CN109561454B - Network optimization method and device - Google Patents
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- CN109561454B CN109561454B CN201811425101.8A CN201811425101A CN109561454B CN 109561454 B CN109561454 B CN 109561454B CN 201811425101 A CN201811425101 A CN 201811425101A CN 109561454 B CN109561454 B CN 109561454B
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Abstract
The embodiment of the invention provides a network optimization method and device. The method comprises the following steps: acquiring performance data of a main service cell and adjacent cells of the main service cell, and acquiring alarm data of a base station where each problem cell is located if the problem cell exists in the adjacent cells of the main service cell and the main service cell according to the judgment and the learning of the performance data of the main service cell and the adjacent cells of the main service cell; and for each problem cell, if judging that the first type of hardware alarm exists according to the alarm data of the base station where the problem cell is located, outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm. The network optimization method and the network optimization device provided by the embodiment of the invention can automatically analyze the reasons for the occurrence of the perception problems and give optimization suggestions, can be more widely applied to various communication networks needing to be optimized, and have the advantages of higher automation degree, higher efficiency and better timeliness.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a network optimization method and device.
Background
The perception problem refers to a problem existing in an LTE network and causing poor user perception. When the LTE network has the perception problem, the user perception is poor.
When there is a perception problem, network optimization needs to be performed for the existing perception problem to improve user perception and eliminate or alleviate the perception problem. Before network optimization is carried out, intelligent diagnosis needs to be carried out on abnormal problems existing in the network, and reasons causing perception problems are determined, so that targeted optimization is carried out.
In the existing network optimization method for perception problems, after a worker collects test data of a network, an expert comprehensively analyzes the collected test data, and causes and corresponding network optimization suggestions for the perception problems are provided. Therefore, the prior art has the defects of low automation degree, low efficiency, poor timeliness and the like.
Disclosure of Invention
In view of the problems in the prior art, embodiments of the present invention provide a network optimization method and apparatus that overcome the above problems or at least partially solve the above problems.
According to a first aspect of the present invention, an embodiment of the present invention provides a network optimization method, including:
acquiring performance data of a main service cell and adjacent cells of the main service cell, and acquiring alarm data of a base station where each problem cell is located if the problem cell exists in the adjacent cells of the main service cell and the main service cell according to the judgment and the learning of the performance data of the main service cell and the adjacent cells of the main service cell;
and for each problem cell, if judging that the first type of hardware alarm exists according to the alarm data of the base station where the problem cell is located, outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm.
According to a second aspect of the present invention, an embodiment of the present invention provides a network optimization apparatus, including:
a data acquisition module, configured to acquire performance data of a main serving cell and neighboring cells of the main serving cell, and if it is determined according to the performance data of the main serving cell and the neighboring cells of the main serving cell that a problem cell exists in the neighboring cells of the main serving cell and the main serving cell, acquire alarm data of a base station where each problem cell is located;
and the data analysis module is used for judging whether a first type of hardware alarm exists according to the alarm data of the base station where the problem cell is located for each problem cell, and outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm.
According to a third aspect of the present invention, an embodiment of the present invention provides an electronic apparatus, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor to invoke a method of network optimization as provided by any of the various possible implementations of the first aspect.
According to a fourth aspect of the present invention, embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform a method of network optimization as provided in any one of the various possible implementations of the first aspect.
The network optimization method and the network optimization device provided by the embodiment of the invention can determine the problem cell according to the performance data, output the corresponding alarm processing suggestion according to the first class hardware alarm existing in the problem cell, automatically analyze the reasons generated by the perception problem and give the optimization suggestion, can be widely applied to each communication network needing to be optimized, and have the advantages of higher automation degree, higher efficiency and better timeliness.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a network optimization method according to an embodiment of the present invention;
fig. 2 is a functional block diagram of a network optimization device according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The embodiments of the present invention, and all other embodiments obtained by a person of ordinary skill in the art without any inventive step, are within the scope of the present invention.
In order to overcome the above problems in the prior art, an embodiment of the present invention provides a network optimization method, and the inventive concept is to automatically analyze the cause of the sensing problem and a corresponding network optimization suggestion according to various collected data of a main serving cell and a neighboring cell of the main serving cell.
Fig. 1 is a schematic flow chart of a network optimization method according to an embodiment of the present invention. As shown in fig. 1, a network optimization method includes: step S101, acquiring performance data of a main service cell and adjacent cells of the main service cell, and acquiring alarm data of a base station where each problem cell is located if the problem cells exist in the adjacent cells of the main service cell and the main service cell according to the judgment of the performance data of the main service cell and the adjacent cells of the main service cell.
Specifically, performance data of a main serving cell and a neighboring cell of the main serving cell acquired through drive test is acquired.
Drive tests (DRIVER TEST, DT for short), also commonly called drive tests. Is one way for communication network operators to know the quality of the communication network. The test is performed by using a special test device in order to grasp the conditions of network signal quality, level, coverage, and the like. The performance of the wireless network is measured by driving the vehicle to carry wireless test equipment to run along a certain road. The method comprises the steps of simulating an actual user in the DT, continuously dialing a voice call by using a mobile terminal (generally a special test mobile phone), continuously uploading or downloading files with different sizes, acquiring some indexes of network performance through signaling acquisition and statistical analysis of test software, finding out problems in the network and providing data support for optimization.
Through the drive test, performance data of a main Serving Cell (Serving Cell, abbreviated as Sc) and a neighbor Cell (neighbor Cell, abbreviated as Nc) of the main Serving Cell can be obtained. The performance data of the main serving cell and the neighboring cells of the main serving cell refer to the performance data of the main serving cell and the performance data of each neighboring cell of the main serving cell.
