CN113747481A - Method, device and computer readable storage medium for determining network health state - Google Patents
Method, device and computer readable storage medium for determining network health state Download PDFInfo
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Abstract
The invention provides a method, equipment and a computer readable storage medium for determining the health state of a network, wherein the method comprises the following steps: determining the mode 3 interference UE of each cell to be tested corresponding to the current base station according to the UE accessed by the current base station; determining a first modulo-3 interference ratio of each cell to be detected when the antenna feeder is reversely connected and a second modulo-3 interference ratio of each cell to be detected when the antenna feeder is not reversely connected according to the ratio of the number of the modulo-3 interference UE to the number of the UE; and determining the network health score of the current base station according to the ratio of the sum of the first modulo-3 interference ratios and the sum of the second modulo-3 interference ratios, wherein the network health score is in a negative correlation with the network performance. In the invention, the base station and the network performance are in negative correlation when the antenna feeder is reversely connected, and technicians can determine the quality of the network performance provided by the base station based on the network health score of the base station, thereby timely maintaining the antenna feeder reverse base station with poor network performance.
Description
Technical Field
The present invention relates to communications technologies, and in particular, to a method, an apparatus, and a computer-readable storage medium for determining a network health status.
Background
The mobile communication technology is continuously developed, the network scale is larger and larger, due to the fact that the number of communication engineers is limited, the quality of personnel is uneven, errors are difficult to avoid in the installation and maintenance processes of the base station equipment, and the antenna feedback in the base station is the most common problem. The problems of abnormal power transmission of equipment, disordered adjacent cells and the like can be caused by the reverse connection of the antenna feeder, so that the phenomena of call drop, poor call quality and the like are caused, and the user perception is seriously influenced.
The antenna feed of the base station is a common problem, and the problem that the antenna feeds of a plurality of base stations are connected reversely exists. The network state of some base stations with the antenna feedback is serious, and the network state of other base stations with the antenna feedback is not serious.
When maintaining the base stations with the antenna feedback connection in a good network state, technicians usually select the base station with the closest distance to maintain the base stations, and the base stations with the antenna feedback connection in a poor network state cannot be maintained in time.
Disclosure of Invention
The invention provides a method and equipment for determining a network health state and a computer readable storage medium, which are used for solving the problem that an antenna feeder reverse base station with a poor network state cannot be maintained in time.
In one aspect, the present invention provides a method for determining a network health status, including:
acquiring the number of User Equipment (UE) accessed by a current base station;
determining modulo-3 interference UE of each cell to be tested corresponding to the current base station according to the UE accessed by the current base station, wherein each cell to be tested comprises a cell with an antenna feedback connection feedback;
determining a first modulo-3 interference ratio of each cell to be detected when the antenna feeder is in reverse connection and a second modulo-3 interference ratio of each cell to be detected when the antenna feeder is not in reverse connection according to the ratio of the number of the modulo-3 interference UE of each cell to be detected to the number of the UE;
and determining the network health score of the current base station according to the ratio of the sum of the first modulo-3 interference ratios to the sum of the second modulo-3 interference ratios, wherein the network health score is in negative correlation with the network performance.
Optionally, the step of determining, according to a ratio between the number of the modulo-3 interference UEs of each cell to be measured and the number of the UEs, a first modulo-3 interference ratio of each cell to be measured when the antenna feeder is connected reversely and a second modulo-3 interference ratio of each cell to be measured when the antenna feeder is not connected reversely includes:
classifying each modulo-3 interference UE of the cell to be tested according to a mod3 value to obtain the number of each type of modulo-3 interference UE, wherein the modulo-3 interference UE has a mod3 value;
determining a switching application proportion corresponding to each mod3 value in the cell to be tested according to the ratio of the quantity of each type of the modulo 3 interference UE to the quantity of the UE;
when the cell to be tested is a cell with reverse antenna feed, determining a switching application proportion corresponding to a mod3 value which is a preset mod3 value of the cell to be tested as a first module 3 interference proportion of the cell to be tested, and determining a second module 3 interference proportion of the cell to be tested in the switching application proportion of which the mod3 value is not a preset mod3 value according to the type of the reverse antenna feed of the cell to be tested;
when the cell to be tested is not a cell with antenna feedback connection feedback, determining a switching application proportion corresponding to a preset mod3 value of the cell to be tested as a first module 3 interference proportion and a second module 3 interference proportion of the cell to be tested, wherein the mod3 value is the preset mod3 value of the cell to be tested.
Optionally, the step of determining, according to the UE accessed by the current base station, a modulo-3 interference UE of each cell to be measured corresponding to the current base station includes:
determining a first parameter of each UE, the first parameter being in a serving cell and a second parameter being in other cells, wherein the other cells are to-be-measured cells adjacent to the serving cell, the first parameter includes a first Reference Signal Received Power (RSRP) and a first level value, and the second parameter includes a second RSRP and a second level value;
and when the first parameter and the second parameter meet a preset condition and the Physical Cell Identity (PCI) of the serving cell and the PCIs of the other cells are congruent to modulo 3, determining the UE as modulo 3 interference UE of the serving cell and the other cells.
Optionally, the preset condition includes at least one of:
the second RSRP is less than the first RSRP, a difference between the first RSRP and the second RSRP is less than a preset difference, and the first RSPR is greater than a preset threshold;
the second level value is higher than or equal to the first level value, and the first RSPR is greater than a preset threshold.
