPI所对应的所述簇的KPI评价值;
或者,
根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第二类型的KPI对应的参数得到第四值;
根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第二类型的KPI对应的参数得到第五值;
若所述第四值与所述第五值的第二差值除以第四值大于或等于第六值,则确定在所述第一周期所述第二目标KPI评价值为所述第四目标KPI评价值;所述第六值为第二标准差与第二平均值的比值的预设倍数的相反数;所述第二标准差为在所述第一周期之前的预设个数的周期对应的第四值的标准差,所述第二平均值在所述第一周期之前的所述预设个数的周期对应的第四值的平均值;
若所述第四值与所述第五值的差值除以所述第四值小于第六值且所述小区处于第二小区集合中,则确定所述第二目标KPI评价值为第二预设值;若所述第四值与所述第五值的差值除以第四值小于第六值且所述小区不处于第二小区集合中,则确定所述第二目标KPI评价值为所述第四目标KPI评价值;所述第二小区集合为所述第二差值小于或等于0的所述簇包括的小区中,第二差值的绝对值按照从大到小的顺序排列后,第二差值位于前W的W个小区的集合。
在一种可能的设计中,所述获取模块,具体用于:
对于一种第一类型的KPI:
获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第一比值与所述第二比值的差值大于所述小区的第一绝对恶化门限,则确定所述第一类型的KPI对应的所述小区的第五目标KPI评价值为第二预设值;若所述第一比值与所述第二比值的差值小于或等于所述第一绝对恶化门限,则确定所述第五目标KPI评价值为第一预设值;所述第一绝对恶化门限为第三标准差乘以第一系数,所述第三标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第一类型的KPI的标准差;
对于一种第二类型的KPI:
获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第三比值与所述第四比值的差值小于所述小区的第二绝对恶化门限,则确定所述一种第二类型的KPI对应的所述小区的第六目标KPI评价值为第二预设值;若所述第三比值减去所述第四比值大于或等于所述第二绝对恶化门限,则确定所述第六目标KPI评价值为第一预设值;所述第二绝对恶化门限为第四标准差与第一系数的乘积的相反数,所述第四标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第二类型的KPI的标准差;
根据各所述第五目标KPI评价值和/或第六目标KPI评价值,得到所述小区的KPI评价值。
在一种可能的设计中,所述获取模块,还用于,在所述获取在第三周期内当该小区的负载门限为第一负载门限时该小区的各目标KPI参数值之前:
获取在第三周期内当该小区的负载门限为第一负载门限时的各原始KPI和原始节能值;
对于各原始KPI中的一种第一类型的KPI,判断该一种第一类型的KPI对应的第一原始KPI与第三平均值的差值的绝对值是否大于第七值,得到的判断结果为是,即确定该第一原始KPI为正常值,该第三平均值为该第一原始KPI的历史平均值,该第七值等于第二系数乘以第五标准差,该第五标准差为该第三周期之前的第二预设时长内的该小区的多个该一种第一类型的KPI的标准差。可选地,第二系数可为4。
对于各原始KPI中的一种第二类型的KPI,判断该一种第二类型的KPI对应的第二原始KPI与第四平均值的差值的绝对值是否小于第八值,得到的判断结果为是,即确定该第二原始KPI为正常值,该第四平均值为该第二原始KPI的历史平均值;该第八值等于该第二系数与第六标准差的乘积的相反数,该第六标准差为该第三周期之前的该第二预设时长内的该小区的多个该一种第二类型的KPI的标准差。
第三方面,本申请实施例提供一种确定负载门限的装置,包括处理器;
所述处理器用于与存储器耦合,读取并执行所述存储器中的指令,以实现如第一方面以及第一方面任一可能的设计中所述的方法。
第四方面,本申请实施例提供一种计算机存储介质,包括指令,当所述指令在确定负载门限的装置上运行时,使得所述确定负载门限的装置执行如第一方面以及第一方面任一可能的设计中所述的方法。
本申请中,根据在上一负载更新周期内小区的每一个预选负载门限对应的评价值,确定在当前周期内该小区的负载门限,由于评价值能够评价该小区的KPI信息和节能信息,因此,确定在当前周期内该小区的负载门限是综合考虑了该小区的KPI信息和节能信息后确定的,因此,本实施例的方法确定的负载门限可以实现既能保证KPI,又能尽可能的降低基站的能耗的目的
图1为本申请实施例提供的在一天内处于不同的负载门限下的小区占比柱状图;
图2为本申请实施例提供的一种应用场景示意图;
图3为本申请实施例提供的确定负载门限的方法的流程图;
图4为本申请实施例提供的确定负载门限的装置的结构示意图;
图5为本申请实施例提供的确定负载门限的设备的结构示意图。
本申请中,“至少一个”是指一个或者多个,“多个”是指两个或两个以上。“和/或”,描述关联对象的关联关系,表示可以存在三种关系,例如,A和/或B,可以表示:单独存在A,同时存在A和B,单独存在B的情况,其中A,B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。“以下至少一项(个)”或其类似表达,是指的这些项中的任意组合,包括单项(个)或复数项(个)的任意组合。例如,a,b,或c中的至少一项(个),可以表示:a,b,c,a-b,a-c,b-c,或a-b-c,其中a,b,c可以是单个,也可以是多个。本申请中术语“第一”、“第二”等是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。
图1为本申请实施例提供的在一天内处于不同的负载门限下的小区占比柱状图。
目前在预设时间段内,若小区的负载的值小于设定的负载门限,则小区的话务服务可被关断,当前比较通用的负载门限为20%。参见图1可知,负载门限位于20~25%的小区的占比为10%,负载门限位于25~30%的小区的占比在8%左右;若负载门限可以从20%提高至25%,可关断话务服务小区的数量会有一定比例增加,且每个可关断话务服务的小区的话务服务被关断的时间被延长,若负载门限可以从20%提高至30%,可关断话务服务的小区的数量会有进一步的增加,且每个可关断话务服务的小区的话务服务被关断的时间进一步被延长。负载门限的提高,在降低基站的能耗上是被允许的,但是可能会影响小区的KPI。因此,为了确定既能保证KPI,又能尽可能的降低能耗的负载门限,提出了本申请实施例的方法。
由于小区的通信状况不是一成不变的,因此为了尽可能的减少负载门限的设定对KPI的影响,本申请的确定负载门限的方法为一种动态确定负载门限的方法,即预先设定负载门限更新周期和多个预选负载门限,根据当前周期内每一个预选负载门限时对应的评价值确定下一周期该小区的负载门限,评价值用于评价该小区的KPI信息和节能信息。
图2为本申请实施例提供的一种应用场景示意图,参见图2,确定负载门限的装置21用于根据当前负载门限更新周期内各预选负载门限对应的评价值,确定下一负载门限更新周期的目标负载门限,并将确定好的负载门限发送至基站22,基站22在该下一负载门限更新周期根据该目标负载门限控制小区的话务服务在当前负载门限更新周期内的关断时刻。
在另一种方式中,确定负载门限的装置21还可为基站22的一部分。
下面结合具体的实施例对本申请的确定负载门限的方法进行说明。
图3为本申请实施例提供的确定负载门限的方法的流程图,参见图3,本实施例的方法包括:
步骤S201、获取小区的多个预选负载门限;
步骤S202、获取在第一周期内每一个预选负载门限对应的评价值,每个评价值用于评价该小区的关键业绩指标KPI信息和节能信息;
步骤S203、根据各评价值,确定该小区在第二周期内的目标负载门限,目标负载门限为该多个预选负载门限中的负载门限;该第二周期为该第一周期的下一周期。
具体地,本实施例的执行主体可以为图2所示的确定负载门限的装置21。针对一个基站的每个小区,均会执行本实施例中的步骤S201~步骤S203,下面以一个小区为例,说明本实施例的方法。
在步骤S201中,为了保证KPI,小区的负载门限不能过高,为了降低基站的能耗,小区的负载门限不能过低,因此,需要在负载门限的范围内确定多个预选负载门限,每个负载门限更新周期内选用的目标负载门限为多个预选负载门限中的一个。
在一种方式中,获取小区的多个预选负载门限,包括:
(1)获取小区的最大负载门限和最小负载门限;
其中,最小负载门限可为预设的值,比如目前通用的负载门限20%。
最大负载门限的获取方法可包括:
a
1、获取该小区的多个时间段各自对应的参数值组,一个参数值组包括小区的相应时间段对应的至少一个第一参数的值,该至少一个第一参数中包括负载;
此处的多个时间段可为当前时刻之前的预设时长内的多个时间段,比如,此处的多个时间段为当前时刻之前的一周内的24×7个时间段各自对应的参数值组,一个小时为一个时间段。此处的参数值组包括的至少一个参数中至少包括负载,还可包括用户数量、载波带宽。
可以理解的是,该小区的多个时间段各自对应的参数值组是确定负载门限的装置从基站获取的。
a
2、根据该多个时间段各自对应的参数值组,确定该至少一个第一参数和吞吐率的第一关系,以及确定该至少一个第一参数和M种KPI的M个第二关系,M为正整数;
其中,M种KPI可包括:掉话率、接通率、切换成功率中的至少一项。
为了使得获得的第一关系和各第二关系比较准确,在一种方式中,根据该多个时间段各自对应的参数值组和预先训练好的机器学习模型,确定该至少一个第一参数和吞吐率的第一关系,以及确定该至少一个第一参数和M种KPI的M个第二关系。
其中,机器学习模型可为回归模型,比如线性回归模型。下面以线性回归模型为例说明线性回归模型的获取过程以及利用该线性回归模型得到该第一关系和该M个第二关系的过程。
对于线性回归模型的获取过程:获取多个训练样本和各训练样本标签,每个训练样本包括:一个时间段(此时的时间段的长度与a
1中的时间段的长度相同)对应的一个训练参数值组,一个训练参数值组中包括的参数的种类与a
1中的参数值组中包括的种类相同。比如训练样本a为X1月X2日X3时至X4时对应的负载值和用户数量,训练样本b为X1月X2日X4时至X5时对应的负载值、用户数量。每个训练样本的标签的个数为M+1个,该M+1个标签包括:指示训练样本对应的时间段的吞吐率的 第一标签、指示训练样本对应的时间段的M种KPI的M个第二标签。
采用线性回归算法(比如支持向量回归(support vector regression,简称SVR)算法,多项式回归(polynomial regression,简称PR)算法,根据各训练样本的第一标签,对多个训练样本进行训练,得到第一线性回归模型;对于一种KPI,采用线性回归算法,根据各训练样本的该一种KPI对应的第二标签,对多个训练样本进行训练,得到第二线性回归模型,对于M种KPI总共得到M个第二线性回归模型。
