CN114221717A - Base station antenna azimuth angle calibration method and device - Google Patents

Base station antenna azimuth angle calibration method and device Download PDF

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Publication number
CN114221717A
CN114221717A CN202111539683.4A CN202111539683A CN114221717A CN 114221717 A CN114221717 A CN 114221717A CN 202111539683 A CN202111539683 A CN 202111539683A CN 114221717 A CN114221717 A CN 114221717A
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data
base station
antenna
azimuth
determining
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CN114221717B (en
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史文祥
于长松
钟志刚
朱悦
周灿
冯秋明
郭云霄
石磊
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China United Network Communications Group Co Ltd
China Information Technology Designing and Consulting Institute Co Ltd
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China United Network Communications Group Co Ltd
China Information Technology Designing and Consulting Institute Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/10—Monitoring; Testing of transmitters
    • H04B17/11—Monitoring; Testing of transmitters for calibration
    • H04B17/12—Monitoring; Testing of transmitters for calibration of transmit antennas, e.g. of the amplitude or phase
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/20—Monitoring; Testing of receivers
    • H04B17/21—Monitoring; Testing of receivers for calibration; for correcting measurements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The application discloses a method and a device for calibrating an azimuth angle of a base station antenna, relates to the technical field of wireless communication, and is used for solving the problem of low accuracy of a calibration result of the azimuth angle of the base station antenna. The method comprises the following steps: acquiring an original azimuth angle of an antenna to be calibrated; acquiring sample data associated with an antenna to be calibrated, wherein the sample data comprises key performance indicators KPI for switching between a target cell and a neighboring cell, measurement report MR data containing an identifier of the target cell and MDT data; analyzing from a plurality of angles to respectively obtain judgment results; and comprehensively analyzing each judgment result to obtain the calibrated azimuth angle of the antenna. The method and the device are based on various data, multiple factors are considered for analysis, and accuracy of a calibration result can be improved. The method and the device can be used for calibrating the working parameter of the azimuth angle of the base station antenna.

Description

Base station antenna azimuth angle calibration method and device
Technical Field
The present application relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for calibrating an azimuth angle of a base station antenna.
Background
The network optimization needs to be based on engineering parameters (abbreviated as "engineering parameters") of the base station, and therefore, the accuracy of the engineering parameters of the base station affects the network optimization result. In practical application, a large amount of new and adjusted parameters of the base station need to be calibrated accurately in time.
The parameters of the base station include the antenna azimuth. Currently, the method for calibrating the azimuth angle of the antenna of the base station collects data of a single data source associated with the base station from a database, and performs analysis according to the collected data to obtain a calibration result of the azimuth angle of the antenna of the base station. However, when the analysis is performed based on a single data source, there is a problem of low accuracy due to a low sample ratio or a single consideration. For example, when the data source is single Measurement Report (MR) data, only the strength of the signal is considered, but the position with the strongest signal is not necessarily the position with the densest user, so that the accuracy of the calibration result is affected due to the single consideration.
Disclosure of Invention
The application provides a method and a device for calibrating an azimuth angle of a base station antenna, which are used for solving the problem of low accuracy of a calibration result of the azimuth angle of the base station antenna.
In order to achieve the purpose, the following technical scheme is adopted in the application.
In a first aspect, the present application provides a method for calibrating an azimuth angle of a base station antenna, including: acquiring an original azimuth angle of an antenna to be calibrated; acquiring sample data associated with a target cell, wherein the sample data associated with the target cell comprises Key Performance Indicators (KPIs) for switching between the target cell and a neighboring cell, Measurement Report (MR) data including an identifier of the target cell, and minimization of drive-tests (MDT) data, and the target cell is a cell covered by an antenna to be calibrated. Analyzing according to the target cell and the neighbor cell switching KPI to obtain a judgment result based on the neighbor cell switching KPI; and analyzing according to the MR data and the MDT data to obtain a judgment result based on user distribution. And correcting the original azimuth angle of the antenna to be calibrated according to the judgment result based on the adjacent cell switching KPI and the judgment result based on the user distribution to obtain the calibrated azimuth angle.
The method comprises the steps of judging azimuth angles from two angles of adjacent interval switching and user distribution respectively, and then carrying out comprehensive analysis on each judgment result to obtain a final calibration result.
In a possible implementation manner, analyzing according to a target cell and a neighbor cell handover KPI to obtain a judgment result based on the neighbor cell handover KPI includes: determining a switching close neighbor base station of a target cell, wherein the switching close neighbor base station is a neighbor base station corresponding to a neighbor cell of which the switching times of the target cell is greater than a corresponding preset threshold value; respectively determining the azimuth angle of each switching close adjacent base station relative to a target base station, wherein the target base station is the base station where the antenna to be calibrated is located; taking the average value alpha of the azimuth angles of all the switching close neighbor base stations relative to the target base station as a first estimated azimuth angle; determining the angle difference theta between the original azimuth angle and the first estimated azimuth angle of the antenna to be calibrated1. Accordingly, if the angle difference θ1If the difference value is larger than the first angle difference value threshold, determining that the judgment result based on the KPI (Kelvin indicator) switching of the adjacent cells is abnormal in azimuth angleTaking the first estimated azimuth as an estimated azimuth based on the neighbor cell switching KPI; if the angle difference theta1And if the difference value is less than or equal to the first angle difference threshold, determining that the azimuth is normal based on the judgment result of the adjacent cell switching KPI.