Optionally, after the step of determining the network health score of the current base station according to the ratio of the sum of each first modulo-3 interference ratio and the sum of each second modulo-3 interference ratio, the method further includes:
determining the maximum network health score from the network health scores of the current base station and the network health scores of other base stations;
and outputting priority maintenance information of a target base station according to the maximum network health score, wherein the target base station is the base station corresponding to the maximum network health score.
Optionally, before the step of obtaining the number of the user equipments UE accessed by the current base station, the method further includes:
acquiring minimization drive test data of UE (user equipment) accessed by each cell to be tested, and determining a simulation azimuth angle corresponding to each cell to be tested according to the minimization drive test data of each cell to be tested;
acquiring an operating parameter azimuth angle of each cell to be tested, and determining an included angle between a direction corresponding to a simulated azimuth angle of each cell to be tested and a direction corresponding to the operating parameter azimuth angle of each cell to be tested to obtain a plurality of sets, wherein each included angle in the sets corresponds to the same simulated azimuth angle;
determining the minimum included angle in each set;
and judging whether each cell to be detected comprises a cell with an antenna feedback connection feedback according to the cell to be detected to which the working parameter azimuth corresponding to each minimum included angle belongs, wherein the step of acquiring the number of the User Equipment (UE) accessed by the current base station is executed when each cell to be detected is judged to comprise the cell with the antenna feedback connection feedback.
Optionally, the step of determining the simulation azimuth corresponding to each cell to be tested according to each minimization of drive test data of each cell to be tested includes:
performing linear regression clustering on the position of each UE of each cell to be tested according to the transmitting power corresponding to the MDT data to obtain a fitting straight line corresponding to each cell to be tested;
determining the power weakening direction of the antenna of the current base station in the cell to be tested according to the corresponding fitting straight line of each cell to be tested;
and determining a simulation azimuth angle corresponding to each cell to be tested according to the power attenuation direction corresponding to each cell to be tested.
In another aspect, the present invention further provides a device for determining a network health status, including:
the acquisition module is used for acquiring the number of User Equipment (UE) accessed by a current base station;
a determining module, configured to determine, according to the UE accessed by the current base station, a modulo-3 interference UE of each cell to be tested corresponding to the current base station, where each cell to be tested includes a cell with an antenna feedback connection feedback;
the determining module is configured to determine, according to a ratio between the number of the modulo-3 interference UEs of each cell to be measured and the number of the UEs, a first modulo-3 interference ratio when the antenna feeder of each cell to be measured is connected reversely and a second modulo-3 interference ratio when the antenna feeder of each cell to be measured is not connected reversely;
the determining module is configured to determine a network health score of the current base station according to a ratio of a sum of each first modulo-3 interference ratio to a sum of each second modulo-3 interference ratio, where the network health score is in a negative correlation with network performance.
In another aspect, the present invention further provides a device for determining a network health status, including: a memory and a processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to cause the processor to perform the method of determining network health as described above.
In another aspect, the present invention further provides a computer-readable storage medium, in which computer-executable instructions are stored, and the computer-executable instructions are executed by a processor to implement the method for determining the network health status as described above.
The method, the equipment and the computer readable storage medium for determining the network health state provided by the invention are used for obtaining the number of User Equipment (UE) accessed by a current base station, determining the modulo-3 interference UE of each cell to be tested of the current base station by using each UE, and determining the first modulo-3 interference proportion of each cell to be tested when the antenna feeder is reversely connected and the second modulo-3 interference proportion of each cell to be tested when the antenna feeder is not reversely connected according to the number of the modulo-3 interference UE of each cell to be tested and the ratio of the sum of the first modulo-3 interference proportions and the sum of the second modulo-3 interference proportions, so as to determine the network health score of the current base station according to the ratio of the sum of the first modulo-3 interference proportions and the sum of the second modulo-3 interference proportions. In the invention, the network health score is determined for the base station containing the antenna feeder reverse connection time measuring cell, and the network health score and the network performance are in a negative correlation relationship, so that technical personnel can determine the quality of the network performance provided by the base station based on the network health score of the base station, and can know the antenna feeder reverse connection base station with poor network performance based on the network health score, thereby timely maintaining the antenna feeder reverse connection base station with poor network performance.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a system architecture diagram of a method for determining network health in accordance with the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a method for determining a health status of a network according to the present invention;
fig. 3 is a detailed flowchart of step S30 in the second embodiment of the method for determining the health status of the network according to the present invention;
FIG. 4 is a flowchart illustrating a method for determining a health status of a network according to a third embodiment of the present invention;
FIG. 5 is a schematic diagram of a fitted straight line according to an embodiment of the present invention;
FIG. 6 is a block diagram of a network health status determining apparatus according to the present invention;
fig. 7 is a schematic diagram of a hardware structure of the network health status determining device according to the present invention.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The invention provides a method for determining the health state of a network, which can be realized by a system architecture diagram shown in figure 1. As shown in fig. 1, the base station provides network signals to each cell, so that the user equipment UE of the cell can surf the internet through the network signals (the dotted line indicates that the base station provides the network signals to the UE). When the antenna feeder of the base station needs to be determined to be connected reversely, the UE accessing the base station is used as a sampling point, and whether the antenna feeder of the cell radiated by the base station is connected reversely is determined based on the minimization of drive test data provided by the UE. And determining a network health score for characterizing the network performance of the base station according to the data provided by the UE. The device for determining the antenna feedback of the base station and determining the network health score may be a base station, or other devices such as a computer (not shown in fig. 1).
The following describes the technical solutions of the present invention and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
Referring to fig. 2, fig. 2 is a first embodiment of the method for determining the network health status of the present invention, which is applied to an index server, and the method for determining the network health status includes the following steps:
step S10, obtaining the number of user equipments UE accessed by the current base station.