其中,机器学习模型的生成装置可与确定负载门限的装置在同一个设备中,也可位于不同的设备中。
将a
1中获取的多个时间段各自对应的参数值组依次作为第一线性回归模型的输入,得到多个指示吞吐率的信息,根据多个时间段各自对应的参数值组和多个指示吞吐率的信息,得到该第一关系。
对于一种KPI,将a
1中获取的多个时间段各自对应的参数值组依次作为该一种KPI对应的第二线性回归模型的输入,得到多个指示该一种KPI的信息,根据多个时间段各自对应的参数值组和多个指示该一种KPI的信息,得到该至少一个参数与该一种KPI的第二关系。对于M种KPI总共得到M个第二关系。
a
3、根据该第一关系和该M个第二关系,确定最大负载门限;
具体为:确定第一曲线对应的吞吐率的最大值所对应的第一负载,该第一曲线为该第一关系对应的曲线,确定M条第二曲线对应的M种KPI的M个最大值所对应的M个第二负载,该M条第二曲线为该M个第二关系对应的曲线,该二曲线和第二关系一一对应,确定该第一负载和该M个第二负载中最小值为该最大负载门限。
若该第一关系对应的第一曲线的纵坐标为吞吐率,横坐标为该至少一个参数,则第一曲线上的吞吐率的最大值对应的横坐标指示的负载的值即为第一负载;对于一种KPI,若该一种KPI对应的第二关系对应的第二曲线的纵坐标为该一种KPI,横坐标为该至少一个参数,则第二曲线上的该一种KPI的最大值对应的横坐标指示的负载的值即为该一种KPI对应的第二负载。这样,一共得到M+1个负载值:一个第一负载和M个第二负载,M+1个负载值中的最小值即为该最大负载门限。
上述获取最大负载门限的方法,根据所述多个时间段各自对应的参数值组,确定最大负载门限,充分考虑了小区的通信状况,使得确定的最大负载门限比较准确。
(2)根据最大负载门限和最小负载门限获取该多个预选负载门限,该多个预选负载门限包括最大负载门限和最小负载门限。
即该多个预选负载门限包括最大负载门限、最小负载门限,以及最大负载门限和最小负载门限之间的负载门限。
示例性地,若(1)中得到的最大负载门限为30%,最小负载门限为20%,则多个预选负载门限可为20%,21%、22%、23%、24%、25%、26%、27%、28%、29%、30%。
在步骤S202和步骤S203中、获取在第一周期内每一个预选负载门限对应的评价值,每个该评价值用于评价该小区的KPI信息和节能信息,根据该第一周期对应的各评价值,确定该小区在第二周期内的目标负载门限,该目标负载门限为该多个预选负载门限中的负载门限;该第二周期为该第一周期的下一周期。本实施例中的周期均是 指负载门限更新周期。
具体地,在初始化阶段,将小区的负载门限依次设置为上述的多个预选负载门限,比如,先将小区的负载门限设置为20%,基站监控在该负载门限下该小区的KPI信息、节能信息,接着将小区的负载门限设置为21%,基站监控在该负载门限下该小区的KPI信息、节能信息,依次类推,得到在初始化阶段,当小区的负载门限为各预选负载门限时的KPI信息、节能信息。基站会将在初始化阶段,监控的当小区的负载门限为各预选负载门限时的KPI信息、节能信息发送至确定负载门限的装置。
设置一个记录表,记录表用于记录该小区对应的每个预选负载门限对应的各KPI参数值、各节能参数值和评价值,记录表可如表1所示:
表1、一种可能的记录表
其中,表1中的小区ID为该小区的标识,0可指示最小负载门限,G-1可指示最大负载门限;表1中的KPI
0的分子滤波值、KPI
0的分母滤波值、KPI
1的分子滤波值、KPI
1的分母滤波值均为KPI参数值,KPI
,0的分子滤波值是KPI
0的分子滤波后的值,KPI
0的分母滤波值是KPI
0的分母滤波后的值,KPI
,1的分子滤波值是KPI
1的分子滤波后的值,KPI
1的分母滤波值是KPI
1的分母滤波后的值;KPI
0的分子滤波值和KPI
0的分母滤波值对应一种KPI,即KPI
0,KPI
0可为掉话率;KPI
1的分子滤波值和KPI
1的分母滤波值对应另一种KPI,即KPI
1,KPI
1可为接通率;表1中的节能增益值为节能参数值,节能增益值可为省电的度数滤波后的值,其不存在分子滤波值和分母滤波值。评价值是根据同一行内的各KPI参数值和各节能参数值得到的。
其中,KPI
0、KPI
,1是基站监控的KPI信息,基站会将KPI信息发送至确定负载门限的装置,确定负载门限的装置对KPI信息滤波后,得到记录表中的KPI参数值。基站监控的节能信息发送至确定负载门限的装置后,确定负载门限的装置对节能信息滤波后,得到记录表中的节能参数值。
可以理解的是,记录表中记录的所有KPI参数值对应几种KPI并不受限于表1的限制,即实际监控了几种KPI,记录表中就记录有几种KPI对应的KPI参数值;记录表中记录的所有节能参数值对应几种节能参数也不受限于表1的限制,即实际监控了几种节能参数,记录表中就记录有几种节能参数对应的节能参数值,表1只是一种可能的记录表。
在初始化阶段,记录表记录的每个预选负载门限对应的各KPI参数值、节能参数值为根据上述在初始化阶段得到的当小区的负载门限为各预选负载门限时的KPI信息、节能信息滤波后得到的,此时的记录表可称为初始化记录表。
根据初始化记录表中记录的KPI参数值和节能参数值,获取每一个预选负载门限 对应的评价值,根据各评价值,从该多个预选负载门限中确定该小区在第一个负载更新周期的目标负载门限,其中,在第一个负载更新周期内的目标负载门限是指在第一个负载更新周期为该小区设置的负载门限,也就是说,每个负载更新周期对应有一个目标负载门限。
由于每个负载更新周期对应有一个目标负载门限,因此,若第i个周期(即第i个负载更新周期)的目标负载门限为预选负载门限j,第i个周期结束后,会根据监控的在第i个周期内该小区的负载门限为预选负载门限j时的KPI信息,更新记录表中的预选负载门限j对应的KPI参数值,以及根据监控的在第i个周期内该小区的负载门限为预选负载门限j时的节能信息,更新记录表中的预选负载门限j对应的节能参数值,得到新的记录表,那么,获取在第i+1周期内每个预选负载门限对应的评价值所采用的信息为该新的记录表中记录的信息。
下面结合上述对记录表的阐述,以相邻的第一周期和第二周期(第二周期为第一周期的下一周期)为例,说明确定该小区在第二周期内的目标负载门限的过程。其中,第一周期和第二周期为任意的相邻的两个周期。
首先,获取在第一周期内每一个预选负载门限对应的评价值;其中,获取在第一周期内每一个预选负载门限对应的评价值,包括:
对于一个预选负载门限,根据第一KPI参数值集、第二KPI参数值集、第一节能参数值集和第二节能参数值集,确定在该第一周期内该一个预选负载门限对应的评价值;其中,该第一KPI参数值集为第一记录表中的该一个预选负载门限对应的KPI参数值的集合,该第二KPI参数值集为第一记录表中的最小负载门限对应的KPI参数值的集合,第一节能参数值集为第一记录表中的该一个预选负载门限对应的节能参数值的集合,该第二节能参数值集为第一记录表中的最小负载门限对应的节能参数值的集合。
其中,“根据第一KPI参数值集、第二KPI参数值集、第一节能参数值集和第二节能参数值集,确定在该第一周期内该一个预选负载门限时的评价值”包括:
根据该第一KPI参数值集和该第二KPI参数值集,确定该小区的KPI评价值以及该小区所在的簇的KPI评价值,根据该第一节能参数值集和第二节能参数值集,确定该小区的节能评价值,根据该小区的KPI评价值、该小区所在的簇的KPI评价值和该小区的节能评价值,得到在该第一周期内该一个预选负载门限时的评价值。
具体地,在一种方式中,可通过如下公式获取该第一周期内该一个预选负载门限时的评价值R
1:
R
1=R
1_CellKPI×R
1_ClusterKPI×R
1_Traffic
其中,R
1_CellKPI为该小区的KPI评价值,R
1_ClusterKPI为该小区所在的簇的KPI评价值,R
1_Traffic该小区的节能评价值。
此时,上述的第一记录表为在进行完下述b1~b2步骤后得到的更新后的记录表。
b1、获取在第三周期内当该小区的负载门限为第一负载门限时该小区的各目标KPI参数值和各目标节能参数值;该第一负载门限为所述小区在该第三周期的目标负载门限;该第三周期为该第一周期的上一周期;
其中,第一负载门限也就是设置的在第三周期内该小区的负载门限。
b2、将当前记录表中记录的该第一负载门限对应的各KPI参数值,更新为各目标KPI参数值,将当前记录表中记录的该第一负载门限对应的各节能参数值,更新为各目标节能参数值,得到更新后的记录表。
下面分别对上述的该小区的KPI评价值—R
1_CellKPI,该小区所在的簇的KPI评价值-R
1_ClusterKPI,该小区的节能评价值-R
1_Traffic的获取方法进行说明。
首先,对该小区的节能评价值—R
1_Traffic的获取方法进行说明。
在一种方式中,可通过如下方式获取R
1_Traffic:
R
1_Traffic=1+(Traffic
1-Traffic
0)/Traffic
0
其中,Traffic
1为该第一节能参数集中的节能参数值,也就是上述第一记录表中记录的该一个预选负载门限对应的节能参数值,比如当节能参数为节能增益时,Traffic
1为上述第一记录表中记录的该一个预选负载门限对应的节能增益值;Traffic
0为第二节能参数集中的节能参数值,也就是上述第一记录表中记录的该最小负载门限对应的节能参数值,比如当节能参数为节能增益时,Traffic
0为上述第一记录表中记录的该最小负载门限对应的节能增益值。若Traffic
0为0,则R
1_Traffic为一固定值,比如1。
其次,对该小区的KPI评价值—R
1_CellKPI的获取方法进行说明。
对于该小区的KPI,存在两种类型的KPI,一种是越小越好的KPI,本实施例中称为第一类型的KPI,比如掉话率是属于第一类型的一种KPI;一种是越大越好的KPI,本实施例中称为第二类型的KPI,比如接通率是属于第二类型的一种KPI。可以理解的是,记录表中记录的所有KPI参数值对应的几种KPI可能均是第一类型的KPI,可能均是第二类型的KPI,也可能既有第一类型的KPI,也有第二类型的KPI。比如:记录表中记录的KPI参数值对应两种KPI:一种KPI为接通率,一种KPI为切换成功率,该两种KPI均属于第二类型的KPI。
则“根据该第一KPI参数值集和该第二KPI参数值集,确定该小区的KPI评价值”,包括如下的(1)~(3):
(1)对于一种第一类型的KPI,按照如下方法,获取该一种第一类型的KPI:
获取第一比值和第二比值,该第一比值为该第一KPI参数值集中该一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,该第二比值为该第二KPI参数值集中的该一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;