The performance data may include: user plane PDCP (Packet Data Convergence Protocol) layer uplink/downlink average flow, maximum activated user number, user plane downlink average delay, air interface uplink/downlink Packet loss rate, RRC (Radio Resource Control) establishment success rate, PRB occupancy, activated user number, QCI (QoS Class Identifier) level downlink rate, 4G down-cut ratio, drop rate, RSSI (Received Signal Strength Indication), and the like.
According to the performance data, the uplink/downlink rate of the PDCP layer, the uplink/downlink rate of the physical layer and the block error rate of an uplink/downlink channel of each adjacent cell of the main service cell and the main service cell can be obtained.
Problem cells, refer to cells in which there are abnormal events that may cause perception-like problems.
For each cell in the main serving cell and the neighboring cells of the main serving cell, the performance index of the cell may be analyzed to determine whether the cell is a problem cell by the following steps:
judging whether the cell meets any one of first judgment conditions;
if yes, determining the cell as a problem cell;
if not, judging whether the cell meets any one of second judgment conditions; if yes, determining the cell as a problem cell; if not, the cell is not a problem cell.
The first and second determination conditions may reflect the presence of a perception-like problem.
The first determination condition may include: the proportion that the downlink rate of the PDCP layer is lower than a preset first rate threshold is larger than a preset first proportion threshold, the downlink flow (DL Volume) of the PDCP layer is larger than a preset flow threshold, the proportion that the downlink rate of the physical layer is lower than a preset second rate threshold is larger than a preset second proportion threshold, and the block error rate (PDSCH BLER) of the physical downlink shared channel is larger than a preset first block error rate threshold; the method respectively corresponds to three perception problems of low LTE continuous downlink PDCP layer rate, low LTE continuous downlink physical layer rate, high LTE continuous downlink block error rate and the like.
The second determination condition may include: the proportion that the uplink rate of the PDCP layer is smaller than a preset third rate threshold is larger than a preset third proportion threshold, the proportion that the uplink rate of the physical layer is smaller than a preset fourth rate threshold is larger than a preset fourth proportion threshold, and the block error rate (PUSCH BLER) of the physical uplink shared channel is larger than a preset second block error rate threshold; the method respectively corresponds to three perception problems of low LTE continuous uplink PDCP layer rate, low LTE continuous uplink physical layer rate, high LTE continuous uplink block error rate and the like.
Wherein, the PDSCH is an abbreviation of Physical Downlink Shared Channel (Physical Downlink Shared Channel); the PUSCH is an abbreviation of Physical Uplink Shared Channel (Physical Uplink Shared Channel); BLER is an abbreviation for Block Error rate (Block Error Ratio) and represents the Ratio of the number of received blocks with errors to the total number of received blocks; DL denotes downlink (downlink).
It should be noted that the first rate threshold is greater than the third rate threshold, and the second rate threshold is greater than the fourth rate threshold; the first rate threshold may or may not be equal to the second rate threshold, and the third rate threshold may or may not be equal to the fourth rate threshold; any two of the first proportion threshold, the second proportion threshold, the third proportion threshold and the fourth proportion threshold may be equal or unequal; the first and second block error rate thresholds may be equal or unequal.
For example, the first rate threshold and the second rate threshold may both be 10Mbps, the third rate threshold and the fourth rate threshold may both be 2Mbps, the traffic threshold may be 100M, and the first proportion threshold, the second proportion threshold, the third proportion threshold, and the fourth proportion threshold may all be 20%; the first and second block error rate thresholds may both be 10%.
Through the steps, the problem cell in the main service cell and each adjacent cell of the main service cell can be determined. And after the problem cells are determined, acquiring alarm data of the base station where each problem cell is located.
And S102, for each problem cell, if judging that the first type of hardware alarm exists according to the alarm data of the base station where the problem cell is located, outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm.
It can be understood that, for a more serious abnormal event, the base station where the cell is located may issue a hardware alarm. Therefore, alarm analysis can be carried out according to the hardware alarm of the base station so as to determine the reason causing the perception problem.
Specifically, for each problem cell, the alarm data of the base station where the problem cell is located is analyzed, and whether a first type of hardware alarm exists in the alarm data of the base station where the problem cell is located is judged. If any one of the first type of hardware alarms exists, the first type of hardware alarms exists; if each alarm in the first type of hardware alarm does not exist, the first type of hardware alarm does not exist.
The first type of hardware alarm is an emergency or important hardware alarm.
For the problem cell determined according to the first judgment condition, the first type of hardware alarm may include: at least one of a radio frequency unit standing wave alarm, a cell service capability reduction alarm, a network element connection interruption alarm, a radio frequency unit optical module out-of-place alarm and a radio frequency unit electrical interface out-of-place alarm.
For problem cells determined from the second fault condition, the first type of hardware alarm may include: at least one of a radio frequency unit standing wave alarm and a cell service capability degradation alarm.
It can be understood that, when the first type of hardware alarm exists as a result of the determination, one or more specific first type of hardware alarms exist, and therefore, an alarm processing suggestion corresponding to each existing first type of hardware alarm may be output according to the existing first type of hardware alarm. The corresponding alarm processing suggestion refers to the alarm processing suggestion corresponding to each existing first-class hardware alarm.
It should be noted that the existing hardware alarm of the first type may also be output together with the alarm processing suggestion as the cause of the problem of the perception type.
It will be appreciated that optimization of the network can be achieved in accordance with the alarm handling recommendations.