In this embodiment, the execution subject may be a base station or other equipment, and for convenience of description, the apparatus refers to the base station or other equipment as the execution subject. The device obtains the number of User Equipment (UE) accessed by a current base station. Each UE is treated as a sampling point. The current base station is the base station that has been determined to be antenna-switched back.
Step S20, determining the mode 3 interference UE of each cell to be tested corresponding to the current base station according to the UE accessed by the current base station, wherein each cell to be tested comprises a cell with antenna feedback connection.
The feedback of the antenna can cause MOD3 interference and neighbor cell missing; however, since the 4G network has an ANR function (ANR refers to a dialog box displayed to the user by the system when the response of the application is not sensitive enough in the android system), the neighbor missing phenomenon is less, and the fluctuation of the above indexes is not obvious, so the MOD3 interference ratio is adopted as the basis for the network health score.
The device can determine the mode 3 interference UE of each cell to be tested corresponding to the current base station based on the UE, the cell to be tested is the cell radiated by the current base station signal, and each cell to be tested comprises a cell with antenna feedback. The MOD3 interference UE refers to a UE causing MOD3 interference to a cell to be measured.
The data used to determine the mode 3 interfering UE is derived from MRO (MR Original) data. The apparatus can determine whether the UE is a modulo-3 interfering UE by using the RSRP (Reference Signal Receiving Power) of the UE in the MRO data. Specifically, the apparatus determines a first parameter of each UE in a serving cell and a second parameter in other cells, where the first parameter includes a first RSRP and a first level value, and the second parameter includes a second RSRP and a second level value. The serving cell and other cells are all cells to be measured of current base station signal radiation, and the other cells are adjacent cells of the serving cell. The device judges whether the first parameter and the second parameter meet a preset condition. If the first parameter and the second parameter satisfy the preset condition and the PCI of the serving Cell is congruent with the PCIs (physical-layer Cell identities) of other cells for modulo 3, the UE may be determined as a modulo 3 interfering UE of the serving Cell and the other cells. The congruence is that the remainder obtained by dividing the PCIs of the two cells by 3 is the same, or the congruence is that the value obtained by subtracting the PCIs of the two cells can be divided by 3.
The preset condition includes at least one of: the second RSRP is smaller than the first RSRP, the difference value between the first RSRP and the second RSRP is smaller than a preset difference value, and the first RSPR is larger than a preset threshold value; the second level value is higher than or equal to the first level value, and the first RSPR is greater than a preset threshold. The predetermined threshold may be any suitable value, for example, the predetermined threshold may be-110 dBm, and the predetermined difference may be any suitable value, for example, the predetermined difference may be 6 dB.
For example, the signal measured by the UE at a certain location is: cell A is-106 dBm, PCI is 3, cell B is-108 dBm, PCI is 6, A, B cells can be serving cells and other cells; the UE is a modulo-3 interfering UE for both the a cell and the B cell.
Step S30, according to the ratio of the number of the modulo-3 interference UE of each cell to be tested to the number of the UE, determining a first modulo-3 interference ratio when the antenna feeder of each cell to be tested is connected reversely and a second modulo-3 interference ratio when the antenna feeder is not connected reversely.
After the device obtains the modulo-3 interference UE of each cell to be detected, the device calculates the ratio of the modulo-3 interference UE quantity of each cell to be detected to the UE quantity, thereby determining the first modulo-3 interference ratio of each cell to be detected when the antenna feeder is reversely connected and the second modulo-3 interference ratio of each cell to be detected when the antenna feeder is not reversely connected according to the corresponding ratio of each cell to be detected. It should be noted that, the cell to be measured is determined as an antenna feeder with a negative feedback, and it is assumed that the cell to be measured is an antenna feeder with a negative feedback, so as to obtain a first module 3 interference ratio and a second module 3 interference ratio; or, the cell to be measured is determined that the antenna feeder is not reversed, and it is assumed that the cell to be measured is the antenna feeder reversed, so as to obtain the second modulo-3 interference ratio and the first modulo-3 interference ratio. The first modulo-3 interference ratio may refer to a ratio of the number of sampling points interfered by MOD3 in the cell to be measured with the antenna feed being in reverse connection to the total number of sampling points, and the second modulo-3 interference ratio may refer to a ratio of the number of sampling points interfered by MOD3 in the cell to be measured with the antenna feed not being in reverse connection to the total number of sampling points.
Step S40, determining the network health score of the current base station according to the ratio of the sum of the first modulo-3 interference ratios and the sum of the second modulo-3 interference ratios, wherein the network health score is in negative correlation with the network performance.
After the device obtains the first modulo-3 interference proportion and the second modulo-3 interference proportion of each cell to be detected, the device calculates the sum of each first modulo-3 interference proportion and the sum of each second modulo-3 interference proportion, and the ratio of the sum of the first modulo-3 interference proportions to the sum of each second modulo-3 interference proportion can be used as the network health score of the current base station. The network health score is in a negative correlation with the performance of the network provided by the base station, i.e., the larger the network health score is, the worse the performance of the network is. The device can output the network health score, thereby leading technical personnel to know the network performance of the current base station and being convenient for the technical personnel to preferentially maintain the antenna feeder reverse base station with poor network performance in time.