若该第一比值与该第二比值的差值大于第一绝对恶化门限,则确定该一种第一类型的KPI对应的该小区的第五目标KPI评价值为第二预设值;若该第一比值与该第二比值的差值小于或等于该小区的第一绝对恶化门限,则确定该第五目标KPI评价值为第一预设值;该第一绝对恶化门限为第三标准差乘以第一系数,该第三标准差为该第一周期之前的第一预设时长内的该小区的多个该一种第一类型的KPI的标准差。
具体地,每种第一类型的KPI均按照上述方法获取该一种第一类型的KPI对应的该小区的第五目标KPI评价值。即在一种方式中,若第一预设值为1,第二预设值为0,对于第m种第一类型的KPI,第m种第一类型的KPI对应的该小区的第五目标KPI评价值R
11_CellKPI
m可通过如下公式得到:
R
11_CellKPI
m=[(KPI
m-KPI
m0)>X
am?0:1]
其中,KPI
m为该第一KPI参数值集中的该第m种第一类型的KPI对应的分子滤波值与分母滤波值的比值,也就是第一比值,KPI
m0为该第二KPI参数值集中的该第m种第一类型的KPI对应的分子滤波值与分母滤波值的比值,也就是第二比值,X
am为第m种第一类型的KPI对应的第一绝对恶化门限,1≤m≤M。
对于第m种第一类型的KPI对应的第一绝对恶化门限:其可为该第一周期之前的第一预设时长内的该小区的多个第m种第一类型的KPI的第三标准差乘以第一系数。其中,第一系数可为2,第一预设时长可为一周,第m种第一类型的KPI可为小时级别的KPI,即一周内的每一个小时获取一个该第m种第一类型的KPI,此时,多个第m种第一类型的KPI为24×7个第m种第一类型的KPI。
示例性地,若第m种第一类型的KPI为掉话率,则KPI
m为该第一KPI参数值集中的掉话率对应的分子滤波值与分母滤波值的比值,也就是上述第一记录表中记录的该一个预选负载门限对应的掉话率所对应的分子滤波值与分母滤波值的比值,KPI
m0为该第二KPI参数值集中的掉话率对应的分子滤波值与分母滤波值的比值,也就是上述第一记录表中记录的该最小负载门限对应的掉话率所对应的分子滤波值与分母滤波值的比值,X
am为该第一周期之前的第一预设时长内的该小区的多个掉话率的标准差乘以第一系数。其中,掉话率对应的分子滤波值是由掉话率的分子滤波后的值,掉话率对应的分母滤波值是由掉话率的分母滤波后的值
由于第m种第一类型的KPI对应的第一绝对恶化门限是个正值,若KPI
m-KPI
m0大于X
am,说明KPI
m不仅大于KPI
m0,大于KPI
m0的值还大于X
am,而由于第一类型的KPI越小越好,说明当该小区的负载门限为该一个预选门限时相对于当该小区的负载门限为该最小负载门限时该第m种第一类型的KPI变差了,此时,令R
11_CellKPI
m=0;若KPI
m-KPI
m0小于X
am,说明KPI
m大于KPI
m0的不多,或者,KPI
m小于等于KPI
m0,而由于第一类型的KPI越小越好,说明当该小区的负载门限为该一个预选门限时相对于当该小区的负载门限为该最小负载门限时该第m种第一类型的KPI变差的程度在可以接受的范围内或者没变或者变好了,此时,R
11_CellKPI
m=1。
(2)对于一种第二类型的KPI,按照如下方法,获取该一种第二类型的KPI:
获取第三比值和第四比值,该第三比值为该第一KPI参数值集中该一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,该第四比值为该第二KPI参数值集中该一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;
若该第三比值与该第四比值的差值小于该小区的第二绝对恶化门限,则确定该一种第二类型的KPI对应的该小区的第六目标KPI评价值为第二预设值;若该第三比值减去该第四比值大于或等于该小区的第二绝对恶化门限,则确定该第六目标KPI评价值为第一预设值;该第二绝对恶化门限为第四标准差与第一系数的乘积的相反数,该第三标准差为该第一周期之前的第一预设时长内的该小区的多个该一种第二类型的KPI的标准差;
具体地,每种第二类型的KPI均按照上述方法获取该一种第二类型的KPI对应的该小区的第六目标KPI评价值。即在一种方式中,若第一预设值为1,第二预设值为0,对于第n种第二类型的KPI,第n种第二类型的KPI对应的该小区的第六目标KPI评价值R
12_CellKPI
n可通过如下公式得到:
R
12_CellKPI
n=[(KPI
n-KPI
n0)<X
an?0:1]
其中,KPI
n为该第一KPI参数值集中的该第n种第二类型的KPI对应的分子滤波值与分母滤波值的比值,也就是第三比值,KPI
n0为该第二KPI参数值集中的该第n种第二类型的KPI对应的分子滤波值与分母滤波值的比值,也就是第四比值,X
an为第n种第二类型的KPI对应的第二绝对恶化门限,1≤n≤N。
对于第n种第二类型的KPI对应的第二绝对恶化门限:其可为该第一周期之前的第一预设时长内的该小区的多个第n种第二类型的KPI的标准差与第一系数的乘积的相反数。其中,第一系数可为2,第一预设时长可为一周,第n种第二类型的KPI可为小时级别,此时,多个第n种第二类型的KPI为24×7个第n种第二类型的KPI。
示例性地,若第n种第二类型的KPI为接通率,则KPI
n为该第一KPI参数值集中的接通率对应的分子滤波值与分母滤波值的比值,也就是上述第一记录表中记录的该一个预选负载门限对应的接通率对应的分子滤波值与分母滤波值的比值,KPI
n0为该第二KPI参数值集中的接通率对应的分子滤波值与分母滤波值的比值,也就是上述第一记录表中记录的该最小负载门限对应的接通率对应的分子滤波值与分母滤波值的比值,X
an为该第一周期之前的第一预设时长内的该小区的多个接通率的标准差与第一系数的乘积的相反数。
由于第n种第二类型的KPI对应的第二绝对恶化门限是个负值,若KPI
n-KPI
n0小于X
an,说明KPI
n不仅小于KPI
n0,小于KPI
n0的值还大于-X
an,而由于第二类型的KPI越大越好,说明当该小区的负载门限为该一个预选门限时相对于当该小区的负载门限为该最小负载门限时该第n种第二类型的KPI变差了,此时,R
12_CellKPI
n=0;若KPI
n-KPI
n0大于X
an,说明KPI
n小于KPI
n0不多,或者KPI
n大于KPI
n0,而由于第二类型的KPI越大越好,说明当该小区的负载门限为该一个预选门限时相对于当该小区的负载门限为该最小负载门限时该第n种第二类型的KPI变差的程度在可以接受的范围内,或者,没有变,或者,变好了,此时,令R
12_CellKPI
n=1。
(3)根据各第五目标KPI评价值和/或第六目标KPI评价值,得到该小区的KPI评价值。
在一种方式中,可通过如下公式,获取该小区的KPI评价值R
1_CellKPI:
因此,只要R
11_CellKPI
m、R
12_CellKPI
n中有一个为0,则R
1_CellKPI就会为0;若R
1_CellKPI为0,则该一个预选负载门限对应的评价值就为0。
接着,对该小区所在的簇的KPI评价值-R
1_ClusterKPI的获取方法进行说明。
其中,根据该第一KPI参数值集和该第二KPI参数值集,确定该小区所在的簇的KPI评价值,包括:
(1)对于一种第一类型的KPI,根据该第一KPI参数值集中和该第二KPI参数值集中该一种第一类型的KPI对应的KPI参数值,确定该一种第一类型的KPI对应的该簇的第一目标KPI评价值;
(2)对于一种第二类型的KPI,根据该第一KPI参数值集和该第二KPI参数值集 中该一种第二类型的KPI对应的KPI参数值,确定该一种第二类型的KPI对应的该簇的第二目标KPI评价值;
(3)根据各第一目标KPI评价值和/或各第二目标KPI评价值,得到该小区所在的簇的KPI评价值。
对于(1),若该一个预选负载门限不为该第一周期对应的目标负载门限,则根据c1~c2,确定该一种第一类型的KPI对应的该簇的第一目标KPI评价值,若该一个预选负载门限为该第一周期对应的目标负载门限,则根据c3~c5,确定该一种第一类型的KPI对应的该簇的第一目标KPI评价值。
首先,对该一个预选负载门限不为该第一周期对应的目标负载门限,确定该一种第一类型的KPI对应的该簇的第一目标KPI评价值的方法进行说明。
c1、获取第一比值和第二比值,该第一比值为该第一KPI参数值集中该一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,该第二比值为该第二KPI参数值集中的该一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;
c2、若该第一比值与该第二比值的第一差值小于等于0,则确定该第一目标KPI评价值为该第一预设值;若该第一差值大于0,则确定该第一目标KPI评价值为第三目标KPI评价值;该第三目标KPI评价值为在第三周期内该一个预选负载门限对应的该一种第一类型的KPI所对应的该簇的KPI评价值;该第三周期为该第一周期的上一周期。
具体地,每种第一类型的KPI均按照上述方法获取该一种第一类型的KPI对应的该小区所在的簇的第一目标KPI评价值。即在一种方式中,若第一预设值为1,对于第m种第一类型的KPI,第m种第一类型的KPI对应的该小区所在的簇的第一目标KPI评价值R
11_ClusterKPI
m可通过如下公式得到:
R
11_ClusterKPI
m=[(KPI
m-KPI
m0)≥0?1:pr
1]
其中,KPI
m为该第一KPI参数值集中的该第m种第一类型的KPI对应的分子滤波值与分母滤波值的比值,即第一比值,KPI
m0为该第二KPI参数值集中的该第m种第一类型的KPI对应的分子滤波值与分母滤波值的比值,即第二比值,pr
1为在该第三周期内该一个预选负载门限对应的该第m种第一类型的KPI所对应的该簇的KPI评价值,也就是该第m种第一类型的KPI对应的第三目标评价值,1≤m≤M。
在初始化阶段,R
11_ClusterKPI
m等于1。
若KPI
m-KPI
m0大于0,说明KPI
m大于KPI
m0,而由于第一类型的KPI越小越好,说明当该小区的负载门限为该一个预选门限时相对于当该小区的负载门限为该最小负载门限时该第m种第一类型的KPI变差了,此时,令R
11_CellKPI
m=pr;若KPI
m-KPI
m0小于0,说明KPI
m小于等于KPI
m0,而由于第一类型的KPI越小越好,说明当该小区的负载门限为该一个预选门限时相对于当该小区的负载门限为该最小负载门限时该第m种第一类型的KPI对应的该簇的KPI没变或者变好了,此时,R
11_ClusterKPI
m=1。
其次,对该一个预选负载门限为该第一周期对应的目标负载门限,确定该一种第一类型的KPI对应的该簇的第一目标KPI评价值的方法进行说明。
c3、根据该小区所在的簇包括的所有小区各自对应的第一KPI参数值集中该一种 第一类型的KPI对应的参数得到第一值;根据该小区所在的簇包括的所有小区各自对应的第二KPI参数值集中该一种第一类型的KPI对应的参数得到第二值;
具体地,对于该第一值:将该小区所在的簇包括的所有小区各自对应的第一KPI参数值集中该一种第一类型的KPI对应的分子滤波值相加,得到第一和,将该小区所在的簇包括的所有小区各自对应的第一KPI参数值集中该一种第一类型的KPI对应的分母滤波值相加,得到第二和,该第一和与该第二和的比值即为该第一值。该第一值为该第一周期对应的第一值。