Illustratively, determining a handover close neighbor base station corresponding to the target cell includes: determining a first number of adjacent cells of which the switching times with the target cell are larger than a corresponding preset threshold according to the KPI for switching the target cell and the adjacent cells; removing cells belonging to the same base station as the target cell from the first number of adjacent cells to obtain a second number of adjacent cells; and determining the base station corresponding to each adjacent cell in the second number of adjacent cells as a switching close adjacent base station corresponding to the target cell.
In the implementation mode, the antenna azimuth angle is analyzed from the switching relation between the target cell and the adjacent cell, an analysis angle considering the switching relation between adjacent cells is provided, and the accuracy of a final calibration result is improved.
In one possible implementation, the MR data and the MDT data include reference signal received power, RSRP, and location information. Analyzing according to the MR data and the MDT data to obtain a judgment result based on user distribution, wherein the judgment result comprises the following steps: dividing a circumference of 360 degrees into a plurality of sectors every n degrees by taking the position of a target base station as a center; determining a sector in which each MR data and each MDT data is positioned according to the position information in each MR data and each MDT data; determining a weighted average of RSRPs corresponding to all MR data and MDT data located within each sector; determining the central direction azimuth angle beta of the target fan as a second estimated azimuth angle; the target sector is the sector with the maximum weighted average value of the RSRP in the target cell; determining the angle difference theta between the original azimuth angle and the second estimated azimuth angle of the antenna to be calibrated2(ii) a If the angle difference theta2If the difference value is larger than the second angle difference value threshold, determining that the judgment result based on the user distribution is abnormal, and taking the second estimated azimuth as the estimated azimuth based on the user distribution; if the angle difference theta2And if the difference value is less than or equal to the second angle difference value threshold, determining that the azimuth is normal based on the judgment result of the user distribution.
Optionally, determining a weighted average of RSRPs corresponding to all MR data and MDT data located in each sector includes: dividing a preset number of distance bands at intervals according to a preset distance by taking the position of a target base station as a center; determining a distance zone in which each of the MR data and the MDT data is located based on the position information contained in the MR data and the MDT data; and determining a weighted average value of the RSRPs corresponding to all the MR data and the MDT data in the same sector according to the preset weight coefficient of the distance zone in which each MR data and MDT data is positioned and the RSRP contained in each MR data and MDT data.
Illustratively, the preset weight coefficients, the RSRP, and the weighted average of the RSRPs corresponding to all MR data and MDT data located in each of the sectors satisfy the following relationship:
Figure BDA0003413600490000031
wherein avg (j) is the weighted average value of RSRP corresponding to all MR data and MDT data in the sector j, the value range of j is 1-360/n, and n is the degree of the central angle of the sector; wiThe weighting coefficient is preset in a distance zone where the ith MR data or MDT data in the sector j is located, and the value range of i is a natural number which is more than or equal to 1; RSRPiThe RSRP corresponding to the ith MR data or MDT data in the sector j; and m is the total number of MR data and MDT data within the corresponding sector.
In the implementation mode, the process of analyzing according to the MR data and the MDT data to obtain the judgment result based on the user distribution is to analyze the azimuth angle of the base station antenna from the user distribution angle and in consideration of the reference signal strength information, so that the accuracy of the calibration result can be improved.
In a possible implementation manner, correcting an original azimuth of an antenna to be calibrated according to a judgment result based on a neighbor cell switching KPI and a judgment result based on user distribution to obtain a calibrated azimuth, including: determining the priority sequence of the judgment result based on the neighbor cell switching KPI and the judgment result based on the user distribution according to the accuracy of the judgment result; when any judgment result is that the azimuth is abnormal, determining that the final judgment result aiming at the original azimuth of the antenna to be calibrated is that the azimuth is abnormal, and taking the estimated azimuth corresponding to the judgment result with high priority as the calibrated azimuth in the judgment result with the abnormal judgment result; and when all the judgment results are normal, determining that the final judgment result of the original azimuth angle of the antenna to be calibrated is normal.
Optionally, the priority of the determination result based on the user distribution is higher than that of the determination result based on the neighbor cell switching KPI. For example, the judgment result based on the neighboring cell switching KPI and the judgment result based on the user distribution are both azimuth angle anomalies, and the azimuth angle calibration result based on the user distribution is taken as the azimuth angle after the antenna calibration.
In the implementation mode, according to the judgment result based on the neighbor cell switching KPI and the judgment result based on the user distribution, the process of correcting the original azimuth angle of the antenna to be calibrated is based on multiple data, the limitation caused by insufficient or over-concentrated samples of a data source is small, the analysis is carried out by considering multiple factors, and compared with the scheme of obtaining the azimuth angle of the antenna based on a single data source, the accuracy of the calibration result is higher.