In the technical scheme provided by this embodiment, the number of UEs accessing the current base station is obtained, and each UE is used to determine the modulo 3 interference UE of each cell to be measured of the current base station, and then according to the ratio between the number of the modulo 3 interference UEs of each cell to be measured and the number of the UEs, the first modulo 3 interference ratio of each cell to be measured when the antenna feeder is reversely connected and the second modulo 3 interference ratio of each cell to be measured when the antenna feeder is not reversely connected are determined, so that the network health score of the current base station is determined according to the ratio between the sum of each first modulo 3 interference ratio and the sum of each second modulo 3 interference ratio. In the invention, the network health score is determined for the base station containing the antenna feeder reverse connection time measuring cell, and the network health score and the network performance are in a negative correlation relationship, so that technical personnel can determine the quality of the network performance provided by the base station based on the network health score of the base station, and can know the antenna feeder reverse connection base station with poor network performance based on the network health score, thereby timely maintaining the antenna feeder reverse connection base station with poor network performance.
Referring to fig. 3, fig. 3 is a second embodiment of the method for determining the network health status according to the present invention, and based on the first embodiment, step S30 includes:
step S31, classifying the modulo-3 interference UE of the cell to be tested according to a mod3 value to obtain the number of each type of modulo-3 interference UE, wherein the modulo-3 interference UE has a mod3 value.
In this embodiment, the mod3 interfering UE has a mod3 value in the cell to be measured, and mod3 value is 0, 1 or 2. And each cell under test has a corresponding preset mod3 value. The device classifies the modulo-3 interference UEs in each cell to be measured according to the mod3 value, that is, the modulo-3 interference UEs with mod3 equal to 0 are classified into one class, the modulo-3 interference UEs with mod3 equal to 1 are classified into one class, and the modulo-3 interference UEs with mod3 equal to 2 are classified into one class.
Step S32, determining the switching application proportion corresponding to each mod3 value in the cell to be tested according to the ratio of the number of each type of modulo 3 interference UE of the cell to be tested to the number of the UE.
The device counts the number of each type of modulo-3 interference UE in each cell to be tested, and then divides the number by the total number of the UE respectively, so as to obtain the switching application proportion corresponding to each mod3 of the cell to be tested. With specific reference to Table-1:
TABLE-1
Step S33, when the cell to be measured is a cell with reverse antenna feed, determining the switching application proportion corresponding to the preset mod3 value with the mod3 value as the first modulo 3 interference proportion of the cell to be measured, and determining the second modulo 3 interference proportion of the cell to be measured in the switching application proportion with the mod3 value not as the preset mod3 value according to the type of the antenna feed feedback of the cell to be measured.
Step S34, when the cell to be tested is not a cell with antenna feedback, determining the switching application ratio corresponding to the preset mod3 value with the mod3 value as the first modulo-3 interference ratio and the second modulo-3 interference ratio of the cell to be tested.
The cell to be measured of the current base station signal radiation has a cell with an antenna feed connected reversely, and may have a cell with an antenna feed not connected reversely. If the cell to be tested is the cell with the reverse antenna feed, determining the switching application proportion corresponding to the preset mod3 value with the mod3 value as the first modulo 3 interference proportion of the cell to be tested, and determining the second modulo 3 interference proportion of the cell to be tested in the switching application proportion with the mod3 value not being the preset mod value based on the type of the reverse antenna feed of the cell to be tested. If the cell to be tested is not the cell with the antenna feedback being connected reversely, the switching application proportion with the mod3 value as the preset mod3 value of the cell to be tested is used as the first module 3 interference proportion and the second module 3 interference proportion of the cell to be tested.
Clustering was performed with the data of Table-1. Assuming that the cells 431609-1-1 and 431609-2-1 are connected reversely, and the preset mod3 value of the cell 431609-1-1 is 0, then 15.53% of the handover application proportion with mod3 equal to 0 is taken as the first mod3 interference proportion (the same mod handover application proportion, that is, the handover application proportion with mod3 value equal to the preset mod3 value), and the cells 431609-1-1 and 431609-2-1 are fed reversely (the antenna feed connection feedback type of the cell to be tested), then 41.92% of the handover application proportion with mod3 equal to 1 is the handover application proportion with mod3 equal to 0 when the cell 431609-1-1 is fed without feedback (the cell 431609-1-1 and the cell 431609-2-1 are connected reversely, the preset mod3 value of the cell 431609-1-1 is 0, the preset mod 6861 value of the cell 636-2-351 is equal to 0, and the two handover application proportions with mod3 and 3 are reached, that is, the normal handover application rate when two cells are not reversed), that is, the handover application rate 41.92% with mod3 ═ 1 is used as the second modulo 3 interference rate of the cell 431609-1-1; similarly, if the preset mod3 value of the cell 431609-2-1 is 1, then 10.47% of the handover application proportion with mod3 being 1 is used as the first modulo 3 interference proportion of the cell 431609-2-1, then the cell 431609-1-1 and the cell 431609-2-1 are fed back (the antenna feed of the cell to be tested is connected back), then 51.13% of the handover application proportion with mod3 being 0 is the handover application proportion with mod3 being 1 when no feedback is given for the cell 431609-2-1 (the cell 431609-1-1 and the cell 431609-2-1 are fed back, the preset mod3 value of the cell 431609-1-1 is 0, the preset 3 value of the cell 431609-2-1 is 1, then the mod3 values of the two cells are 1 and 3 values are 0, that is the two normal handover application proportions when no feedback is given, that is, the second modulo-3 interference ratio of cell 431609-2-1 is 51.13% of the handover application ratio of mod3 ═ 0.