The embodiment of the invention determines the problem cell through the performance data, outputs the corresponding alarm processing suggestion according to the first class hardware alarm existing in the problem cell, can automatically analyze the reasons generated by the perception class problems and give the optimization suggestion, can be more widely applied to each communication network needing to be optimized, and has higher automation degree, higher efficiency and better timeliness.
Based on the content of the above embodiment, after acquiring the alarm data of the base station where each problem cell is located, the method further includes: if the main service cell is a problem cell and the first class hardware alarm does not exist according to the alarm data of the base station where the main service cell is located, judging whether the main service cell has a resource load problem according to the performance data of the main service cell; if the resource load problem exists, outputting a corresponding parameter modification suggestion or channel expansion suggestion according to the existing resource load problem.
Specifically, if the main serving cell is a problem cell, it is determined that the first type of hardware alarm does not exist according to alarm data of a base station where the main serving cell is located, and it is determined whether the main serving cell has a resource load problem.
It should be noted that, if the main serving cell is determined as a problem cell because the main serving cell meets the second determination condition, before determining whether the main serving cell has a resource load problem, the interference noise of the main serving cell is analyzed according to the performance data of the main serving cell, and if the interference noise of the main serving cell meets the preset third determination condition, a corresponding external interference troubleshooting proposal is output, or the external interference is used as a cause of a perception problem and is output together with the external interference troubleshooting proposal; and if the preset third judgment condition is not met, judging whether the main service cell has the resource load problem or not.
The third determination condition may be that an average value of the interference noise detected by each uplink PRB is greater than a preset noise threshold. For example, the predetermined noise threshold may be-105 decibel-milliwatts (dBm).
Whether the main service cell has the resource load problem can be determined by analyzing the performance data of the main service cell.
The performance data can obtain the uplink/downlink PRB resource utilization rate, the PDCCH resource utilization rate, the PUCCH resource utilization rate, the PRACH resource utilization rate and the like of the main serving cell.
Wherein, the PDCCH is an abbreviation of a Physical Downlink Control Channel (Physical Downlink Control Channel); the PUCCH is an abbreviation of Physical Uplink Control Channel (Physical Uplink Control Channel); the PRACH is an abbreviation of Physical Random Access Channel (Physical Random Access Channel).
Whether the main service cell has the resource load problem can be judged by judging whether the main service cell meets the fourth judgment condition. If any one of the fourth judgment conditions is met, the resource load problem exists; if each of the fourth determination conditions is not satisfied, the resource load problem does not exist.
And if the main service cell is determined to be the problem cell because the first judgment condition is met, judging whether the main service cell has the resource load problem or not from the perspective of downlink resource load. Accordingly, the fourth determination condition may include: the utilization rate of the downlink PRB resource is greater than a preset first utilization rate threshold value, and the utilization rate of the PDCCH resource is greater than a preset second utilization rate threshold value.
The PDCCH resource utilization includes PDCCH CCE resource utilization. The CCE is an abbreviation of a Control Channel Element (Control Channel Element) and is a time-frequency resource unit of TD-LTE.
For example, the first utilization threshold may be 50% and the second utilization threshold may be 60%.
And if the main service cell is determined to be the problem cell because the second judgment condition is met, judging whether the main service cell has the resource load problem or not from the perspective of uplink resource load. Accordingly, the fourth determination condition may include: the uplink PRB resource utilization rate is greater than a preset third utilization rate threshold, the PUCCH resource utilization rate is greater than a preset fourth utilization rate threshold, and the PRACH resource utilization rate is greater than a preset fifth utilization rate threshold.
The PUCCH resource utilization includes PUCCH CCE resource utilization.
For example, the third utilization threshold may be 50% and the fourth utilization threshold may be 60%.
The main serving cell has a resource load problem, which indicates that the occupied proportion of the PRB and/or the channel is high, and network optimization needs to be performed by modifying the parameters of the main serving cell or expanding the capacity of the channel.
It can be understood that there may be one or more resource load problems, and therefore, an alarm processing suggestion or a channel expansion suggestion corresponding to each existing resource load problem may be output according to the existing resource load problems. The corresponding parameter modification suggestion or channel expansion suggestion refers to an alarm processing suggestion or channel expansion suggestion corresponding to each existing resource load problem.
It should be noted that the existing resource load problem may also be used as a cause of the sensing problem, and output together with the corresponding parameter modification suggestion or channel expansion suggestion.
According to the embodiment of the invention, the corresponding parameter modification suggestion or channel expansion suggestion is output according to the resource load problem existing in the main service cell, the reason for the perception problem can be automatically analyzed, the optimization suggestion is given, the method and the device can be more widely applied to each communication network needing to be optimized, and the method and the device have the advantages of higher automation degree, higher efficiency and better timeliness.
Based on the content of the foregoing embodiment, after determining whether the primary serving cell has the resource load problem according to the performance data of the primary serving cell, the method further includes: if the resource load problem does not exist, acquiring configuration data of the main service cell, and judging whether the main service cell has a neighboring cell configuration problem or not according to the configuration data; and if the adjacent cell configuration problem exists, outputting a corresponding adjacent cell configuration modification suggestion according to the existing adjacent cell configuration problem.
Specifically, if it is determined that the resource load problem does not exist in the primary serving cell, it is determined whether the neighboring cell configuration problem exists in the primary serving cell.
And acquiring configuration data of the main service cell before judging whether the main service cell has the problem of adjacent cell configuration. The problem of neighbor cell configuration refers to whether the neighbor cell has the problems of missing configuration, mismatching, redundancy and the like for the main serving cell.
And acquiring a switching proportion according to the configuration data, and judging whether the main service cell has a neighboring cell configuration problem or not according to the switching proportion.