In a second aspect, the present application provides a base station antenna azimuth calibration apparatus. The base station antenna azimuth calibration apparatus may be configured to perform the method according to the first aspect or any one of the possible implementations of the first aspect.
According to the second aspect, in a first possible implementation manner of the second aspect, the base station antenna azimuth angle calibration apparatus may be divided into functional modules according to any one of the methods provided in the first aspect to the first aspect. For example, each functional unit may be divided for each function, or two or more functions may be integrated into one processing unit.
In a third aspect, the present application provides a server comprising a memory and a processor. The memory is coupled to the processor. The memory is for storing computer instructions. When executed by a processor, the computer instructions cause a server to perform a method as described in any one of the possible implementations of the first aspect to the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium comprising computer instructions that, when executed in a server, cause the server to perform the method according to any one of the possible implementations of the first aspect to the first aspect.
In a fifth aspect, the present application provides a computer program product comprising computer instructions that, when executed on a server, cause the server to perform the method according to any one of the possible implementations of the first aspect.
For technical effects brought by any design of the second aspect to the fifth aspect in the present application, reference may be made to technical effects brought by the method corresponding to the first aspect, and details are not described herein again.
These and other aspects of the present application will be more readily apparent from the following description.
Drawings
Fig. 1 is a schematic structural diagram of a server according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for calibrating an azimuth angle of a base station antenna according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of a method for determining an antenna azimuth based on a neighboring cell handover KPI according to an embodiment of the present application;
fig. 4a and fig. 4b are schematic diagrams of switching between close neighboring bss and a first estimated azimuth according to an embodiment of the present application;
fig. 5 is a schematic flowchart of a method for determining an antenna azimuth based on user distribution according to an embodiment of the present application;
FIG. 6 is an angle difference diagram of an original azimuth angle and a second estimated azimuth angle of an antenna to be calibrated according to an embodiment of the present application;
fig. 7 is a schematic flowchart of a method for comprehensively analyzing a determination result and calibrating an azimuth according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a base station antenna azimuth angle calibration apparatus according to an embodiment of the present application.
Detailed Description
The following describes a method and an apparatus for calibrating an azimuth angle of a base station antenna provided in the present application in detail with reference to the accompanying drawings.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" and the like in the description and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
As described in the background art, in a real-world situation, azimuth angles of a large number of base station antennas need to be calibrated, and at present, there is a method for calibrating an antenna azimuth angle by collecting data through a database. In the method, azimuth angles are checked based on measurement report MR data, and simulated azimuth angles are output, but the azimuth with the strongest signal is not necessarily the position with the densest users, and user distribution is one of important considerations for current network planning and optimization.
For another example, the MDT data in the serving cell of the target base station is obtained through the database; and confirming whether the working parameters of the current azimuth angle of the target base station antenna are wrong or not based on the consistency check of the sector azimuth angle of the target base station antenna and the MDT data. The method adopts single MDT data, and the proportion of the terminal supporting MDT reporting at present in the users in the whole network is low, so that the problem of low accuracy of a calibration result caused by low sample proportion exists.
In order to solve the above problems in the current method for calibrating the azimuth angle of the base station antenna, embodiments of the present application provide a method for calibrating the azimuth angle of the base station antenna, which determines the azimuth angle of the base station antenna from multiple angles based on multiple data sources, and performs comprehensive analysis on each determination result to obtain a final azimuth angle calibration result.
The method for calibrating the azimuth angle of the base station antenna provided by the embodiment of the present application can be implemented by the server 100 shown in fig. 1. As shown in fig. 1, the server 100 includes: one or more processors 110, one or more external memories 120, and one or more communication interfaces 130.
The processor 110, the external memory 120, and the communication interface 130 are connected by a bus. The processor 110 may include a general processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), an integrated circuit for controlling the execution of programs according to the present disclosure, and the like.
In general, the processor 110 may have internal memory disposed therein and may be used to store computer-executable program code, including instructions. The internal memory may include a program storage area and a data storage area. The storage program area may store an operating system, application program codes, and the like. In some examples, the storage data area stores the obtained original azimuth of the antenna to be calibrated of the target base station, a key performance indicator KPI for handover between the target cell and the neighboring cell, measurement report MR data including an identifier of the target cell, and minimization of drive test MDT data.
In addition, the internal memory may include a high-speed random access memory, and may further include a nonvolatile memory, such as at least one of a magnetic disk storage device, a flash memory device, a universal flash memory (UFS), and the like. The processor 110 executes various functional applications of the server and data processing by executing instructions stored in the internal memory. In one example, the processor 110 may also include multiple CPUs, and the processor 110 may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, or processing cores that process data (e.g., computer program instructions).
A communication interface 130, which may be used to communicate with other devices or communication networks.
It is to be understood that the illustrated structure of the embodiment of the present application does not specifically limit the server 100. In other embodiments of the present application, the server 100 may include more or fewer components than shown, or combine certain components, or split certain components, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
An embodiment of the present application provides a method for calibrating an azimuth angle of a base station antenna, which may be performed by a server shown in fig. 1, and as shown in fig. 2, the method includes the following steps:
s201, acquiring an original azimuth angle of the antenna to be calibrated.