Further, the antenna feeder of the cell 431609-3-1 is not reversed, and the preset mod3 value of the cell 431609-3-1 is 2, then the handover application ratio 66.05% of mod3 ═ 2 is used as the first modulo-3 interference ratio and the second modulo-3 interference ratio of the cell 431609-3-1. Thus, the network health score for the base station is (15.53+10.47+66.05)/(41.91+52.13+66.05) ═ 0.57.
In the technical scheme provided by this embodiment, the apparatus determines, based on the classification of each type of modulo-3 interference UE of each cell to be measured and the preset mod3 value, the number of each type of modulo-3 interference UE in each cell to be measured, and further determines a switching application ratio corresponding to each type of modulo-3 interference UE in the cell to be measured, and further accurately determines a first modulo-3 interference ratio and a second modulo-3 interference ratio of each cell to be measured.
In an embodiment, after step S40, the method further includes:
determining the maximum network health score from the network health scores of the current base station and the network health scores of other base stations;
and outputting the priority maintenance information of the target base station according to the maximum network health score, wherein the target base station is the base station corresponding to the maximum network health score.
In this embodiment, the apparatus may determine the maximum network health score among the network health scores of the current base station and each of the other base stations. Referring to Table-2:
TABLE-2
Wherein, eNodeB _ ID is the base station ID, CELL ID is the CELL ID, and the primary CELL mod3 value is the preset mod3 value.
The device takes the current base station or other base stations corresponding to the maximum network health score as the target base station, and therefore the priority maintenance information of the target base station is output. For example, if the network health score of the base station 431211 is 5.89, the base station should be maintained with priority, and a prompt message for maintaining the 431211 base station with priority is output to the terminal of the technician.
Referring to fig. 4, fig. 4 is a third embodiment of the method for determining the network health status according to the present invention, and based on the first or second embodiment, before step S10, the method further includes:
step S50, obtaining minimization drive test data of the UE accessed by each cell to be tested, and determining a simulation azimuth corresponding to each cell to be tested according to each minimization drive test data of each cell to be tested.
In this embodiment, the apparatus obtains Minimization of Drive Tests (MDT) data of the UE accessed by each cell to be tested, where the MDT data is a function agreed by 3GPP specifications, and automatically collects measurement report data and latitude and longitude information by using a commercial terminal supporting GNSS in the current network, so as to discover problems and faults in the wireless network. The apparatus determines a simulated azimuth angle for each cell under test based on the respective MDT data for each cell under test. Specifically, the antenna of the base station propagates in real space, and the power of the antenna is delivered from the center line to both sides and is delivered along the propagation direction. The minimization of drive test data is a function agreed by 3GPP specifications, measurement report data and latitude and longitude information are automatically collected by utilizing a commercial terminal supporting GNSS in the existing network, namely the minimization of drive test data comprises transmitting power corresponding to the antenna at the acquisition position of the minimization of drive test data, and the acquisition position is the position of UE (user equipment), so that the device can perform linear regression clustering on the positions of the UE in the cell to be tested based on the transmitting power in the minimization of drive test data, thereby obtaining a fitting straight line of each cell to be tested, and the fitting straight line specifically refers to FIG. 5. The device can determine the power weakening direction of the antenna of the current base station in the cell to be tested according to the direction of the fitted straight line, and the device can determine the simulation azimuth angle of the cell to be tested according to the power weakening direction.
Step S60, acquiring the work parameter azimuth angle of each cell to be tested, and determining the included angle between the direction corresponding to the simulated azimuth angle of each cell to be tested and the direction corresponding to the work parameter azimuth angle of each cell to be tested to obtain a plurality of sets, wherein each included angle in the sets corresponds to the same simulated azimuth angle.
Step S70, the minimum included angle in each set is determined.
Step S80, determining whether each cell to be measured includes a cell with an antenna feedback connection feedback according to the cell to be measured to which the working parameter azimuth corresponding to each minimum included angle belongs, wherein when determining that each cell to be measured includes a cell with an antenna feedback connection feedback, the step of acquiring the number of the user equipments UE accessed by the current base station is performed.
Each cell to be tested has an operating parameter azimuth angle, which can be expressed as a set direction of the power attenuation of the antenna of the base station in the cell to be tested. The device determines an included angle between a direction corresponding to the simulated azimuth angle of each cell to be tested and a direction corresponding to the working parameter azimuth angle of each cell to be tested, so that a plurality of sets are obtained, each included angle in the sets is obtained by the participation of the same simulated azimuth angle in calculation, namely each included angle in the sets corresponds to the same simulated azimuth angle. The device determines the minimum included angle in each set, and therefore whether each cell to be detected comprises a cell with an antenna feedback connection feedback or not is judged according to the cell to be detected to which the working parameter azimuth corresponding to the minimum included angle belongs. If it is determined that each cell to be tested includes a cell with an antenna feedback, the number of the UEs accessing the current base station needs to be obtained, that is, the steps S10 to S40 are performed. The following examples are given.
The base station corresponds to three cells, and the three cells include: the first cell is a cell A, the second cell is a cell B, and the third cell is a cell C.
1. Calculating an included angle A1 between a direction corresponding to the simulated azimuth angle of the first cell and a direction corresponding to the working parameter azimuth angle of the first cell, calculating an included angle A2 between a direction corresponding to the simulated azimuth angle of the first cell and a direction corresponding to the working parameter azimuth angle of the second cell, and calculating an included angle A3 between a direction corresponding to the simulated azimuth angle of the first cell and a direction corresponding to the working parameter azimuth angle of the third cell.