示例性地,该一种第一类型的KPI为掉话率,该小区所在的簇包括A小区和B小区,A小区对应的第一记录表中的该一个预选负载门限对应的第一KPI参数值集中的掉话率所对应的分子滤波值为1,分母滤波值为100,B小区对应的第一记录表中的该一个预选负载门限对应的第二KPI参数值集中的掉话率所对应的分子滤波值为2,分母滤波值为51,则第一和等于1+2=3,第二和等于100+51=151,第一值等于3/151。
对于该第二值:将该小区所在的簇包括的所有小区对应的第二KPI参数值集中该一种第一类型的KPI对应的分子滤波值相加,得到第三和,将该小区所在的簇包括的所有小区对应的第二KPI参数值集中该一种第一类型的KPI对应的分母滤波值相加,得到第四和,该第三和与该第四和的比值即为该第二值。
c4、若该第一值与该第二值的差值除以该第一值小于或等于第三值,则确定该第一目标KPI评价值为该第三目标KPI评价值;该第三值为第一标准差与第一平均值的比值的预设倍数;该第一标准差为在该第一周期之前的预设个数的周期对应的第一值的标准差,该第一平均值为在该第一周期之前的预设个数的周期对应的第一值的平均值。
具体地,若第一值为0,则该一种第一类型的KPI对应的该簇的第一目标KPI评价值为1。
其中,预设倍数可为2倍,预设个数可为10个;若预设个数为10个,则该第一标准差为在该第一周期之前的10个周期各自对应的10个第一值的标准差,该第一平均值为在该第一周期之前的10个周期各自对应的10个第一值的平均值,每个周期对应的第一值的获取方法,与c3中获取该第一周期对应的第一值的方法相同。比如,该一周之前的一个周期该第三周期对应的第一值是第五和与第六和的比值,第五和为该第三周期内该小区所在的簇包括的所有小区对应的所有第一记录表中记录的该一种第一类型的KPI的对应的分子滤波值的和,第六和为该第三周期内该小区所在的簇包括的所有小区对应的所有第一记录表中记录的该一种第一类型的KPI的对应的分母滤波值的和。
若该第一周期之前的周期的个数小于该预设个数,则第三值等于原始标准差与原始平均值的比值的该预设倍数。
其中,原始标准差和原始平均值的获取过程为;获取该第一周期之前的第三预设时长内的该小区所在的簇包括的L个小区的各自对应的S个该一种第一类型的KPI,一种具有L×S个该一种第一类型的KPI,将每个该一种第一类型的KPI转化成一个分子滤波值和一个分母滤波值。一个小区对应的S个该一种第一类型的KPI对应S个时间段,将L小区对应的时间段相同的L个该一种第一类型的KPI对应的分子滤波值相 加,得到第七和,将L小区对应的时间段相同的L个该一种第一类型的KPI对应的分母滤波值相加得到第八和,第七和与第八和的比值称为原始比值,一共可得到S个原始比值,则S个原始比值的标准差为该原始标准差,S个原始比值的平均值为该原始平均值。
c5、若该第一值与该第二值的差值除以该第一值大于该第三值且该小区处于第一小区集合中,则确定该第一目标KPI评价值为第二预设值;若该第一值与该第二值的差值除以该第一值大于该第三值且该小区不处于第一小区集合中,则确定该第一目标KPI评价值为该第三目标KPI评价值;该第一小区集合为该第一差值大于0的该簇包括的小区中,第一差值按照从大到小的顺序排列后,第一差值位于前W的W个小区的集合。
具体地,第一差值的获取方法如上述的c1~c2中所述,第二预设值可为0。
当该一个预选负载门限为该第一周期对应的目标负载门限时,每种第一类型的KPI均按照上述方法获取相应的第一类型的KPI对应的该小区所在的簇的第一目标KPI评价值。
对于(2),若该一个预选负载门限不为该第一周期对应的目标负载门限,则根据d1~d2,确定该一种第二类型的KPI对应的该簇的第二目标KPI评价值,若该一个预选负载门限为该第一周期对应的目标负载门限,则根据d3~d5,确定该一种第二类型的KPI对应的该簇的第二目标KPI评价值。
首先,对该一个预选负载门限不为该第一周期对应的目标负载门限,确定该一种第二类型的KPI对应的该簇的第二目标KPI评价值的方法进行说明。
d1、获取第三比值和第四比值,该第三比值为第一KPI参数值集中该一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,该第四比值为该第二KPI参数值集中该一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;
d2、若该第三比值与该第四比值的第二差值大于等于0,则确定该第二目标KPI评价值为第一预设值;若该第二差值小于0,则确定该第二目标KPI评价值为在第四目标KPI评价值,该第四目标KPI评价值为在第三周期内该一个预选负载门限对应的该一种第二类型的KPI所对应的该簇的KPI评价值;该第三周期为该第一周期的上一周期;
具体地,每种第二类型的KPI均按照上述方法获取该一种第二类型的KPI对应的该小区所在的簇的第二目标KPI评价值。即在一种方式中,若第一预设值为1,对于第n种第二类型的KPI,第n种第二类型的KPI对应的该小区所在的簇的第二目标KPI评价值R
12_ClusterKPI
n可通过如下公式得到:
R
12_ClusterKPI
n=[(KPI
n-KPI
n0)≤0?1:pr
2]
其中,KPI
n为该第一KPI参数值集中的该第n种第二类型的KPI对应的分子滤波值与分母滤波值的比值,即第三比值,KPI
n0为该第二KPI参数值集中的该第n种第二类型的KPI对应的分子滤波值与分母滤波值的比值,即第四比值,pr
2为在该第三周期内该一个预选负载门限对应的该第n种第二类型的KPI所对应的该簇的KPI评价值,也就是该第n种第二类型的KPI对应的第四目标评价值,1≤n≤N。
在初始化阶段,R
12_ClusterKPI
n等于1。
若KPI
n-KPI
n0小于0,说明KPI
n小于KPI
n0,而由于第二类型的KPI越大越好,说明当该小区的负载门限为该一个预选门限时相对于当该小区的负载门限为该最小负载门限时该簇的该第n种第二类型的KPI变差了,此时,R
12_ClusterKPI
n=pr;若KPI
n-KPI
n0大于等于0,说明KPI
n大于等于KPI
n0,而由于第二类型的KPI越大越好,说明当该小区的负载门限为该一个预选门限时相对于当该小区的负载门限为该最小负载门限时该簇的该第n种第二类型的KPI没变或者变好了,此时,R
12_ClusterKPI
n=1。
其次,对该一个预选负载门限为该第一周期对应的目标负载门限,确定该一种第二类型的KPI对应的该簇的第二目标KPI评价值的方法进行说明。
d3、根据该小区所在的簇包括的所有小区对应的第一KPI参数值集中该一种第二类型的KPI对应的参数得到第四值,根据该小区所在的簇包括的所有小区对应的第二KPI参数值集中该一种第二类型的KPI对应的参数得到第五值;
d4、若该第四值与该第五值的第二差值除以第四值大于或等于第六值,则确定在该第一周期该第二目标KPI评价值为该第四目标KPI评价值;该第六值为第二标准差与第二平均值的比值的预设倍数的相反数;该第二标准差为在该第一周期之前的预设个数的周期对应的第四值的标准差,该第二平均值在该第一周期之前的预设个数的周期对应的第四值的平均值;
d5、若该第四值与该第五值的差值除以该第四值小于第六值且该小区处于第二小区集合中,则确定该第二目标KPI评价值为第二预设值;若该第四值与该第五值的差值除以第四值小于或等于第六值且该小区不处于第二小区集合中,则确定该第二目标KPI评价值为该第四目标KPI评价值;该第为小区集合为该第二差值小于或等于0的该簇包括的小区中,第二差值的绝对值按照从大到小的顺序排列后,第二差值位于前W的W个小区组成的集合。
对于d3~d5,参照c3~c5中的阐述,此处不再赘述。
对于(3)根据各第一目标KPI评价值和/或各第二目标KPI评价值,得到该小区所在的簇的KPI评价值。
在一种方式中,可通过如下公式,获取该小区的KPI评价值R
1_ClusterKPI:
可以理解的是,在该第一周期内每一个预选负载门限对应的评价值均按照上述的方法获取,如此,便可得到在该第一周期内每一个预选负载门限对应的评价值。在获取到在该第一周期内每一个预选负载门限对应的评价值后,便可根据得到的各评价值,确定该第二周期的目标负载门限。
具体地,根据各评价值,确定该小区在第二周期的目标负载门限,包括:
(1)确定第一预选负载门限被确定为该小区在该第二周期的目标负载门限的第一概率,该第一预选负载门限为各评价值中的最大评价值对应的预选负载门限;
其中,确定第一预选负载门限被确定为该小区在该第二周期的目标负载门限的第一概率,包括:根据该第二周期的期数和预选负载门限的个数,确定第三概率,确定 1与该第三概率的差值为该第一概率。
可通过如下公式获取第一概率P
1:
P
1=1-P
3
其中,SQRT(t)为该第二周期的期数,也就是该第二周期为第几个负载门限更新周期,G为预选负载门限的个数。
(2)确定第二预选负载门限被确定为该小区在该第二周期的目标负载门限的第二概率;该第二预选负载门限为该多个预选负载门限中除了该第一预选负载门限的负载门限。
可通过如下公式获取第二概率P
2:
(3)根据该第一概率和该第二概率,确定该小区在该第二周期的目标负载门限。
按照上述第一预选负载门限被选中作为该目标负载门限的第一概率和上述第二预选负载门限被选中作为该第二周期的目标负载门限的第二概率,从多个预选负载门限中确定该小区在该第二周期的目标负载门限。
比如,第一概率为90%,第二概率为10%,第一预选负载门限为该第二周期的目标负载门限的概率为90%,任一第二预选负载门限为该第二周期的目标负载门限的概率为10%
在确定了该第二周期的目标负载门限后,该第二周期开始,该第二周期内的负载门限设置为该目标负载门限,在该第二周期结束后,会根据监控的在该第二周期内负载门限为该目标负载门限的KPI,更新上述第一记录表中的该目标负载门限对应的KPI参数值,以及会根据监控的在该第二周期内负载门限为该目标负载门限的节能参数值,更新上述第一记录表中的该目标负载门限对应的节能参数值,得到更新后的第二记录表,那么,获取在第四周期内每一个预选负载门限所对应的评价值所采用的信息为该第二记录表中记录的信息,第四周期为该第二周期的下一周期。
最后,对上述的步骤b1~b2进行说明;
b1、获取在第三周期内当该小区的负载门限为第一负载门限时该小区的各目标KPI参数值和各目标节能参数值;该第一负载门限为该小区在该第三周期的目标负载门限;该第三周期为该第一周期的上一周期;
b2、将当前记录表中记录的该第一负载门限对应的各KPI参数值,更新为各目标KPI参数值,将当前记录表中记录的该第一负载门限对应的各节能参数值,更新为各目标节能参数值。
具体地,在b1中获取在第三周期内当该小区的负载门限为第一负载门限时该小区的各目标KPI参数值之前,还包括e1~e3:
e1、获取在第三周期内当该小区的负载门限为第一负载门限时的各原始KPI和原始节能值;