The original azimuth angle is the azimuth angle of the antenna to be calibrated, which is obtained from the base station parameter database before calibration.
S202, sample data associated with the antenna to be calibrated is obtained.
The sample data associated with the antenna to be calibrated can be obtained from a database, and includes key performance indicators KPI for switching between a target cell and a neighboring cell, measurement report MR data including an identifier of the target cell, and Minimization of Drive Test (MDT) data, where the target cell is a cell covered by the antenna to be calibrated.
The KPI refers to a network key performance index, and the KPI is a key performance index for switching between the target cell and the neighboring cell, i.e. the number of times of switching telephone traffic between the target cell and the neighboring cell.
The acquired information of each MR data and MDT data should include position information and Reference Signal Receiving Power (RSRP).
S203, analyzing according to the target cell and the neighbor cell switching KPI to obtain a judgment result based on the neighbor cell switching KPI; and analyzing according to the MR data and the MDT data to obtain a judgment result based on user distribution.
S204, correcting the original azimuth angle of the antenna to be calibrated according to the judgment result based on the neighbor cell switching KPI and the judgment result based on the user distribution to obtain the calibrated azimuth angle.
Wherein the above S201 to S204 can be executed by the processor 110 shown in fig. 1.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects: compared with the calibration result obtained based on a single data source, the method has small limitation caused by insufficient or excessively concentrated samples of the data source, and can improve the accuracy of the calibration result.
Optionally, as shown in fig. 3, in S203, analyzing according to the target cell and the neighboring cell handover KPI to obtain a determination result based on the neighboring cell handover KPI, which may be specifically implemented as:
s301, determining a switching close neighbor base station of the target cell, wherein the switching close neighbor base station is a neighbor base station corresponding to a neighbor cell of which the switching frequency of the target cell is greater than a corresponding preset threshold value.
Specifically, a first number of neighbor cells with the target cell switching times larger than a corresponding preset threshold are determined according to the KPI for switching the target cell and the neighbor cells, cells belonging to the same base station as the target cell are removed from the first number of neighbor cells to obtain a second number of neighbor cells, and a base station corresponding to each neighbor cell in the second number of neighbor cells is determined as a switching close neighbor base station corresponding to the target cell.
And switching the KPI between the target cell and the adjacent cell, namely switching the telephone traffic between the target cell and the adjacent cell. The neighbor cell having the number of handovers greater than the corresponding preset threshold with the target cell may also be the neighbor cell having the number of handovers in the first few digits. The first number may be set as desired.
It should be noted that, the values of the first number in the single carrier scenario and the multi-carrier scenario are different, for example, the value of the first number in the single carrier scenario is 5, the value of the first number in the dual carrier scenario is 10, and the value of the first number in the three-carrier scenario and above is 15.
S302, respectively determining the azimuth angle of each switching close neighbor base station relative to the target base station.
The target base station is a base station where the antenna to be calibrated is located.
S303, taking the average value alpha of the azimuth angles of each switching close neighbor base station relative to the target base station as a first estimation azimuth angle.
Wherein, an appropriate coordinate system should be established as appropriate when calculating the average value of the azimuth angles.
Illustratively, as shown in fig. 4a, if the handover close neighbor base station A, B, C has a true north direction of 0 degree and increases in angle in the clockwise direction, and the azimuth angles of the handover close neighbor base station A, B, C with respect to the target base station are 10 degrees, 15 degrees and 35 degrees, respectively, then the average value α of the azimuth angles of the handover close neighbor base station A, B, C with respect to the target base station is 20 degrees, that is, the first estimated azimuth angle is 20 degrees north-east;
illustratively, as shown in fig. 4b, the switching close neighbor base station D, E, F has an increasing angle in the clockwise direction with 0 degrees in the positive west direction, and the azimuth angles of the switching close neighbor base station D, E, F with respect to the target base station are 85 degrees, 105 degrees, and 140 degrees, respectively, then the average value α of the azimuth angles of the switching close neighbor base station D, E, F with respect to the target base station is 110 degrees, that is, the first estimated azimuth angle is 20 degrees north east.
S304, determining the angle difference theta between the original azimuth angle and the first estimated azimuth angle of the antenna to be calibrated1。
Optionally, the original azimuth angle of the antenna to be calibrated is θ.
When theta is>Alpha and theta-alpha<At 180 deg., theta1＝θ-α；
When theta is>When alpha and theta-alpha are more than or equal to 180 degrees, theta1＝360°-(θ-α)；
When theta is less than or equal to alpha and alpha-theta<At 180 deg., theta1＝α-θ；
When theta is less than or equal to alpha and alpha-theta is more than or equal to 180 degrees, theta1＝360°-(α-θ)。
S305, determining the angle difference theta1And if the difference value is larger than the first angle difference value threshold, determining that the judgment result based on the KPI is abnormal, and taking the first estimated azimuth as the estimated azimuth based on the KPI.
S306, determining the angle difference theta1And if the difference value is less than or equal to the first angle difference threshold, determining that the azimuth is normal based on the judgment result of the adjacent cell switching KPI.