For each adjacent cell, the switching proportion of the adjacent cell refers to the ratio of the successful times of switching from the main service cell to the adjacent cell to the total times of switching requests from the main service cell to all adjacent cells.
For each adjacent cell, if the switching proportion of the adjacent cell is greater than a preset first switching proportion threshold value and the distance between the adjacent cell and a main service cell is less than a preset first distance threshold value, determining the adjacent cell as a missed neighbor cell; if the switching proportion of the adjacent cell is smaller than a preset second switching proportion threshold (not equal to 0) and the distance between the adjacent cell and the main service cell is larger than a preset first distance threshold, determining the adjacent cell as a redundant adjacent cell; and if the switching proportion of the adjacent cell is 0 and the distance between the adjacent cell and the main service cell is greater than a preset first distance threshold value, determining the adjacent cell as a mismatching adjacent cell. Wherein the first switching ratio threshold is greater than the second switching ratio threshold.
For example, the first and second switching ratio thresholds may be 1% and 0.1%, respectively, and the first distance threshold may be 5 km.
If judging and knowing that the adjacent cell of the main service cell has the missing adjacent cell, the mismatching adjacent cell or the redundant adjacent cell, the main service cell has the problem of adjacent cell configuration; and if judging that the missed neighbor cell, the mismatched neighbor cell and the redundant neighbor cell do not exist in the neighbor cells of the main service cell, the main service cell does not have the problem of neighbor cell configuration.
And if the main service cell has the neighbor cell configuration problem, outputting a corresponding neighbor cell configuration modification suggestion according to the existing neighbor cell configuration problem.
It should be noted that the existing neighbor cell configuration problem may also be used as a cause of the sensing problem, and output together with the neighbor cell configuration modification suggestion.
For example, for the main serving cell a, if there is a mismatched neighboring cell B, the corresponding neighboring cell configuration modification suggestion is to delete B from the neighboring cell configuration of the main serving cell a; and if the neighbor cell C is missed, the corresponding neighbor cell configuration modification suggestion is that the C is added into the neighbor cell configuration of the slave main service cell A.
The embodiment of the invention outputs the corresponding neighbor cell configuration modification suggestion according to the neighbor cell configuration problem existing in the main service cell, can automatically analyze the reason caused by the perception problem and give the optimization suggestion, can be more widely applied to each communication network needing to be optimized, and has higher automation degree, higher efficiency and better timeliness.
Based on the content of the foregoing embodiment, after determining whether the neighboring cell configuration problem exists in the primary serving cell according to the configuration data, the method further includes: if the adjacent cell configuration problem does not exist, acquiring physical cell identification data of the main service cell and the adjacent cell of the main service cell, and judging whether the main service cell has an interference problem or not according to the physical cell identification; if the interference problem exists, outputting a corresponding physical cell identifier modification suggestion according to the existing interference problem; if the interference problem does not exist, acquiring parameters of the main service cell, and judging whether the main service cell has a first type of parameter setting problem or not according to the parameters of the main service cell; if the first type of parameter setting problem exists, outputting a corresponding parameter modification suggestion according to the existing first type of parameter setting problem.
Specifically, if the main serving cell does not have the neighboring cell configuration problem, whether the main serving cell has the interference problem is judged; and if the interference problem does not exist, continuously judging whether the primary service cell has the first type parameter setting problem or not.
Before judging whether the main service Cell has the interference problem, Physical Cell Identity (PCI) data of the main service Cell and a neighboring Cell of the main service Cell are obtained.
Interference problems including PCI collision, PCI mod 3 interference, PCI mod 6 interference, and PCI mod 30 interference. If any one of the interference problems exists in the main service cell, the interference problem exists; each of the plurality of interference problems is absent, then there is no interference problem.
And if the main service cell has the interference problem, outputting a corresponding PCI modification suggestion according to the existing interference problem.
It should be noted that the existing interference problem may also be output together with the PCI modification suggestion as a cause of the perception-based problem.
The interference problem may further include that a sampling point proportion, according to the received interference power LteScRIP of the primary serving cell being greater than or equal to the preset interference power threshold, is greater than a preset interference sampling proportion threshold. Wherein RIP is an abbreviation of Received Interference Power.
For example, the interference power threshold may be-100 db mw and the interference sampling ratio threshold may be 60%.
And acquiring parameters of the main service cell before judging whether the first type of parameter setting problem exists in the main service cell.
The parameters of the primary serving cell include parameters of a first type. The first type of parameters comprises at least one of handover parameters, admission control parameters and load control parameters. For example, the parameters of the primary serving cell may be hysteresis, cell independent OFFSET (CELL INDIVIDAL OFFSET, CIO for short). And after the parameters of the main service cell are obtained, judging whether the first type of parameters accord with the set recommended values. If any first type parameter is not accordant, the first type parameter setting problem exists; and if each first type parameter is in accordance with the first type parameter, the first type parameter setting problem does not exist.
And if the primary service cell has the first type of parameter setting problem, outputting a corresponding parameter modification suggestion. The corresponding parameter modification advice is advice for modifying the parameter that does not conform to the setting advice value to conform to the setting advice value.
It should be noted that the existing first-class parameter setting problem may also be output together with the parameter modification suggestion as the cause of the perception-class problem.
The embodiment of the invention outputs the corresponding physical cell identification modification suggestion according to the interference problem existing in the main service cell, outputs the corresponding parameter modification suggestion according to the first type of parameter setting problem existing in the main service cell, can automatically analyze the reason of the perception problem and give the optimization suggestion, can be more widely applied to each communication network needing to be optimized, and has higher automation degree, higher efficiency and better timeliness.