2. Calculating an included angle B1 between the direction corresponding to the simulated azimuth angle of the second cell and the direction corresponding to the working parameter azimuth angle of the first cell, calculating an included angle B2 between the direction corresponding to the simulated azimuth angle of the second cell and the direction corresponding to the working parameter azimuth angle of the second cell, and calculating an included angle B3 between the direction corresponding to the simulated azimuth angle of the second cell and the direction corresponding to the working parameter azimuth angle of the third cell.
3. Calculating an included angle C1 between the direction corresponding to the simulated azimuth angle of the third cell and the direction corresponding to the working parameter azimuth angle of the first cell, calculating an included angle C2 between the direction corresponding to the simulated azimuth angle of the third cell and the direction corresponding to the working parameter azimuth angle of the second cell, and calculating an included angle C3 between the direction corresponding to the simulated azimuth angle of the third cell and the direction corresponding to the working parameter azimuth angle of the third cell.
4. And determining whether the antenna feeder of the base station is reversely connected and the type of the reverse connection of the antenna feeder of the base station according to all the included angles and a preset rule. Specifically, the angles are classified, and the angles of the same simulated azimuth angle are classified into a set, namely an a set { a1, a2, A3}, a B set { B1, B2, B3} and a C set { C1, C2, C3 }. When min { A1, A2, A3} is A1 and min { B1, B2, B3} is B1 and min { C1, C2, C3} is C1, or when min { A1, A2, A3} is A2 and min { B1, B2, B3} is B2 and min { C1, C2, C3} is C2, or when min { A1, A2, A3} is A3 and min { B1, B2, B3} is B3 and min { C1, C2, C3} is C3, it is determined that the antenna feed reverse type of the base station is absent.
3 cells, there are 27 cases, see table-3:
TABLE-3
In the technical solution provided in this embodiment, the apparatus can accurately determine whether each cell to be measured radiated by the base station signal has a cell with an antenna feedback connection feedback based on the minimization of drive test of the UE accessed by each cell to be measured.
The present invention also provides a network health status determining apparatus, and referring to fig. 6, the network health status determining apparatus 600 includes:
an obtaining module 601, configured to obtain the number of User Equipments (UEs) to which a current base station is accessed;
a determining module 602, configured to determine, according to the UE accessed by the current base station, a modulo-3 interference UE of each cell to be tested corresponding to the current base station, where each cell to be tested includes a cell with an antenna feedback connection feedback;
a determining module 602, configured to determine, according to a ratio between the number of modulo-3 interference UEs of each cell to be tested and the number of UEs, a first modulo-3 interference ratio when the antenna feeder of each cell to be tested is connected reversely and a second modulo-3 interference ratio when the antenna feeder is not connected reversely;
a determining module 602, configured to determine a network health score of the current base station according to a ratio of a sum of each first modulo-3 interference proportion to a sum of each second modulo-3 interference proportion, where the network health score is in a negative correlation with network performance.
In an embodiment, the network health status determining apparatus 600 includes:
the device comprises a classification module, a detection module and a processing module, wherein the classification module is used for classifying all the modulo-3 interference UE of a cell to be detected according to a mod3 value to obtain the number of each type of modulo-3 interference UE, and the modulo-3 interference UE has a mod3 value;
a determining module 602, configured to determine, according to a ratio between the number of each type of modulo-3 interference UE in the cell to be tested and the number of the UEs, a handover application proportion corresponding to each mod3 value in the cell to be tested;
a determining module 602, configured to determine, when the cell to be measured is a cell with reverse antenna feed connection, a switching application proportion corresponding to a preset mod3 value with a mod3 value as the cell to be measured as a first mod3 interference proportion of the cell to be measured, and determine, according to a type of the reverse antenna feed connection of the cell to be measured, a second mod3 interference proportion of the cell to be measured in the switching application proportion with a mod3 value that is not the preset mod3 value;
a determining module 602, configured to determine, when the cell to be measured is not a cell with an antenna feedback, a handover application ratio corresponding to a preset mod3 value with a mod3 value as a first modulo-3 interference ratio and a second modulo-3 interference ratio of the cell to be measured.
In an embodiment, the network health status determining apparatus 600 includes:
a determining module 602, configured to determine a first parameter of each UE in a serving cell and a second parameter of each UE in other cells, where the other cells are neighboring cells to be tested, the first parameter includes a first reference signal received power RSRP and a first level value, and the second parameter includes a second RSRP and a second level value;
a determining module 602, configured to determine the UE as a modulo-3 interference UE of the serving cell and the other cell when the first parameter and the second parameter satisfy a preset condition and the PCI of the serving cell is congruent to the PCI of the other cell with respect to the modulo-3.
In an embodiment, the network health status determining apparatus 600 includes:
a determining module 602, configured to determine a maximum network health score from the network health scores of the current base station and the network health scores of the other base stations;
and the output module is used for outputting the priority maintenance information of the target base station according to the maximum network health score, wherein the target base station is the base station corresponding to the maximum network health score.
In an embodiment, the network health status determining apparatus 600 includes:
an obtaining module 601, configured to obtain minimization drive test data of the UE accessed to each cell to be tested, and determine a simulation azimuth corresponding to each cell to be tested according to each minimization drive test data of each cell to be tested;
an obtaining module 601, configured to obtain an operating parameter azimuth angle of each cell to be measured, and determine an included angle between a direction corresponding to a simulated azimuth angle of each cell to be measured and a direction corresponding to the operating parameter azimuth angle of each cell to be measured, to obtain a plurality of sets, where each included angle in a set corresponds to a same simulated azimuth angle;
a determining module 602, configured to determine a minimum included angle in each set;
and the judging module is used for judging whether each cell to be detected comprises a cell with an antenna feedback connection feedback according to the cell to be detected to which the working parameter azimuth corresponding to each minimum included angle belongs, wherein when each cell to be detected comprises the cell with the antenna feedback connection feedback, the step of acquiring the number of the User Equipment (UE) accessed by the current base station is executed.