Wherein, the first angle difference threshold may be set according to the requirement, for example, 40 degrees.
Wherein the above S301 to S306 can be executed by the processor 110 shown in fig. 1.
The process of analyzing according to the target cell and the neighbor cell switching KPI to obtain the judgment result based on the neighbor cell switching KPI analyzes the antenna azimuth angle from the target cell and the neighbor cell switching relation, provides an analysis angle considering the switching relation between the neighbor cells, and improves the accuracy of the final calibration result.
Optionally, as shown in fig. 5, in S203, the MR data and the MDT data include reference signal received power RSRP and location information, and a determination result based on user distribution is obtained by analyzing the MR data and the MDT data, which may be specifically implemented as:
s501, taking the position of the target base station as a center, and dividing a 360-degree circumference into a plurality of sectors every n degrees.
And S502, determining the sector in which each MR data and each MDT data are positioned according to the position information in each MR data and each MDT data.
And S503, determining the weighted average value of the RSRP corresponding to all the MR data and the MDT data in each sector.
For example, determining a weighted average of RSRPs corresponding to all MR data and MDT data located in each sector includes: dividing a preset number of distance bands according to a preset distance interval by taking the position of a target base station as a center, determining the distance band where each MR data and each MDT data are located based on position information contained in the MR data and the MDT data, and determining a weighted average value of RSRPs corresponding to all the MR data and the MDT data located in the same sector according to a preset weight coefficient of the distance band where each MR data and each MDT data are located and the RSRPs contained in each MR data and each MDT data.
Specifically, the preset weighting coefficient, the RSRP, and the weighted average of the RSRPs corresponding to all MR data and MDT data located in each sector satisfy the following formula:
Figure BDA0003413600490000091
wherein avg (j) is the weighted average value of RSRP corresponding to all MR data and MDT data in the sector j, the value range of j is 1-360/n, and n is the degree of the central angle of the sector; wiThe weighting coefficient is preset in a distance zone where the ith MR data or MDT data in the sector j is located, and the value range of i is a natural number which is more than or equal to 1; RSRPiThe RSRP corresponding to the ith MR data or MDT data in the sector j; and m is the total number of MR data and MDT data within the corresponding sector.
Considering the shadow coverage under the base station tower and the characteristics of the wireless signal fading in the near-strong and far-weak, the weighting coefficients of the respective distance bands can be shown as the following table, for example:
watch 1
Range of sample to base station distance d (unit: meter) Weight coefficient w
0≤d≤50 0.2
50<d≤100 0.4
100<d≤150 0.8
150<d≤200 0.8
200<d≤250 1
250<d≤300 1
300<d≤350 1
350<d≤400 1
400<d≤450 1
450<d≤500 1
500<d≤550 1
550<d≤600 1
600<d≤650 1
650<d≤700 1
700<d≤750 1
750<d≤800 1
800<d≤850 0.8
850<d≤900 0.8
900<d≤1600 0.8
d>1600 0.2
S504, determining the central direction azimuth angle beta of the target fan as a second estimated azimuth angle; the target sector is the sector with the maximum weighted average value of the RSRP in the target cell.
The central direction of the fan shape is the angular bisector direction of the central angle of the fan shape.
S505, determining the angle difference theta between the original azimuth angle and the second estimated azimuth angle of the antenna to be calibrated2。
Optionally, the original azimuth angle of the antenna to be calibrated is θ.
When theta is>Beta and theta-beta<At 180 deg., theta2＝θ-β；
When theta is>Beta and theta-beta is not less than 180 DEG, theta2＝360°-(θ-β)；
When theta is less than or equal to beta and beta-theta<At 180 deg., theta2＝β-θ；
When theta is less than or equal to beta and beta-theta is more than or equal to 180 degrees, theta2＝360°-(β-θ)。
For example, as shown in fig. 6, when n is 5, and the sector with the largest weighted average RSRP among the sectors in the target cell is sector 4, the angle difference between the original azimuth angle and the second estimated azimuth angle of the antenna to be calibrated is θ2。
S506, determining the angle difference theta2And if the difference value is larger than the second angle difference value threshold, determining that the judgment result based on the user distribution is abnormal, and taking the second estimated azimuth as the estimated azimuth based on the user distribution.
S507, determining the angle difference theta2And if the difference value is less than or equal to the second angle difference value threshold, determining that the azimuth is normal based on the judgment result of the user distribution.
In practical application, abnormal conditions may exist in the position information and the level information of the MR data and the MDT data, which greatly affect the subsequent analysis, and therefore abnormal value processing is performed on the data.
Therefore, optionally, before S501, the method further includes: preprocessing the MR data and the MDT data to remove abnormal data.
Wherein the above S501-S507 can be executed by the processor 110 shown in fig. 1.
The process of analyzing according to the MR data and the MDT data to obtain the judgment result based on the user distribution analyzes the azimuth angle of the base station antenna from the user distribution angle in consideration of the reference signal strength information, and can improve the accuracy of the calibration result.