Based on the content of the above embodiment, after determining whether the primary serving cell has the first type of parameter setting problem according to the parameter of the primary serving cell, the method further includes: if the first type parameter setting problem does not exist, a measurement report of the main service cell is obtained, and whether the first type signal coverage problem exists in the main service cell or not is judged according to the measurement report; if the first type of signal coverage problem exists, judging whether a second type of hardware alarm exists in the base station of the main service cell according to alarm data of the base station of the main service cell; and if the second type of hardware alarm exists, outputting a corresponding alarm processing suggestion according to the existing second type of hardware alarm.
Specifically, if the primary serving cell does not have the first-class parameter setting problem, it is determined whether the primary serving cell has the first-class signal coverage problem.
And acquiring a measurement report of the main service cell before judging whether the main service cell has the first-class signal coverage problem. The measurement report of the primary serving cell refers to a measurement report in which the serving cell in the measurement report is the primary serving cell.
Whether the first type signal coverage problem exists can be judged according to the reference signal received power LteScRSRP of the main service cell in the measurement report. Wherein, RSRP is an abbreviation of Reference Signal Receiving Power.
For example, a first type of signal coverage problem exists if one of the following conditions is met:
the proportion of sampling points of LteScRSRP < -110dBm and CQI < 9 > is more than 20%, the average RSRP < -110dBm of continuous 100 meters MR grid and CQI < 9, the proportion of sampling points of LteScRSRP < -100dBm is more than 20%, the proportion of sampling points of LteScRSRP < -100dBm of continuous 100 meters MR grid is more than 20%, the proportion of sampling points of LteScRSRP < -110dBm of continuous 100 meters MR grid is more than 20%, the proportion of sampling points of LteScRSRP < -120dBm of continuous 100 meters MR grid is more than 20%, and the average RSRP < -120dBm of continuous 100 meters MR grid.
If the primary service cell has the first type of signal coverage problem, judging whether the base station of the primary service cell has the second type of hardware alarm according to the alarm data of the base station of the primary service cell.
The second type of hardware alarm is an emergency or important hardware alarm.
The second type of hardware alarms may include: at least one of a radio frequency unit standing wave alarm, a network element connection interruption alarm, a radio frequency unit optical module out-of-place alarm and a radio frequency unit electrical interface out-of-place alarm.
It can be understood that, when the second type of hardware alarm exists as a result of the determination, one or more specific first type of hardware alarms may exist, and therefore, alarm processing suggestions corresponding to the second type of hardware alarms may be output according to the existing first type of hardware alarms. The corresponding alarm processing suggestions refer to the alarm processing suggestions corresponding to the second type of hardware alarms.
It should be noted that the existing second type hardware alarm may also be output together with the alarm processing suggestion as the cause of the perception type problem.
When the first-class signal coverage problem exists in the main service cell, the embodiment of the invention outputs the corresponding alarm processing suggestion according to the second-class hardware alarm existing in the main service cell, can automatically analyze the reasons caused by the perception problem and give the optimization suggestion, can be more widely applied to each communication network needing to be optimized, and has higher automation degree, higher efficiency and better timeliness.
Based on the content of the foregoing embodiment, after determining whether the base station where the primary serving cell is located has the second type of hardware alarm, the method further includes: if the second type of hardware alarm does not exist, judging whether the main service cell has the second type of parameter setting problem according to the parameters of the main service cell; if the second type of parameter setting problem exists, outputting a corresponding parameter modification suggestion according to the second type of parameter setting problem; if the second type of parameter setting problem does not exist, judging whether the main service cell has the second type of signal coverage problem according to the measurement report; if the second-class signal coverage problem exists, acquiring working parameters of the main service cell and a base station where the main service cell is located, and judging whether the third-class parameter setting problem exists in the main service cell and the base station where the main service cell is located according to the working parameters; and if the third type of parameter setting problem exists, outputting a corresponding parameter modification suggestion according to the existing third type of parameter setting problem.
Specifically, the parameters of the primary serving cell further include a second type of parameters. The second type of parameters includes at least one of Reference Signal (RS) transmit power, switching parameters, and minimum receive level modulation.
And after the parameters of the main service cell are obtained, judging whether the second type of parameters accord with the set recommended value. If any second type parameter is not met, the second type parameter setting problem exists; and if each second type parameter is in accordance with the first type parameter, the problem of setting the second type parameter does not exist.
And if the main service cell has the second type of parameter setting problem, outputting a corresponding parameter modification suggestion. The corresponding parameter modification advice is advice for modifying the parameter that does not conform to the setting advice value to conform to the setting advice value.
It should be noted that the existing second kind of parameter setting problem may also be output together with the parameter modification suggestion as the cause of the perception type problem.
And if the main service cell has no second type parameter setting problem, judging whether the main service cell has a second type signal coverage problem according to the measurement report.
The second category of signal coverage problems refers to weak coverage, over-coverage and pilot pollution.
The judgment condition of the pilot pollution is that the reference signal received power LtescRSRP of the main serving cell and the reference signal received power LtescRSRP of the adjacent cell are both greater than a preset first power threshold, and the proportion of sampling points including the condition that the number of the PCIs of the main serving cell is greater than a preset number threshold is greater than a preset first sampling proportion threshold. An accessory condition for pilot pollution judgment can be added, including the number of PCIs of the primary serving cell, which means that the difference between the PCI number and LteScRSRP is smaller than a preset difference threshold. For example, the difference threshold may be 6 dB.
The judgment condition of the over-coverage is that the LteScRSRP is larger than a preset second power threshold, and the proportion of sampling points of which the Time Advance (TA) is larger than the average inter-station distance is larger than a preset second sampling proportion threshold.