In an embodiment, the network health status determining apparatus 600 includes:
the clustering module is used for performing linear regression clustering on the position of each UE of each cell to be tested according to the transmitting power corresponding to the MDT data to obtain a fitting straight line corresponding to each cell to be tested;
a determining module 602, configured to determine, according to the fitted straight line corresponding to each cell to be measured, a power reduction direction of an antenna of a current base station in the cell to be measured;
and determining the simulation azimuth angle corresponding to each cell to be tested according to the power attenuation direction corresponding to each cell to be tested.
Fig. 7 is a hardware block diagram illustrating a network health status determination device in accordance with an exemplary embodiment.
The network health status determination apparatus 700 may include: a process 701, such as a CPU, a memory 702, and a transceiver 703. Those skilled in the art will appreciate that the architecture shown in fig. 7 does not constitute a limitation of the network health determination device, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components. The memory 702 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The processor 701 may call a computer program stored in the memory 702 to complete all or part of the steps of the above-described method for determining the health status of the network.
The transceiver 703 is used for receiving information transmitted from and transmitting information to an external device.
A non-transitory computer readable storage medium, wherein instructions of the storage medium, when executed by a processor of a network health status determination device, enable the network health status determination device to perform the network health status determination method.
A computer program product comprising a computer program which, when executed by a processor of a network health status determining device, enables the network health status determining device to perform the above network health status determining method.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for determining a health status of a network, comprising:
acquiring the number of User Equipment (UE) accessed by a current base station;
determining modulo-3 interference UE of each cell to be tested corresponding to the current base station according to the UE accessed by the current base station, wherein each cell to be tested comprises a cell with an antenna feedback connection feedback;
determining a first modulo-3 interference ratio of each cell to be detected when the antenna feeder is in reverse connection and a second modulo-3 interference ratio of each cell to be detected when the antenna feeder is not in reverse connection according to the ratio of the number of the modulo-3 interference UE of each cell to be detected to the number of the UE;
and determining the network health score of the current base station according to the ratio of the sum of the first modulo-3 interference ratios to the sum of the second modulo-3 interference ratios, wherein the network health score is in negative correlation with the network performance.
2. The method according to claim 1, wherein the step of determining the first modulo-3 interference ratio of each cell to be tested when the antenna feeder is connected reversely and the second modulo-3 interference ratio of each cell to be tested when the antenna feeder is not connected reversely according to the ratio between the number of the modulo-3 interference UEs of each cell to be tested and the number of the UEs comprises:
classifying each modulo-3 interference UE of the cell to be tested according to a mod3 value to obtain the number of each type of modulo-3 interference UE, wherein the modulo-3 interference UE has a mod3 value;
determining a switching application proportion corresponding to each mod3 value in the cell to be tested according to the ratio of the quantity of each type of the modulo 3 interference UE to the quantity of the UE;
when the cell to be tested is a cell with reverse antenna feed, determining a switching application proportion corresponding to a mod3 value which is a preset mod3 value of the cell to be tested as a first module 3 interference proportion of the cell to be tested, and determining a second module 3 interference proportion of the cell to be tested in the switching application proportion of which the mod3 value is not a preset mod3 value according to the type of the reverse antenna feed of the cell to be tested;
when the cell to be tested is not a cell with antenna feedback connection feedback, determining a switching application proportion corresponding to a preset mod3 value of the cell to be tested as a first module 3 interference proportion and a second module 3 interference proportion of the cell to be tested, wherein the mod3 value is the preset mod3 value of the cell to be tested.
3. The method according to claim 1, wherein the step of determining, according to the UE accessed by the current base station, the modulo-3 interference UE of each cell to be tested corresponding to the current base station includes:
determining a first parameter of each UE, the first parameter being in a serving cell and a second parameter being in other cells, wherein the other cells are to-be-measured cells adjacent to the serving cell, the first parameter includes a first Reference Signal Received Power (RSRP) and a first level value, and the second parameter includes a second RSRP and a second level value;
and when the first parameter and the second parameter meet a preset condition and the Physical Cell Identity (PCI) of the serving cell and the PCIs of the other cells are congruent to modulo 3, determining the UE as modulo 3 interference UE of the serving cell and the other cells.
4. The method according to claim 3, wherein the preset condition comprises at least one of the following:
the second RSRP is less than the first RSRP, a difference between the first RSRP and the second RSRP is less than a preset difference, and the first RSPR is greater than a preset threshold;
the second level value is higher than or equal to the first level value, and the first RSPR is greater than a preset threshold.
5. The method according to claim 1, wherein after the step of determining the network health score of the current base station according to the ratio of the sum of each of the first modulo-3 interference ratios and the sum of each of the second modulo-3 interference ratios, the method further comprises:
determining the maximum network health score from the network health scores of the current base station and the network health scores of other base stations;
and outputting priority maintenance information of a target base station according to the maximum network health score, wherein the target base station is the base station corresponding to the maximum network health score.