Optionally, as shown in fig. 7, in S204, the original azimuth of the antenna to be calibrated is corrected according to the determination result based on the neighboring cell switching KPI and the determination result based on the user distribution, so as to obtain a calibrated azimuth, which may be specifically implemented as:
s701, determining the priority sequence of the judgment result based on the neighbor cell switching KPI and the judgment result based on the user distribution according to the accuracy of the judgment result.
Optionally, the priority of the determination result based on the user distribution is higher than that of the determination result based on the neighbor cell switching KPI.
S702, when any judgment result is that the azimuth is abnormal, determining that the final judgment result aiming at the original azimuth of the antenna to be calibrated is abnormal, and taking the estimated azimuth corresponding to the judgment result with high priority as the calibrated azimuth in the judgment result with abnormal judgment result.
For example, the determination result may be as shown in the following table:
watch two
Figure BDA0003413600490000111
As shown in table two, the determination result based on the neighboring cell switching KPI and the determination result based on the user distribution are both azimuth angle anomalies, and the azimuth angle calibration result based on the user distribution is used as the azimuth angle after the antenna calibration.
And S703, when all the judgment results are normal, determining that the final judgment result of the original azimuth angle of the antenna to be calibrated is normal.
The above S701 to S703 may be executed by the processor 110 shown in fig. 1.
The process of correcting the original azimuth angle of the antenna to be calibrated according to the judgment result based on the neighbor cell switching KPI and the judgment result based on the user distribution is based on multiple data, has small limitations due to insufficient or over-concentrated samples of a data source and the like, considers multiple factors for analysis, and has higher accuracy of the calibration result compared with a scheme of obtaining the azimuth angle of the antenna based on a single data source.
According to the method and the device, the azimuth angles of the antennas can be judged in batches by obtaining the original azimuth angles of the antennas to be calibrated and the associated data in batches, and therefore calibration efficiency is improved.
The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the server may be divided into the functional modules according to the method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Illustratively, as shown in fig. 8, an embodiment of the present application provides a base station antenna azimuth calibration apparatus 800, including:
an obtaining unit 801, configured to obtain an original azimuth of an antenna to be calibrated of a target base station; and the method is also used for acquiring sample data associated with the antenna to be calibrated, wherein the sample data associated with the antenna to be calibrated comprises key performance indicators KPI for switching between the target cell and the adjacent cell, measurement report MR data containing the identifier of the target cell and MDT data.
A processing unit 802, configured to analyze a target cell and a neighbor cell switching KPI to obtain a determination result based on the neighbor cell switching KPI; and analyzing according to the MR data and the MDT data to obtain a judgment result based on user distribution.
The processing unit 802 is further configured to correct the original azimuth angle of the antenna to be calibrated according to the determination result based on the neighboring cell switching KPI and the determination result based on the user distribution, so as to obtain a calibrated azimuth angle.
In a possible implementation manner, the processing unit 802 is specifically configured to: determining a switching close neighbor base station of a target cell, wherein the switching close neighbor base station is a neighbor base station corresponding to a neighbor cell of which the switching times of the target cell is greater than a corresponding preset threshold value; respectively determining the azimuth angle of each switching close neighbor base station relative to the target base station; taking the average value alpha of the azimuth angles of all the switching close neighbor base stations relative to the target base station as a first estimated azimuth angle; determining the angle difference theta between the original azimuth angle and the first estimated azimuth angle of the antenna to be calibrated1. Accordingly, if the angle difference θ1If the difference value is larger than the first angle difference value threshold, determining that the judgment result based on the KPI is abnormal, and taking the first estimated azimuth as the estimated azimuth based on the KPI; if the angle difference theta1And if the difference value is less than or equal to the first angle difference threshold, determining that the azimuth is normal based on the judgment result of the adjacent cell switching KPI.
The processing unit 802 is specifically configured to: determining a first number of adjacent cells of which the switching times with the target cell are larger than a corresponding preset threshold according to the KPI for switching the target cell and the adjacent cells; removing cells belonging to the same base station as the target cell from the first number of adjacent cells to obtain a second number of adjacent cells; and determining the base station corresponding to each adjacent cell in the second number of adjacent cells as a switching close adjacent base station corresponding to the target cell.
In one possible implementation, the MR data and the MDT data include reference signal received power, RSRP, and location information.
The processing unit 802 is specifically configured to: dividing a circumference of 360 degrees into a plurality of sectors every n degrees by taking the position of a target base station as a center; determining a sector in which each MR data and each MDT data is positioned according to the position information in each MR data and each MDT data; determining bitsA weighted average of RSRPs corresponding to all MR data and MDT data within each sector; determining the central direction azimuth angle beta of the target fan as a second estimated azimuth angle; the target sector is the sector with the maximum weighted average value of the RSRP in the target cell; determining the angle difference theta between the original azimuth angle and the second estimated azimuth angle of the antenna to be calibrated2(ii) a If the angle difference theta2If the difference value is larger than the second angle difference value threshold, determining that the judgment result based on the user distribution is abnormal, and taking the second estimated azimuth as the estimated azimuth based on the user distribution; if the angle difference theta2And if the difference value is less than or equal to the second angle difference value threshold, determining that the azimuth is normal based on the judgment result of the user distribution.