And the judgment condition of the weak coverage is that the LteScRSRP is smaller than a preset third power threshold, and the proportion of sampling points of which the time advance is smaller than a preset second distance threshold is larger than a preset third sampling proportion threshold.
For example, the first power threshold may be-105 dBm, the first sample fraction threshold may be 10%, the quantity threshold may be 3, the second power threshold may be-100 dBm, the second sample fraction threshold may be 60%, the third power threshold may be-120 dBm, the second distance threshold may be 300 meters, and the third sample fraction threshold may be 20%.
If the second type of signal coverage problem does not exist, whether the same-frequency switching success rate is larger than a preset success rate threshold value or not can be judged. And if so, analyzing whether the antenna of the main service cell is reversely connected. And determining whether the antenna is reversely connected or not by judging whether the proportion of the sampling points on the back of the cell is greater than a preset back proportion threshold value or not. If so, indicating that the connection is reversed, and outputting an antenna adjustment suggestion. For example, the backside percentage threshold may be 80%.
And if the second type of signal coverage problem exists, acquiring working parameters of the main service cell and a base station where the main service cell is located.
The third kind of parameter setting problem refers to the unreasonable height, electrical tilt angle and mechanical tilt angle of the base station.
If the pilot pollution exists, whether the height of the base station where the main service cell is located is larger than a preset first height threshold value is judged. For example, the first height threshold may be 60 meters. If the parameter is larger than the preset parameter, the third kind of parameter setting problem exists, and the corresponding parameter modification proposal is a proposal for reducing the height of the base station or a proposal for reducing the signal transmission power of the base station. And if the first circle of adjacent cells of the main service cell and the main service cell are smaller than the preset threshold, judging whether the electrical inclination angle and the mechanical inclination angle of the main service cell and the first circle of adjacent cells of the main service cell are set reasonably. If any one of the parameters is unreasonable, a third type of parameter setting problem exists, and the corresponding parameter modification suggestion is a suggestion for adjusting the antenna feeder.
And if the coverage exists, judging whether the height of the base station where the main service cell is located is greater than a preset second height threshold value. For example, the second height threshold may be 60 meters. If the parameter is larger than the preset parameter, the third kind of parameter setting problem exists, and the corresponding parameter modification proposal is a proposal for reducing the height of the base station or a proposal for reducing the signal transmission power of the base station. And if the current inclination angle is smaller than the preset inclination angle, judging whether the electrical inclination angle and the mechanical inclination angle of the main service are set reasonably. If the parameter is not reasonable, a third type of parameter setting problem exists, and the corresponding parameter modification suggestion is a suggestion for adjusting the antenna feeder.
And if the weak coverage exists, judging whether the electrical inclination angle and the mechanical inclination angle of the main service are too large. If yes, a third type of parameter setting problem exists, and the corresponding parameter modification suggestion is the suggestion of the antenna inclination angle uplifting. If not, judging whether the height of the base station where the main service cell is located is smaller than a preset third height threshold value. For example, the second height threshold may be 10 meters. If the parameter is smaller than the preset value, a third parameter setting problem exists, and the corresponding parameter modification suggestion is a suggestion for performing Remote operation by a Radio Remote Unit (RRU) or a suggestion for increasing the height of the base station.
According to the embodiment of the invention, the corresponding parameter modification suggestion is output according to the second type of parameter setting problem existing in the main service cell, and the corresponding parameter modification suggestion is output according to the third type of parameter setting problem existing in the main service cell, so that the reason for the perception type of problem generation can be automatically analyzed and the optimization suggestion can be given, the method and the device can be more widely applied to each communication network needing to be optimized, and the method and the device have the advantages of higher automation degree, higher efficiency and better timeliness. Furthermore, according to the reasons generated by analyzing the perception problems of the performance data, the work parameter data (working parameters), the MR (measurement package) data and the alarm data, the problem reasons are automatically output in a one-click mode, optimization suggestions are given, the analysis thought of experts can be simulated, excellent network optimization experience can be verified and solidified, and the overall autonomous optimization level is improved.
Based on the content of the foregoing embodiment, after determining whether the primary serving cell has the coverage problem of the first type of signal according to the measurement report, the method further includes: if the first type signal coverage problem does not exist, judging whether the main service cell has a second type signal coverage problem according to the measurement report; if the second-class signal coverage problem exists, acquiring working parameters, and judging whether a third-class parameter setting problem exists in the main service cell and a base station where the main service cell is located according to the working parameters; and if the third type of parameter setting problem exists, outputting a corresponding parameter modification suggestion according to the existing third type of parameter setting problem.
Specifically, if there is no first-type signal coverage problem, it is directly determined whether there is a second-type signal coverage problem. The specific process of determining whether the second-type signal coverage problem exists and the process after determining whether the second-type signal coverage problem exists are detailed in the above embodiments, and will not be described herein again.
According to the embodiment of the invention, the corresponding parameter modification suggestions are output according to the third type of parameter setting problems existing in the main service cell, the reasons for the perception type problems can be automatically analyzed, the optimization suggestions are given, the method and the device can be more widely applied to various communication networks needing to be optimized, and the method and the device have the advantages of higher automation degree, higher efficiency and better timeliness.
Fig. 2 is a functional block diagram of a network optimization device according to an embodiment of the present invention. Based on the content of the foregoing embodiment, as shown in fig. 2, a network optimization apparatus includes a data acquisition module 201 and a data analysis module 202, wherein:
a data obtaining module 201, configured to obtain performance data of a main serving cell and neighboring cells of the main serving cell, and if it is determined according to the performance data of the main serving cell and the neighboring cells of the main serving cell that a problem cell exists in the main serving cell and the neighboring cells of the main serving cell, obtain alarm data of a base station where each problem cell is located;
and the data analysis module 202 is configured to, for each problem cell, if it is determined that the first type of hardware alarm exists according to alarm data of a base station where the problem cell is located, output a corresponding alarm processing suggestion according to the existing first type of hardware alarm.