6. The method for determining the network health status according to any one of claims 1 to 5, wherein the step of obtaining the number of User Equipments (UEs) accessed by the current base station is preceded by:
acquiring minimization drive test data of UE (user equipment) accessed by each cell to be tested, and determining a simulation azimuth angle corresponding to each cell to be tested according to the minimization drive test data of each cell to be tested;
acquiring an operating parameter azimuth angle of each cell to be tested, and determining an included angle between a direction corresponding to a simulated azimuth angle of each cell to be tested and a direction corresponding to the operating parameter azimuth angle of each cell to be tested to obtain a plurality of sets, wherein each included angle in the sets corresponds to the same simulated azimuth angle;
determining the minimum included angle in each set;
and judging whether each cell to be detected comprises a cell with an antenna feedback connection feedback according to the cell to be detected to which the working parameter azimuth corresponding to each minimum included angle belongs, wherein the step of acquiring the number of the User Equipment (UE) accessed by the current base station is executed when each cell to be detected is judged to comprise the cell with the antenna feedback connection feedback.
7. The method according to claim 6, wherein the step of determining the simulated azimuth angle corresponding to each cell to be tested according to the mdt data of each cell to be tested comprises:
performing linear regression clustering on the position of each UE of each cell to be tested according to the transmitting power corresponding to the MDT data to obtain a fitting straight line corresponding to each cell to be tested;
determining the power weakening direction of the antenna of the current base station in the cell to be tested according to the corresponding fitting straight line of each cell to be tested;
and determining a simulation azimuth angle corresponding to each cell to be tested according to the power attenuation direction corresponding to each cell to be tested.
8. A network health status determination device, comprising:
the acquisition module is used for acquiring the number of User Equipment (UE) accessed by a current base station;
a determining module, configured to determine, according to the UE accessed by the current base station, a modulo-3 interference UE of each cell to be tested corresponding to the current base station, where each cell to be tested includes a cell with an antenna feedback connection feedback;
the determining module is configured to determine, according to a ratio between the number of the modulo-3 interference UEs of each cell to be measured and the number of the UEs, a first modulo-3 interference ratio when the antenna feeder of each cell to be measured is connected reversely and a second modulo-3 interference ratio when the antenna feeder of each cell to be measured is not connected reversely;
the determining module is configured to determine a network health score of the current base station according to a ratio of a sum of each first modulo-3 interference ratio to a sum of each second modulo-3 interference ratio, where the network health score is in a negative correlation with network performance.
9. A network health status determination device, comprising: a memory and a processor;
the memory stores computer-executable instructions;
the processor executing the computer-executable instructions stored by the memory causes the processor to perform the method of determining the health status of a network as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon computer-executable instructions for implementing the method of determining the health status of a network as claimed in any one of claims 1 to 7 when executed by a processor.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010053309A2 (en) * | 2008-11-07 | 2010-05-14 | 엘지전자 주식회사 | Reference signal transmitting method |
| CN105722114A (en) * | 2014-12-04 | 2016-06-29 | ***通信集团公司 | Method and apparatus for analyzing downlink interference of LTE network |
| US20180184344A1 (en) * | 2016-12-27 | 2018-06-28 | T-Mobile, U.S.A, Inc. | Lte cell level network coverage and performance auto optimization |
| CN109257125A (en) * | 2018-11-22 | 2019-01-22 | 中国联合网络通信集团有限公司 | A kind of detection method that base station antenna feeder is reversed and device |
| CN109561454A (en) * | 2018-11-27 | 2019-04-02 | 北京天元创新科技有限公司 | Network optimized approach and device |
| CN110649981A (en) * | 2019-09-25 | 2020-01-03 | 中国联合网络通信集团有限公司 | MOD3 interference processing method and equipment |
| CN112020005A (en) * | 2020-09-03 | 2020-12-01 | 中国联合网络通信集团有限公司 | Method, device and system for solving Long Term Evolution (LTE) network mode three-interference |
| WO2020256607A1 (en) * | 2019-06-20 | 2020-12-24 | Telefonaktiebolaget Lm Ericsson (Publ) | Network node and method in a wireless communications network |
-
2021
- 2021-09-03 CN CN202111034581.7A patent/CN113747481B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010053309A2 (en) * | 2008-11-07 | 2010-05-14 | 엘지전자 주식회사 | Reference signal transmitting method |
| CN105722114A (en) * | 2014-12-04 | 2016-06-29 | ***通信集团公司 | Method and apparatus for analyzing downlink interference of LTE network |
| US20180184344A1 (en) * | 2016-12-27 | 2018-06-28 | T-Mobile, U.S.A, Inc. | Lte cell level network coverage and performance auto optimization |
| CN109257125A (en) * | 2018-11-22 | 2019-01-22 | 中国联合网络通信集团有限公司 | A kind of detection method that base station antenna feeder is reversed and device |
| CN109561454A (en) * | 2018-11-27 | 2019-04-02 | 北京天元创新科技有限公司 | Network optimized approach and device |
| WO2020256607A1 (en) * | 2019-06-20 | 2020-12-24 | Telefonaktiebolaget Lm Ericsson (Publ) | Network node and method in a wireless communications network |
| CN110649981A (en) * | 2019-09-25 | 2020-01-03 | 中国联合网络通信集团有限公司 | MOD3 interference processing method and equipment |
| CN112020005A (en) * | 2020-09-03 | 2020-12-01 | 中国联合网络通信集团有限公司 | Method, device and system for solving Long Term Evolution (LTE) network mode three-interference |
Non-Patent Citations (2)
| Title |
|---|
| QIANGZE CHI; XIN ZHANG; DACHENG YANG: "Detection-assisted interference parameter estimation and interference cancellation for LTE-Advanced system", 《2016 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IC-NIDC)》 * |
| 李敏: "黑龙江联通LTE网络精准规划工程评估方案", 《通信管理与技术》 * |
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