其中,基站监控的在第三周期内当该小区的负载门限为第一负载门限时的KPI即为各原始KPI,确定负载门限的装置从基站获取各原始KPI。
原始KPI为没有进行滤波得到相应的分子滤波值和分母滤波值的KPI,比如在第三周期内该小区的负载门限为第一负载门限时基站监控的掉话率即为一种原始KPI。
e2、对于各原始KPI中的一种第一类型的KPI,判断该一种第一类型的KPI对应的第一原始KPI与第三平均值的差值的绝对值是否大于第七值,得到的判断结果为是,即确定该第一原始KPI为正常值,该第三平均值为该第一原始KPI的历史平均值,该第七值等于第二系数乘以第五标准差,该第五标准差为该第三周期之前的第二预设时长内的该小区的多个该一种第一类型的KPI的标准差。
其中,每一种第一类型的KPI对应的原始KPI是否为正常值均按照e2中的方法判断。该第五标准差的获取参照上述第三标准差的获取方法,此处不再赘述;可选地,第二系数可为4。
e3、对于各原始KPI中的一种第二类型的KPI,判断该一种第二类型的KPI对应的第二原始KPI与第四平均值的差值的绝对值是否小于第八值,得到的判断结果为是,即确定该第二原始KPI为正常值,该第四平均值为该第二原始KPI的历史平均值;该第八值等于该第二系数与第六标准差的乘积的相反数,该第六标准差为该第三周期之前的该第二预设时长内的该小区的多个该一种第二类型的KPI的标准差。
其中,该第六标准差的获取参照上述第四标准差的获取方法。e3的具体实现参见e2,此处不再赘述。
也就是说,对于记录表对应的每一种KPI,在第三周期内该小区的负载门限为第一负载门限时监控得到的相应的原始KPI必须是正常的值,才会更新记录表中相关的KPI参数值,以保证各预选负载门限对应的评价值的准确性。
那么,对于b1、获取在第三周期内当该小区的负载门限为第一负载门限时该小区的目标KPI参数值,包括:
通过如下公式将得到各目标KPI参数值:
其中,
为第i个目标KPI参数值,
为上述当前记录表中记录的该第一负载门限对应KPI参数值中的第i个KPI参数值,n
j,i为该第二周期的该第一负载门限对应的滤波因子;若
为分子滤波值,则h
i为第i个目标KPI参数值对应的原始KPI的分子,若
为分母滤波值,则h
i为第i个目标KPI参数值对应的原始KPI的分母。
通过如下公式将得到各目标节能参数值:
其中,
为第i个目标节能参数值,
为上述当前记录表中记录的该第一负载门限对应KPI参数值中的第i个节能参数值,n
j,i为该第二周期的该第一负载门限对应的滤波因子;l
i为第i个目标节能参数值对应的原始节能值。
其中,n
j,i的获取方法如下:若该第二周期的期数小于第三预设值且对应的各原始值(原始KPI值和原始节能值)中存在正常值,则确定第一滤波因子等于n
1j,i-1+1;若 该第二周期的期数小于第三预设值和/或各原始值中不存在正常值,则确定该第一滤波因子等于n
1j,i-1;n
1j,i-1为该小区在该第三周期内该第一负载门限对应的第一滤波因子;其中,第三预设值可为150。
若该第二周期的期数大于第三预设值且各原始值中存在正常值,则确定该第一滤波因子等于n
1j,i-1+1-n
1j,i-1/m;若该第二周期的期数大于第三预设值和/或各原始值中不存在正常值,则确定该第一滤波因子等于max(n
1j,i-1-n
1j,i-1/m,1),m为该第三预设值;
若该第二周期的期数小于或等于第四预设值且各原始值中存在正常值,则确定第二滤波因子等于n
2j,i-1+1;若该第二周期的期数小于或等于第四预设值和/或各原始值中不存在正常值,则确定该第二滤波因子等于n
2j,i-1;n
2j,i-1为该小区在该第三周期内该第一负载门限对应的第二滤波因子;其中,第四预设值可为230。
若该第二周期的期数大于第四预设值且各原始值中存在正常值,则确定该第二滤波因子等于n
2j,i-1+1-n
2j,i-1/n;若该第二周期的期数大于第四预设值和/或各原始值中不存在正常值,则确定该第二滤波因子等于max(n
2j,i-1-n
2j,i-1/n,1),n为该第四预设值;
若第五预设值与该第一滤波因子的差值的第一绝对值小于或等于该第五预设值与该第二滤波因子的差值的第二绝对值,则确定该n
j,i为该第一滤波因子,若该第一绝对值大于该第二绝对值,则确定该n
j,i为该第二滤波因子。
其中,滤波因子的初始值可为1。
对于b2、将当前记录表中记录的该第一负载门限对应的各KPI参数值,更新为各目标KPI参数值,将当前记录表中记录的该第一负载门限对应的各节能参数值,更新为各目标节能参数值,得到更新后的记录表。
本实施例中,根据在上一负载更新周期内小区的每一个预选负载门限对应的评价值,确定在当前周期内该小区的负载门限,由于评价值能够评价该小区的KPI信息和节能信息,因此,确定在当前周期内该小区的负载门限是综合考虑了该小区的KPI信息和节能信息后确定的,因此,本实施例的方法确定的负载门限可以实现既能保证KPI,又能尽可能的降低基站的能耗的目的。
上面结合图2~图3对本申请的确定负载门限的方法进行了说明。下面结合图4~图5说明确定负载门限的装置。
图4为本申请实施例提供的确定负载门限的装置的结构示意图一,参见图4,本实施例的装置包括:获取模块41和确定模块42。
获取模块41,用于获取小区的多个预选负载门限;
所述获取模块41,还用于获取在第一周期内每一个预选负载门限对应的评价值,每个所述评价值用于评价所述小区的关键业绩指标KPI信息和节能信息;
确定模块42,用于根据各所述评价值,确定所述小区在第二周期内的目标负载门限,所述目标负载门限为所述多个预选负载门限中的负载门限;所述第二周期为所述第一周期的下一周期。
在一种可能的设计中,所述获取模块41,具体用于:
获取小区的最大负载门限和最小负载门限;
根据所述最大负载门限和最小负载门限获取多个预选负载门限,所述多个预选负载门限包括所述最大负载门限和所述最小负载门限。
在一种可能的设计中,所述获取模块41,具体用于:
获取所述小区的多个时间段各自对应的参数值组,一个参数值组包括所述小区的相应时间段对应的至少一个第一参数的值,所述至少一个第一参数中包括负载;
根据所述多个时间段各自对应的参数值组,确定至少一个第一参数和吞吐率的第一关系,以及确定至少一个第一参数和M种KPI的M个第二关系,M为正整数;
根据所述第一关系和所述M个第二关系,确定所述最大负载门限。
在一种可能的设计中,所述获取模块41,具体用于:
确定第一曲线对应的吞吐率的最大值所对应的第一负载;所述第一曲线为所述第一关系对应的曲线;
确定M条第二曲线对应的M种KPI的最大值所对应的M个第二负载;所述M条第二曲线为所述M个第二关系对应的曲线,所述第二曲线和所述第二关系一一对应;
确定所述第一负载和所述M个第二负载中最小值为所述最大负载门限。
在一种可能的设计中,所述装置中存储有用于记录每个预选负载门限对应的各KPI参数值、各节能参数值和评价值的记录表;
所述获取模块41,还用于,在所述获取在第一周期内每一个预选负载门限对应的评价值之前,获取在第三周期内所述小区的负载门限为第一负载门限时所述小区的各目标KPI参数值和各目标节能参数值;所述第一负载门限为所述小区在所述第三周期内的目标负载门限;所述第三周期为所述第一周期的上一周期;以及,
将当前记录表中记录的所述第一负载门限对应的各KPI参数值,更新为各所述目标KPI参数值,将所述当前记录表中记录的所述第一负载门限对应的各节能参数值,更新为各所述目标节能参数值,得到更新后的记录表。
在一种可能的设计中,所述获取模块41,具体用于:
对于一个预选负载门限,根据第一KPI参数值集、第二KPI参数值集、第一节能参数值集和第二节能参数值集,确定在所述第一周期内所述一个预选负载门限对应的评价值;其中,所述第一KPI参数值集为所述更新后的记录表中记录的所述一个预选负载门限对应的KPI参数值的集合,所述第二KPI参数值集为所述更新后的记录表中的最小负载门限对应的KPI参数值的集合,所述第一节能参数值集为所述更新后的记录表中的所述一个预选负载门限对应的节能参数值的集合,所述第二节能参数值集为所述更新后的记录表中的最小负载门限对应的节能参数值的集合。
在一种可能的设计中,所述获取模块41,具体用于:
根据所述第一KPI参数值集和所述第二KPI参数值集,确定所述小区的KPI评价值以及所述小区所在的簇的KPI评价值;
根据所述第一节能参数值集和第二节能参数值集,确定所述小区的节能评价值;
根据所述小区的KPI评价值、所述小区所在的簇的KPI评价值和所述小区的节能评价值,得到在所述第一周期内所述一个预选负载门限对应的评价值。
在一种可能的设计中,所述确定模块42,具体用于:
确定第一预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第一概率,所述第一预选负载门限为各所述评价值中的最大的评价值对应的预选负载门限;
确定第二预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第二概率;所述第二预选负载门限为所述多个预选负载门限中除了所述第一预选负载门限的任一负载门限。
根据所述第一概率和所述第二概率,确定所述小区在所述目标负载门限。
在一种可能的设计中,所述确定模块42,具体用于:
根据所述第二周期的期数和预选负载门限的个数,确定第三概率;
确定1与所述第三概率的差值为所述第一概率。
在一种可能的设计中,所述确定模块,具体用于:
根据所述第三概率和预选负载门限的个数,确定所述第二概率。
在一种可能的设计中,所述获取模块41,具体用于:
对于一种第一类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第一类型的KPI对应的参数,确定所述一种第一类型的KPI对应的所述簇的第一目标KPI评价值;
对于一种第二类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第二类型的KPI对应的参数,确定所述一种第二类型的KPI对应的所述簇的第二目标KPI评价值;
根据各所述第一目标KPI评价值和/或各所述第二目标KPI评价值,得到所述小区所在的簇的KPI评价值。
在一种可能的设计中,所述获取模块,具体用于:
获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第一比值与所述第二比值的第一差值小于或等于0,则确定所述第一目标KPI评价值为第一预设值;若所述第一差值大于0,则确定所述第一目标KPI评价值为第三目标KPI评价值;所述第三目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第一类型的KPI所对应的所述簇的KPI评价值;
或者,
根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第一类型的KPI对应的参数得到第一值;
根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第一类型的KPI对应的参数得到第二值;