Specifically, the data obtaining module 201 obtains performance data of the main serving cell and the neighboring cells of the main serving cell collected through drive test, and determines whether there is a problem cell in the neighboring cells of the main serving cell and the main serving cell according to the performance data of the neighboring cells of the main serving cell and the main serving cell, and if there is a problem cell in the neighboring cells of the main serving cell and the main serving cell, obtains alarm data of a base station where each problem cell is located.
The data analysis module 202 analyzes the alarm data of the base station where each problem cell is located, determines whether a first type of hardware alarm exists in the alarm data, and if so, outputs a corresponding alarm processing suggestion according to the existing first type of hardware alarm.
The specific method and flow for implementing the corresponding functions by each module included in the network optimization device are described in the above embodiments of the network optimization method, and are not described herein again.
The network optimization device is used for the network optimization method of the foregoing embodiments. Therefore, the description and definition in the network optimization method in the foregoing embodiments can be used for understanding the execution modules in the embodiments of the present invention.
The embodiment of the invention determines the problem cell through the performance data, outputs the corresponding alarm processing suggestion according to the first class hardware alarm existing in the problem cell, can automatically analyze the reason of the perception problem and give the optimization suggestion, can be more widely applied to each communication network needing to be optimized, and has higher automation degree, higher efficiency and better timeliness.
Fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention. Based on the content of the above-described embodiment, as shown in fig. 3, an electronic apparatus includes: a processor (processor)301, a memory (memory)302, and a bus 303; the processor 301 and the memory 302 complete communication with each other through the bus 303; processor 301 is configured to call program instructions in memory 302 to perform the methods provided by the various method embodiments described above, including, for example: acquiring performance data of a main service cell and adjacent cells of the main service cell, and acquiring alarm data of a base station where each problem cell is located if the problem cell exists in the adjacent cells of the main service cell and the main service cell according to the judgment and the learning of the performance data of the main service cell and the adjacent cells of the main service cell; and for each problem cell, if judging that the first type of hardware alarm exists according to the alarm data of the base station where the problem cell is located, outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm.
Another embodiment of the present invention discloses a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the above-mentioned method embodiments, for example, including: acquiring performance data of a main service cell and adjacent cells of the main service cell, and acquiring alarm data of a base station where each problem cell is located if the problem cell exists in the adjacent cells of the main service cell and the main service cell according to the judgment and the learning of the performance data of the main service cell and the adjacent cells of the main service cell; and for each problem cell, if judging that the first type of hardware alarm exists according to the alarm data of the base station where the problem cell is located, outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm.
Another embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above method embodiments, for example, including: acquiring performance data of a main service cell and adjacent cells of the main service cell, and acquiring alarm data of a base station where each problem cell is located if the problem cell exists in the adjacent cells of the main service cell and the main service cell according to the judgment and the learning of the performance data of the main service cell and the adjacent cells of the main service cell; and for each problem cell, if judging that the first type of hardware alarm exists according to the alarm data of the base station where the problem cell is located, outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. It is understood that the above-described technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method of the above-described embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for network optimization, comprising:
acquiring performance data of a main service cell and adjacent cells of the main service cell, and acquiring alarm data of a base station where each problem cell is located if the problem cell exists in the adjacent cells of the main service cell and the main service cell according to the judgment and the learning of the performance data of the main service cell and the adjacent cells of the main service cell;
for each problem cell, if judging that a first type of hardware alarm exists according to alarm data of a base station where the problem cell is located, outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm;
the analyzing the performance index of the cell for each cell in the main serving cell and each neighboring cell of the main serving cell to determine whether the cell is a problem cell includes:
judging whether the cell meets any one of first judgment conditions;
if so, determining the cell as a problem cell;
if not, judging whether the cell meets any one of second judgment conditions; if so, determining the cell as a problem cell; if not, the cell is not a problem cell;
the first determination condition may include: the proportion that the downlink rate of the PDCP layer is lower than a preset first rate threshold is larger than a preset first proportion threshold, the downlink flow of the PDCP layer is larger than a preset flow threshold, the proportion that the downlink rate of the physical layer is lower than a preset second rate threshold is larger than a preset second proportion threshold, and the block error rate of the physical downlink shared channel is larger than a preset first block error rate threshold;
the second determination condition may include: the proportion that the uplink rate of the PDCP layer is smaller than the preset third rate threshold is larger than the preset third proportion threshold, the proportion that the uplink rate of the physical layer is smaller than the preset fourth rate threshold is larger than the preset fourth proportion threshold, and the block error rate of the physical uplink shared channel is larger than the preset second block error rate threshold.
2. The method according to claim 1, wherein after obtaining the alarm data of the base station where each of the problematic cells is located, the method further comprises:
if the main service cell is a problem cell and the first class hardware alarm does not exist according to the alarm data of the base station where the main service cell is located, judging whether the main service cell has a resource load problem or not according to the performance data of the main service cell;
if the resource load problem exists, outputting a corresponding parameter modification suggestion or channel expansion suggestion according to the existing resource load problem.
3. The network optimization method according to claim 2, wherein after determining whether the primary serving cell has the resource load problem according to the performance data of the primary serving cell, the method further comprises:
if the resource load problem does not exist, acquiring configuration data of the main service cell, and judging whether the main service cell has a neighboring cell configuration problem according to the configuration data;
and if the adjacent cell configuration problem exists, outputting a corresponding adjacent cell configuration modification suggestion according to the existing adjacent cell configuration problem.