The processing unit 802 is specifically configured to: dividing a preset number of distance bands at intervals according to a preset distance by taking the position of a target base station as a center; determining a distance zone in which each of the MR data and the MDT data is located based on the position information contained in the MR data and the MDT data; and determining a weighted average value of the RSRPs corresponding to all the MR data and the MDT data in the same sector according to the preset weight coefficient of the distance zone in which each MR data and MDT data is positioned and the RSRP contained in each MR data and MDT data.
Illustratively, the preset weight coefficients, the RSRP, and the weighted average of the RSRPs corresponding to all MR data and MDT data located in each of the sectors satisfy the following relationship:
Figure BDA0003413600490000131
wherein avg (j) is the weighted average value of RSRP corresponding to all MR data and MDT data in the sector j, the value range of j is 1-360/n, and n is the degree of the central angle of the sector; wiThe preset weight coefficient is a distance zone where the ith MR data or MDT data in the sector j is located, and the value range of i is a natural number which is more than or equal to 1; RSRPiThe RSRP corresponding to the ith MR data or MDT data in the sector j; and m is the total number of MR data and MDT data within the corresponding sector.
In a possible implementation manner, the processing unit 802 is specifically configured to: determining the priority sequence of the judgment result based on the neighbor cell switching KPI and the judgment result based on the user distribution according to the accuracy of the judgment result; when any judgment result is that the azimuth is abnormal, determining that the final judgment result aiming at the original azimuth of the antenna to be calibrated is that the azimuth is abnormal, and taking the estimated azimuth corresponding to the judgment result with high priority as the calibrated azimuth in the judgment result with the abnormal judgment result; and when all the judgment results are normal, determining that the final judgment result of the original azimuth angle of the antenna to be calibrated is normal.
The base station antenna azimuth angle calibration device provided by the embodiment of the application is used for respectively judging azimuth angles from two angles of adjacent interval switching and user distribution by acquiring the original azimuth angle and associated data of an antenna to be calibrated, and then comprehensively analyzing each judgment result to obtain a final calibration result.
An embodiment of the present application further provides a server, including: a memory and a processor; the memory is for storing a computer program, and the processor is for invoking the computer program to perform the actions or steps mentioned in any of the embodiments provided above.
Embodiments of the present application also provide a computer-readable storage medium, which stores a computer program, and when the computer program runs on a server, the computer program causes the server to perform the actions or steps mentioned in any of the embodiments provided above.
The embodiment of the application also provides a chip. The chip integrates a circuit and one or more interfaces for realizing the functions of the base station antenna azimuth angle calibration device. Optionally, the functions supported by the chip may include processing actions in the embodiments described based on fig. 2, fig. 3, fig. 5, and fig. 7, which are not described herein again. Those skilled in the art will appreciate that all or part of the steps for implementing the above embodiments may be implemented by a program instructing the associated hardware to perform the steps. The program may be stored in a computer-readable storage medium. The above-mentioned storage medium may be a read-only memory, a random access memory, or the like. The processing unit or processor may be a central processing unit, a general purpose processor, an Application Specific Integrated Circuit (ASIC), a microprocessor (DSP), a Field Programmable Gate Array (FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof.
Embodiments of the present application further provide a computer program product containing instructions, which when executed on a server, cause the server to perform any one of the methods in the foregoing embodiments. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the application result, in whole or in part, when the computer program instructions are loaded and executed on a server. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer-readable storage media can be any available media that can be accessed by a computer or can comprise one or more data storage devices, such as servers, data centers, and the like, that can be integrated with the media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that the above devices for storing computer instructions or computer programs provided in the embodiments of the present application, such as, but not limited to, the above memories, computer readable storage media, communication chips, and the like, are all nonvolatile (non-volatile).
Other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the present application has been described in conjunction with specific features and embodiments thereof, various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application.

Claims (16)

1. A method for calibrating an azimuth angle of a base station antenna comprises the following steps:
acquiring an original azimuth angle of an antenna to be calibrated;
acquiring sample data associated with the antenna to be calibrated, wherein the sample data associated with the antenna to be calibrated comprises Key Performance Indicators (KPIs) for switching between a target cell and a neighboring cell, Measurement Report (MR) data containing an identifier of the target cell and MDT data; the target cell is a cell covered by the antenna to be calibrated;
analyzing according to the target cell and neighbor cell switching KPI to obtain a judgment result based on the neighbor cell switching KPI; analyzing according to the MR data and the MDT data to obtain a judgment result based on user distribution;
and correcting the original azimuth angle of the antenna to be calibrated according to the judgment result based on the neighbor cell switching KPI and the judgment result based on the user distribution to obtain a calibrated azimuth angle.