若所述第一值与所述第二值的差值除以所述第一值小于或等于第三值,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第三值为第一标准差与第一平均值的比值的预设倍数;所述第一标准差为在所述第一周期之前的预设个数的周期对应的第一值的标准差,所述第一平均值在所述第一周期之前的所述预设个数的周期对应的第一值的平均值;
若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区处于第一小区集合中,则确定所述第一目标KPI评价值为第二预设值;若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区不处于第一小区集合中,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第一小区集合为所述第一差值大于0的所述簇包括的小区中,第一差值按照从大到小的顺序排列后,第一差值位于前W的W个小区的集合。
在一种可能的设计中,所述获取模块41,具体用于:
获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第三比值与所述第四比值的第二差值大于或等于0,则确定所述第二目标KPI评价值为第一预设值;若所述第二差值小于0,则确定所述第二目标KPI评价值为在第四目标KPI评价值,所述第四目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第二类型的KPI所对应的所述簇的KPI评价值;
或者,
根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第二类型的KPI对应的参数得到第四值;
根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第二类型的KPI对应的参数得到第五值;
若所述第四值与所述第五值的第二差值除以第四值大于或等于第六值,则确定在所述第一周期所述第二目标KPI评价值为所述第四目标KPI评价值;所述第六值为第二标准差与第二平均值的比值的预设倍数的相反数;所述第二标准差为在所述第一周期之前的预设个数的周期对应的第四值的标准差,所述第二平均值在所述第一周期之前的所述预设个数的周期对应的第四值的平均值;
若所述第四值与所述第五值的差值除以所述第四值小于第六值且所述小区处于第二小区集合中,则确定所述第二目标KPI评价值为第二预设值;若所述第四值与所述第五值的差值除以第四值小于第六值且所述小区不处于第二小区集合中,则确定所述第二目标KPI评价值为所述第四目标KPI评价值;所述第二小区集合为所述第二差值小于或等于0的所述簇包括的小区中,第二差值的绝对值按照从大到小的顺序排列后,第二差值位于前W的W个小区的集合。
在一种可能的设计中,所述获取模块41,具体用于:
对于一种第一类型的KPI:
获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第一比值与所述第二比值的差值大于所述小区的第一绝对恶化门限,则确定所述第一类型的KPI对应的所述小区的第五目标KPI评价值为第二预设值;若所述第一比值与所述第二比值的差值小于或等于所述第一绝对恶化门限,则确定所述第五目标KPI评价值为第一预设值;所述第一绝对恶化门限为第三标准差乘以第一系数, 所述第三标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第一类型的KPI的标准差;
对于一种第二类型的KPI:
获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;
若所述第三比值与所述第四比值的差值小于所述小区的第二绝对恶化门限,则确定所述一种第二类型的KPI对应的所述小区的第六目标KPI评价值为第二预设值;若所述第三比值减去所述第四比值大于或等于所述第二绝对恶化门限,则确定所述第六目标KPI评价值为第一预设值;所述第二绝对恶化门限为第四标准差与第一系数的乘积的相反数,所述第四标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第二类型的KPI的标准差;
根据各所述第五目标KPI评价值和/或第六目标KPI评价值,得到所述小区的KPI评价值。
在一种可能的设计中,所述获取模块41,还用于,在所述获取在第三周期内当该小区的负载门限为第一负载门限时该小区的各目标KPI参数值之前:
获取在第三周期内当该小区的负载门限为第一负载门限时的各原始KPI和原始节能值;
对于各原始KPI中的一种第一类型的KPI,判断该一种第一类型的KPI对应的第一原始KPI与第三平均值的差值的绝对值是否大于第七值,得到的判断结果为是,即确定该第一原始KPI为正常值,该第三平均值为该第一原始KPI的历史平均值,该第七值等于第二系数乘以第五标准差,该第五标准差为该第三周期之前的第二预设时长内的该小区的多个该一种第一类型的KPI的标准差。可选地,第二系数可为4。
对于各原始KPI中的一种第二类型的KPI,判断该一种第二类型的KPI对应的第二原始KPI与第四平均值的差值的绝对值是否小于第八值,得到的判断结果为是,即确定该第二原始KPI为正常值,该第四平均值为该第二原始KPI的历史平均值;该第八值等于该第二系数与第六标准差的乘积的相反数,该第六标准差为该第三周期之前的该第二预设时长内的该小区的多个该一种第二类型的KPI的标准差。
需要说明的是,本申请实施例的确定负载门限的装置中的各个模块为实现中本申请的确定负载门限的方法所包含的各种执行步骤的功能主体,即具备实现完整实现本申请的确定负载门限的方法中的各个步骤以及这些步骤的扩展及变形的功能主体,具体请参见本文中对确定负载门限的方法的介绍,为简洁起见,本文将不再赘述。
图5为本申请实施例提供的确定负载门限的设备的结构示意图,参见图5,本实施例的设备可以包括处理器51、存储器52和通信总线53。其中,处理器51和存储器52通过通信总线53相连,该存储器52用于存储指令,该处理器51用于执行该存储器存储的指令。编码设备的存储器存储程序代码,且处理器51可以调用存储器52中存储的程序代码执行本申请描述的确定负载门限的方法。为避免重复,这里不再详细描述。
其中,存储指令的存储器还可为确定负载门限的设备外部的存储器。
在本申请实施例中,该处理器51可以是中央处理单元(Central Processing Unit,简称为“CPU”),该处理器51还可以是其他通用处理器、数字信号处理器(DSP)、专用集成电路(ASIC)、现成可编程门阵列(FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
该存储器52可以包括只读存储器(ROM)设备或者随机存取存储器(RAM)设备。任何其他适宜类型的存储设备也可以用作存储器52。存储器52可以包括由处理器51使用通信总线53访问的代码和数据。存储器52可以进一步包括操作***和应用程序。
该通信总线53除包括数据总线之外,还可以包括电源总线、控制总线和状态信号总线等。但是为了清楚说明起见,在图中将各种总线都标为通信总线53。
可选的,确定负载门限的设备还可以包括一个或多个输出设备,诸如显示器。在一个示例中,显示器可以是触感显示器,其将显示器与可操作地感测触摸输入的触感单元合并。显示器可以经由通信总线53连接到处理器51。
本领域技术人员能够领会,结合本文公开描述的各种说明性逻辑框、模块和算法步骤所描述的功能可以硬件、软件、固件或其任何组合来实施。如果以软件来实施,那么各种说明性逻辑框、模块、和步骤描述的功能可作为一或多个指令或代码在计算机可读媒体上存储或传输,且由基于硬件的处理单元执行。计算机可读媒体可包含计算机可读存储媒体,其对应于有形媒体,例如数据存储媒体,或包括任何促进将计算机程序从一处传送到另一处的媒体(例如,根据通信协议)的通信媒体。以此方式,计算机可读媒体大体上可对应于(1)非暂时性的有形计算机可读存储媒体,或(2)通信媒体,例如信号或载波。数据存储媒体可为可由一或多个计算机或一或多个处理器存取以检索用于实施本申请中描述的技术的指令、代码和/或数据结构的任何可用媒体。计算机程序产品可包含计算机可读媒体。
作为实例而非限制,此类计算机可读存储媒体可包括RAM、ROM、EEPROM、CD-ROM或其它光盘存储装置、磁盘存储装置或其它磁性存储装置、快闪存储器或可用来存储指令或数据结构的形式的所要程序代码并且可由计算机存取的任何其它媒体。并且,任何连接被恰当地称作计算机可读媒体。举例来说,如果使用同轴缆线、光纤缆线、双绞线、数字订户线(DSL)或例如红外线、无线电和微波等无线技术从网站、服务器或其它远程源传输指令,那么同轴缆线、光纤缆线、双绞线、DSL或例如红外线、无线电和微波等无线技术包含在媒体的定义中。但是,应理解,所述计算机可读存储媒体和数据存储媒体并不包括连接、载波、信号或其它暂时媒体,而是实际上针对于非暂时性有形存储媒体。如本文中所使用,磁盘和光盘包含压缩光盘(CD)、激光光盘、光学光盘、数字多功能光盘(DVD)和蓝光光盘,其中磁盘通常以磁性方式再现数据,而光盘利用激光以光学方式再现数据。以上各项的组合也应包含在计算机可读媒体的范围内。
可通过例如一或多个数字信号处理器(DSP)、通用微处理器、专用集成电路(ASIC)、现场可编程逻辑阵列(FPGA)或其它等效集成或离散逻辑电路等一或多个处理器来执行指令。因此,如本文中所使用的术语“处理器”可指前述结构或适合于实施本文中所描述的技术的任一其它结构中的任一者。另外,在一些方面中,本文中所描述的各 种说明性逻辑框、模块、和步骤所描述的功能可以提供于经配置以用于编码和解码的专用硬件和/或软件模块内,或者并入在组合编解码器中。而且,所述技术可完全实施于一或多个电路或逻辑元件中。
本申请的技术可在各种各样的装置或设备中实施,包含无线手持机、集成电路(IC)或一组IC(例如,芯片组)。本申请中描述各种组件、模块或单元是为了强调用于执行所揭示的技术的装置的功能方面,但未必需要由不同硬件单元实现。实际上,如上文所描述,各种单元可结合合适的软件和/或固件组合在编码解码器硬件单元中,或者通过互操作硬件单元(包含如上文所描述的一或多个处理器)来提供。
以上所述,仅为本发明的具体实施方式,但本发明的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本发明揭露的技术范围内,可轻易想到变化或替换,都应涵盖在本发明的保护范围之内。因此,本发明的保护范围应以所述权利要求的保护范围为准。
Claims (30)
- 一种确定负载门限的方法,其特征在于,包括:获取小区的多个预选负载门限;获取在第一周期内每一个预选负载门限对应的评价值,每个所述评价值用于评价所述小区的关键业绩指标KPI信息和节能信息;根据各所述评价值,确定所述小区在第二周期内的目标负载门限,所述目标负载门限为所述多个预选负载门限中的负载门限;所述第二周期为所述第一周期的下一周期。