4. The network optimization method according to claim 3, wherein after determining whether the neighboring cell configuration problem exists in the primary serving cell according to the configuration data, the method further comprises:
if the adjacent cell configuration problem does not exist, acquiring physical cell identification data of the main service cell and the adjacent cell of the main service cell, and judging whether the main service cell has an interference problem or not according to the physical cell identification;
if the interference problem exists, outputting a corresponding physical cell identifier modification suggestion according to the existing interference problem;
if the interference problem does not exist, acquiring the parameters of the main service cell, and judging whether the main service cell has a first type of parameter setting problem or not according to the parameters of the main service cell;
if the first type of parameter setting problem exists, outputting a corresponding parameter modification suggestion according to the existing first type of parameter setting problem.
5. The method of claim 4, wherein after determining whether the primary serving cell has the first type of parameter setting problem according to the parameter of the primary serving cell, the method further comprises:
if the first type parameter setting problem does not exist, acquiring a measurement report of the main service cell, and judging whether the main service cell has the first type signal coverage problem or not according to the measurement report;
if the first type of signal coverage problem exists, judging whether a second type of hardware alarm exists in the base station of the main service cell according to alarm data of the base station of the main service cell;
and if the second type of hardware alarm exists, outputting a corresponding alarm processing suggestion according to the existing second type of hardware alarm.
6. The method of claim 5, wherein after determining whether the second type of hardware alarm exists in the base station where the primary serving cell is located, the method further comprises:
if no second type hardware alarm exists, judging whether the main service cell has a second type parameter setting problem according to the parameters of the main service cell;
if the second type of parameter setting problem exists, outputting a corresponding parameter modification suggestion according to the second type of parameter setting problem;
if the second type of parameter setting problem does not exist, judging whether the main service cell has the second type of signal coverage problem according to the measurement report;
if the second-class signal coverage problem exists, acquiring working parameters of the main service cell and a base station where the main service cell is located, and judging whether the third-class parameter setting problem exists in the main service cell and the base station where the main service cell is located according to the working parameters;
and if the third type of parameter setting problem exists, outputting a corresponding parameter modification suggestion according to the existing third type of parameter setting problem.
7. The method of claim 6, wherein after determining whether the primary serving cell has the first type of signal coverage problem according to the measurement report, the method further comprises:
if the first type signal coverage problem does not exist, judging whether the second type signal coverage problem exists in the main service cell according to the measurement report;
if the second-class signal coverage problem exists, acquiring the working parameters, and judging whether the third-class parameter setting problem exists in the main service cell and a base station where the main service cell is located according to the working parameters;
and if the third type of parameter setting problem exists, outputting a corresponding parameter modification suggestion according to the third type of parameter setting problem.
8. A network optimization apparatus, comprising:
the data acquisition module is used for acquiring performance data of a main service cell and adjacent cells of the main service cell, and acquiring alarm data of a base station where each problem cell is located if the problem cell exists in the adjacent cells of the main service cell and the main service cell according to the judgment of the performance data of the main service cell and the adjacent cells of the main service cell;
the data analysis module is used for judging whether a first type of hardware alarm exists according to alarm data of a base station where the problem cell is located for each problem cell, and outputting a corresponding alarm processing suggestion according to the existing first type of hardware alarm;
the data acquisition module analyzes the performance index of the cell for each cell in the main service cell and each adjacent cell of the main service cell to determine whether the cell is a problem cell, and the data acquisition module comprises the following steps:
judging whether the cell meets any one of first judgment conditions;
if so, determining the cell as a problem cell;
if not, judging whether the cell meets any one of second judgment conditions; if so, determining the cell as a problem cell; if not, the cell is not a problem cell;
the first determination condition may include: the proportion that the downlink rate of the PDCP layer is lower than a preset first rate threshold is larger than a preset first proportion threshold, the downlink flow of the PDCP layer is larger than a preset flow threshold, the proportion that the downlink rate of the physical layer is lower than a preset second rate threshold is larger than a preset second proportion threshold, and the block error rate of the physical downlink shared channel is larger than a preset first block error rate threshold;
the second determination condition may include: the proportion that the uplink rate of the PDCP layer is smaller than the preset third rate threshold is larger than the preset third proportion threshold, the proportion that the uplink rate of the physical layer is smaller than the preset fourth rate threshold is larger than the preset fourth proportion threshold, and the block error rate of the physical uplink shared channel is larger than the preset second block error rate threshold.
9. An electronic device, comprising:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 7.
10. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 to 7.
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| CN111132190A (en) * | 2019-11-28 | 2020-05-08 | 中通服建设有限公司 | Base station load early warning method and device |
| CN111107569B (en) * | 2019-12-04 | 2022-09-27 | 中国联合网络通信集团有限公司 | Method and device for screening problem cells |
| CN113068200B (en) * | 2020-01-02 | 2022-11-04 | ***通信集团设计院有限公司 | Method and device for detecting 5G network fault |
| CN113498097B (en) * | 2020-04-01 | 2023-04-14 | 成都鼎桥通信技术有限公司 | Standing wave warning method and equipment suitable for small base station piggyback antenna scene |
| CN111885629B (en) * | 2020-08-10 | 2022-05-03 | 中国联合网络通信集团有限公司 | Network optimization method and device |
| CN113747481B (en) * | 2021-09-03 | 2023-05-16 | 中国联合网络通信集团有限公司 | Method, apparatus and computer readable storage medium for determining network health status |
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