- 根据权利要求1所述的方法,其特征在于,所述获取小区的多个预选负载门限,包括:获取小区的最大负载门限和最小负载门限;根据所述最大负载门限和最小负载门限获取多个预选负载门限,所述多个预选负载门限包括所述最大负载门限和所述最小负载门限。
- 根据权利要求2所述的方法,其特征在于,所述获取最大负载门限,包括:获取所述小区的多个时间段各自对应的参数值组,一个参数值组包括所述小区的相应时间段对应的至少一个第一参数的值,所述至少一个第一参数中包括负载;根据所述多个时间段各自对应的参数值组,确定至少一个第一参数和吞吐率的第一关系,以及确定至少一个第一参数和M种KPI的M个第二关系,M为正整数;根据所述第一关系和所述M个第二关系,确定所述最大负载门限。
- 根据权利要求3所述的方法,其特征在于,根据所述第一关系和所述M个第二关系,确定所述最大负载门限包括:确定第一曲线对应的吞吐率的最大值所对应的第一负载;所述第一曲线为所述第一关系对应的曲线;确定M条第二曲线对应的M种KPI的最大值所对应的M个第二负载;所述M条第二曲线为所述M个第二关系对应的曲线,所述第二曲线和所述第二关系一一对应;确定所述第一负载和所述M个第二负载中最小值为所述最大负载门限。
- 根据权利要求1~4任一项所述的方法,其特征在于,在所述获取在第一周期内每一个预选负载门限对应的评价值之前,还包括:获取在第三周期内所述小区的负载门限为第一负载门限时所述小区的各目标KPI参数值和各目标节能参数值;所述第一负载门限为所述小区在所述第三周期内的目标负载门限;所述第三周期为所述第一周期的上一周期;将当前记录表中记录的所述第一负载门限对应的各KPI参数值,更新为各所述目标KPI参数值,将所述当前记录表中记录的所述第一负载门限对应的各节能参数值,更新为各所述目标节能参数值,得到更新后的记录表;其中,记录表中记录有每个预选负载门限对应的各KPI参数值、各节能参数值和评价值。
- 根据权利要求5所述的方法,其特征在于,所述获取在第一周期内每一个预选负载门限对应的评价值,包括:对于一个预选负载门限,根据第一KPI参数值集、第二KPI参数值集、第一节能 参数值集和第二节能参数值集,确定在所述第一周期内所述一个预选负载门限对应的评价值;其中,所述第一KPI参数值集为所述更新后的记录表中记录的所述一个预选负载门限对应的KPI参数值的集合,所述第二KPI参数值集为所述更新后的记录表中的最小负载门限对应的KPI参数值的集合,所述第一节能参数值集为所述更新后的记录表中的所述一个预选负载门限对应的节能参数值的集合,所述第二节能参数值集为所述更新后的记录表中的最小负载门限对应的节能参数值的集合。
- 根据权利要求6所述的方法,其特征在于,所述根据第一KPI参数值集、第二KPI参数值集、第一节能参数值集和第二节能参数值集,确定在所述第一周期内所述一个预选负载门限对应的评价值,包括:根据所述第一KPI参数值集和所述第二KPI参数值集,确定所述小区的KPI评价值以及所述小区所在的簇的KPI评价值;根据所述第一节能参数值集和第二节能参数值集,确定所述小区的节能评价值;根据所述小区的KPI评价值、所述小区所在的簇的KPI评价值和所述小区的节能评价值,得到在所述第一周期内所述一个预选负载门限对应的评价值。
- 根据权利要求5~7任一所述的方法,其特征在于,所述根据各所述评价值,确定所述小区在所述第二周期内的目标负载门限,包括:确定第一预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第一概率,所述第一预选负载门限为各所述评价值中的最大的评价值对应的预选负载门限;确定第二预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第二概率;所述第二预选负载门限为所述多个预选负载门限中除了所述第一预选负载门限的任一负载门限。根据所述第一概率和所述第二概率,确定所述小区在所述目标负载门限。
- 根据权利要求8所述的方法,其特征在于,所述确定第一预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第一概率,包括:根据所述第二周期的期数和预选负载门限的个数,确定第三概率;确定1与所述第三概率的差值为所述第一概率。
- 根据权利要求9所述的方法,其特征在于,确定第二预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第二概率,包括:根据所述第三概率和预选负载门限的个数,确定所述第二概率。
- 根据权利要求7所述的方法,其特征在于,所述根据所述第一KPI参数值集和所述第二KPI参数值集,确定所述小区所在的簇的KPI评价值,包括:对于一种第一类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第一类型的KPI对应的参数,确定所述一种第一类型的KPI对应的所述簇的第一目标KPI评价值;对于一种第二类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第二类型的KPI对应的参数,确定所述一种第二类型的KPI对应的所述簇的第二目标KPI评价值;根据各所述第一目标KPI评价值和/或各所述第二目标KPI评价值,得到所述小区 所在的簇的KPI评价值。
- 根据权利要求11所述的方法,其特征在于,所述根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第一类型的KPI对应的参数,确定所述一种第一类型的KPI对应的所述簇的第一目标KPI评价值,包括:获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第一比值与所述第二比值的第一差值小于或等于0,则确定所述第一目标KPI评价值为第一预设值;若所述第一差值大于0,则确定所述第一目标KPI评价值为第三目标KPI评价值;所述第三目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第一类型的KPI所对应的所述簇的KPI评价值;或者,根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第一类型的KPI对应的参数得到第一值;根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第一类型的KPI对应的参数得到第二值;若所述第一值与所述第二值的差值除以所述第一值小于或等于第三值,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第三值为第一标准差与第一平均值的比值的预设倍数;所述第一标准差为在所述第一周期之前的预设个数的周期对应的第一值的标准差,所述第一平均值在所述第一周期之前的所述预设个数的周期对应的第一值的平均值;若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区处于第一小区集合中,则确定所述第一目标KPI评价值为第二预设值;若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区不处于第一小区集合中,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第一小区集合为所述第一差值大于0的所述簇包括的小区中,第一差值按照从大到小的顺序排列后,第一差值位于前W的W个小区的集合。
- 根据权利要求11所述的方法,其特征在于,所述根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第二类型的KPI对应的参数,确定所述一种第二类型的KPI对应的所述簇的第二目标KPI评价值,包括:获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第三比值与所述第四比值的第二差值大于或等于0,则确定所述第二目标KPI评价值为第一预设值;若所述第二差值小于0,则确定所述第二目标KPI评价值为在第四目标KPI评价值,所述第四目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第二类型的KPI所对应的所述簇的KPI评价值;或者,根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第二 类型的KPI对应的参数得到第四值;根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第二类型的KPI对应的参数得到第五值;若所述第四值与所述第五值的第二差值除以第四值大于或等于第六值,则确定在所述第一周期所述第二目标KPI评价值为所述第四目标KPI评价值;所述第六值为第二标准差与第二平均值的比值的预设部数的相反数;所述第二标准差为在所述第一周期之前的预设个数的周期对应的第四值的标准差,所述第二平均值在所述第一周期之前的所述预设个数的周期对应的第四值的平均值;若所述第四值与所述第五值的差值除以所述第四值小于第六值且所述小区处于第二小区集合中,则确定所述第二目标KPI评价值为第二预设值;若所述第四值与所述第五值的差值除以第四值小于第六值且所述小区不处于第二小区集合中,则确定所述第二目标KPI评价值为所述第四目标KPI评价值;所述第二小区集合为所述第二差值小于或等于0的所述簇包括的小区中,第二差值的绝对值按照从大到小的顺序排列后,第二差值位于前W的W个小区的集合。
- 根据权利要求7、11~13任一所述的方法,其特征在于,所述根据所述第一KPI参数值集和所述第二KPI参数值集,确定所述小区的KPI评价值,包括:对于一种第一类型的KPI:获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第一比值与所述第二比值的差值大于所述小区的第一绝对恶化门限,则确定所述第一类型的KPI对应的所述小区的第五目标KPI评价值为第二预设值;若所述第一比值与所述第二比值的差值小于或等于所述第一绝对恶化门限,则确定所述第五目标KPI评价值为第一预设值;所述第一绝对恶化门限为第三标准差乘以第一系数,所述第三标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第一类型的KPI的标准差;对于一种第二类型的KPI:获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第三比值与所述第四比值的差值小于所述小区的第二绝对恶化门限,则确定所述一种第二类型的KPI对应的所述小区的第六目标KPI评价值为第二预设值;若所述第三比值减去所述第四比值大于或等于所述第二绝对恶化门限,则确定所述第六目标KPI评价值为第一预设值;所述第二绝对恶化门限为第四标准差与第一系数的乘积的相反数,所述第四标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第二类型的KPI的标准差;根据各所述第五目标KPI评价值和/或第六目标KPI评价值,得到所述小区的KPI评价值。
- 一种确定负载门限的装置,其特征在于,包括:获取模块,用于获取小区的多个预选负载门限;所述获取模块,还用于获取在第一周期内每一个预选负载门限对应的评价值,每个所述评价值用于评价所述小区的关键业绩指标KPI信息和节能信息;确定模块,用于根据各所述评价值,确定所述小区在第二周期内的目标负载门限,所述目标负载门限为所述多个预选负载门限中的负载门限;所述第二周期为所述第一周期的下一周期。
- 根据权利要求15所述的装置,其特征在于,所述获取模块,具体用于:获取小区的最大负载门限和最小负载门限;根据所述最大负载门限和最小负载门限获取多个预选负载门限,所述多个预选负载门限包括所述最大负载门限和所述最小负载门限。
- 根据权利要求16所述的装置,其特征在于,所述获取模块,具体用于:获取所述小区的多个时间段各自对应的参数值组,一个参数值组包括所述小区的相应时间段对应的至少一个第一参数的值,所述至少一个第一参数中包括负载;根据所述多个时间段各自对应的参数值组,确定至少一个第一参数和吞吐率的第一关系,以及确定至少一个第一参数和M种KPI的M个第二关系,M为正整数;根据所述第一关系和所述M个第二关系,确定所述最大负载门限。
- 根据权利要求17所述的装置,其特征在于,所述获取模块,具体用于:确定第一曲线对应的吞吐率的最大值所对应的第一负载;所述第一曲线为所述第一关系对应的曲线;确定M条第二曲线对应的M种KPI的最大值所对应的M个第二负载;所述M条第二曲线为所述M个第二关系对应的曲线,所述第二曲线和所述第二关系一一对应;确定所述第一负载和所述M个第二负载中最小值为所述最大负载门限。
- 根据权利要求15~18任一项所述的装置,其特征在于,所述装置中存储有用于记录每个预选负载门限对应的各KPI参数值、各节能参数值和评价值的记录表;所述获取模块,还用于,在所述获取在第一周期内每一个预选负载门限对应的评价值之前,获取在第三周期内所述小区的负载门限为第一负载门限时所述小区的各目标KPI参数值和各目标节能参数值;所述第一负载门限为所述小区在所述第三周期内的目标负载门限;所述第三周期为所述第一周期的上一周期;以及,将当前记录表中记录的所述第一负载门限对应的各KPI参数值,更新为各所述目标KPI参数值,将所述当前记录表中记录的所述第一负载门限对应的各节能参数值,更新为各所述目标节能参数值,得到更新后的记录表。
- 根据权利要求19所述的装置,其特征在于,所述获取模块,具体用于:对于一个预选负载门限,根据第一KPI参数值集、第二KPI参数值集、第一节能参数值集和第二节能参数值集,确定在所述第一周期内所述一个预选负载门限对应的评价值;其中,所述第一KPI参数值集为所述更新后的记录表中记录的所述一个预选负载门限对应的KPI参数值的集合,所述第二KPI参数值集为所述更新后的记录表中的最小负载门限对应的KPI参数值的集合,所述第一节能参数值集为所述更新后的记录表中的所述一个预选负载门限对应的节能参数值的集合,所述第二节能参数值集为所述更新后的记录表中的最小负载门限对应的节能参数值的集合。
- 根据权利要求20所述的装置,其特征在于,所述获取模块,具体用于:根据所述第一KPI参数值集和所述第二KPI参数值集,确定所述小区的KPI评价值以及所述小区所在的簇的KPI评价值;根据所述第一节能参数值集和第二节能参数值集,确定所述小区的节能评价值;根据所述小区的KPI评价值、所述小区所在的簇的KPI评价值和所述小区的节能评价值,得到在所述第一周期内所述一个预选负载门限对应的评价值。
- 根据权利要求15~21任一所述的装置,其特征在于,所述确定模块,具体用于:确定第一预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第一概率,所述第一预选负载门限为各所述评价值中的最大的评价值对应的预选负载门限;确定第二预选负载门限被确定为所述小区在所述第二周期内的目标负载门限的第二概率;所述第二预选负载门限为所述多个预选负载门限中除了所述第一预选负载门限的任一负载门限。根据所述第一概率和所述第二概率,确定所述小区在所述目标负载门限。
- 根据权利要求22所述的装置,其特征在于,所述确定模块,具体用于:根据所述第二周期的期数和预选负载门限的个数,确定第三概率;确定1与所述第三概率的差值为所述第一概率。
- 根据权利要求23所述的装置,其特征在于,所述确定模块,具体用于:根据所述第三概率和预选负载门限的个数,确定所述第二概率。
- 根据权利要求21所述的装置,其特征在于,所述获取模块,具体用于:对于一种第一类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第一类型的KPI对应的参数,确定所述一种第一类型的KPI对应的所述簇的第一目标KPI评价值;对于一种第二类型的KPI,根据所述第一KPI参数值集和所述第二KPI参数值集中所述一种第二类型的KPI对应的参数,确定所述一种第二类型的KPI对应的所述簇的第二目标KPI评价值;根据各所述第一目标KPI评价值和/或各所述第二目标KPI评价值,得到所述小区所在的簇的KPI评价值。
- 根据权利要求25所述的装置,其特征在于,所述获取模块,具体用于:获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第一比值与所述第二比值的第一差值小于或等于0,则确定所述第一目标KPI评价值为第一预设值;若所述第一差值大于0,则确定所述第一目标KPI评价值为第三目标KPI评价值;所述第三目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第一类型的KPI所对应的所述簇的KPI评价值;或者,根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第一 类型的KPI对应的参数得到第一值;根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第一类型的KPI对应的参数得到第二值;若所述第一值与所述第二值的差值除以所述第一值小于或等于第三值,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第三值为第一标准差与第一平均值的比值的预设倍数;所述第一标准差为在所述第一周期之前的预设个数的周期对应的第一值的标准差,所述第一平均值在所述第一周期之前的所述预设个数的周期对应的第一值的平均值;若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区处于第一小区集合中,则确定所述第一目标KPI评价值为第二预设值;若所述第一值与所述第二值的差值除以所述第一值大于所述第三值且所述小区不处于第一小区集合中,则确定所述第一目标KPI评价值为所述第三目标KPI评价值;所述第一小区集合为所述第一差值大于0的所述簇包括的小区中,第一差值按照从大到小的顺序排列后,第一差值位于前W的W个小区的集合。
- 根据权利要求25所述的装置,其特征在于,所述获取模块,具体用于:获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第三比值与所述第四比值的第二差值大于或等于0,则确定所述第二目标KPI评价值为第一预设值;若所述第二差值小于0,则确定所述第二目标KPI评价值为在第四目标KPI评价值,所述第四目标KPI评价值为在所述第三周期内所述一个预选负载门限对应的所述一种第二类型的KPI所对应的所述簇的KPI评价值;或者,根据所述小区所在的簇包括的所有小区对应的第一KPI参数值集中所述一种第二类型的KPI对应的参数得到第四值;根据所述小区所在的簇包括的所有小区对应的第二KPI参数值集中所述一种第二类型的KPI对应的参数得到第五值;若所述第四值与所述第五值的第二差值除以第四值大于或等于第六值,则确定在所述第一周期所述第二目标KPI评价值为所述第四目标KPI评价值;所述第六值为第二标准差与第二平均值的比值的预设倍数的相反数;所述第二标准差为在所述第一周期之前的预设个数的周期对应的第四值的标准差,所述第二平均值在所述第一周期之前的所述预设个数的周期对应的第四值的平均值;若所述第四值与所述第五值的差值除以所述第四值小于第六值且所述小区处于第二小区集合中,则确定所述第二目标KPI评价值为第二预设值;若所述第四值与所述第五值的差值除以第四值小于第六值且所述小区不处于第二小区集合中,则确定所述第二目标KPI评价值为所述第四目标KPI评价值;所述第二小区集合为所述第二差值小于或等于0的所述簇包括的小区中,第二差值的绝对值按照从大到小的顺序排列后,第二差值位于前W的W个小区的集合。
- 根据权利要求21、25~27任一所述的装置,其特征在于,所述获取模块,具 体用于:对于一种第一类型的KPI:获取第一比值和第二比值,所述第一比值为所述第一KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值,所述第二比值为所述第二KPI参数值集中所述一种第一类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第一比值与所述第二比值的差值大于所述小区的第一绝对恶化门限,则确定所述第一类型的KPI对应的所述小区的第五目标KPI评价值为第二预设值;若所述第一比值与所述第二比值的差值小于或等于所述第一绝对恶化门限,则确定所述第五目标KPI评价值为第一预设值;所述第一绝对恶化门限为第三标准差乘以第一系数,所述第三标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第一类型的KPI的标准差;对于一种第二类型的KPI:获取第三比值和第四比值,所述第三比值为所述第一KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值,所述第四比值为所述第二KPI参数值集中所述一种第二类型的KPI对应的分子滤波值与分母滤波值的比值;若所述第三比值与所述第四比值的差值小于所述小区的第二绝对恶化门限,则确定所述一种第二类型的KPI对应的所述小区的第六目标KPI评价值为第二预设值;若所述第三比值减去所述第四比值大于或等于所述第二绝对恶化门限,则确定所述第六目标KPI评价值为第一预设值;所述第二绝对恶化门限为第四标准差与第一系数的乘积的相反数,所述第四标准差为所述第一周期之前的第一预设时长内的所述小区的多个所述一种第二类型的KPI的标准差;根据各所述第五目标KPI评价值和/或第六目标KPI评价值,得到所述小区的KPI评价值。
- 一种确定负载门限的设备,其特征在于,包括处理器;所述处理器用于与存储器耦合,读取并执行所述存储器中的指令,以实现如权1-14任一所述的方法。
- 一种计算机存储介质,包括指令,其特征在于,当所述指令在确定负载门限的装置上运行时,使得所述确定负载门限的装置执行如权1-14任一所述的方法。
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