2. The method of claim 1, wherein the analyzing according to the target cell and neighbor cell handover KPI to obtain a result of the determination based on the neighbor cell handover KPI comprises:
determining a switching close neighbor base station of a target cell, wherein the switching close neighbor base station is a neighbor base station corresponding to a neighbor cell of which the switching times of the target cell is greater than a corresponding preset threshold value;
respectively determining the azimuth angle of each switching close neighbor base station relative to a target base station, wherein the target base station is the base station where the antenna to be calibrated is located;
taking the average value a of the azimuth angles of the switching close neighbor base stations relative to the target base station as a first estimated azimuth angle;
determining an angle difference theta between the original azimuth angle of the antenna to be calibrated and the first estimated azimuth angle1；
If the angle difference theta1If the difference value is larger than a first angle difference value threshold, determining that the judgment result based on the KPI is abnormal, and taking the first estimated azimuth as an estimated azimuth based on the KPI;
if the angle difference theta1And if the difference value is less than or equal to the first angle difference threshold, determining that the judgment result based on the KPI is normal in azimuth.
3. The method of claim 2, wherein the determining the handover-close neighbor base station corresponding to the target cell comprises:
determining a first number of adjacent cells of which the switching times with the target cell are larger than a corresponding preset threshold according to the KPI for switching the target cell and the adjacent cells;
removing cells belonging to the same base station as the target cell from the first number of adjacent cells to obtain a second number of adjacent cells;
and determining the base station corresponding to each adjacent cell in the second number of adjacent cells as the switching close adjacent base station corresponding to the target cell.
4. The base station antenna azimuth calibration method according to claim 1, wherein the MR data and the MDT data comprise reference signal received power, RSRP, and location information;
the analyzing according to the MR data and the MDT data to obtain a judgment result based on user distribution includes:
dividing a 360-degree circumference into a plurality of sectors every n degrees by taking the position of a target base station as a center, wherein the target base station is a base station where the antenna to be calibrated is located;
determining a sector in which each of the MR data and the MDT data is located according to the position information in each of the MR data and the MDT data; determining a weighted average of the RSRP for all of the MR data and MDT data located within each of the sectors;
determining the central direction azimuth angle beta of the target fan as a second estimated azimuth angle; wherein the target sector is a sector with the largest weighted average of the RSRP in the target cell;
determining an angle difference theta between the original azimuth angle of the antenna to be calibrated and the second estimated azimuth angle2；
If the angle difference theta2If the difference value is larger than a second angle difference value threshold, determining that the judgment result based on the user distribution is abnormal, and taking the second estimated azimuth as an estimated azimuth based on the user distribution;
if the angle difference theta2And if the difference value is less than or equal to the second angle difference value threshold, determining that the judgment result based on the user distribution is that the azimuth is normal.
5. The method of claim 4, wherein said determining a weighted average of said RSRP for all MR data and MDT data located within each said sector comprises:
dividing a preset number of distance bands at intervals according to a preset distance by taking the position of the target base station as a center;
determining a distance zone in which each of the MR data and the MDT data is located based on position information contained in the MR data and the MDT data;
and determining a weighted average value of the RSRPs corresponding to all the MR data and the MDT data in the same sector according to a preset weight coefficient of a distance zone in which each piece of the MR data and the MDT data is positioned and the RSRP contained in each piece of the MR data and the MDT data.
6. The method according to any of claims 4-5, wherein the preset weight coefficients, the RSRP, and the weighted average of the RSRP for all the MR data and MDT data located within each sector satisfy the following relationship:
Figure FDA0003413600480000021
wherein avg (j) is a weighted average value of the RSRP corresponding to all the MR data and MDT data located in a sector j, the range of j is 1-360/n, and n is the degree of the central angle of the sector; wiA preset weight coefficient of a distance zone where the ith MR data or MDT data in the sector j is located is obtained, and the value range of i is a natural number which is more than or equal to 1; RSRPiThe RSRP corresponding to the ith MR data or MDT data in the sector j; m is the total number of the MR data and MDT data within the corresponding sector.
7. The method according to any one of claims 1 to 5, wherein the correcting an original azimuth of the antenna to be calibrated according to the determination result based on the neighbor cell switching KPI and the determination result based on the user distribution to obtain a calibrated azimuth comprises:
determining the priority sequence of the judgment result based on the neighbor cell switching KPI and the judgment result based on the user distribution according to the accuracy of the judgment result;
when any one judgment result is that the azimuth is abnormal, determining that the final judgment result aiming at the original azimuth of the antenna to be calibrated is abnormal, and taking the estimated azimuth corresponding to the judgment result with high priority in the judgment result with abnormal judgment result as the calibrated azimuth;
and when all the judgment results are normal, determining that the final judgment result of the original azimuth angle of the antenna to be calibrated is normal.
8. An apparatus for calibrating an azimuth angle of a base station antenna, comprising:
the device comprises an acquisition unit, a calibration unit and a calibration unit, wherein the acquisition unit is used for acquiring an original azimuth angle of an antenna to be calibrated of a target base station;
the acquiring unit is further configured to acquire sample data associated with the antenna to be calibrated, where the sample data associated with the antenna to be calibrated includes a key performance indicator KPI for handover between a target cell and a neighboring cell, measurement report MR data including an identifier of the target cell, and Minimization of Drive Test (MDT) data; the target cell is a cell covered by the antenna to be calibrated;
the processing unit is used for analyzing according to the target cell and the neighbor cell switching KPI acquired by the acquisition unit to obtain a judgment result based on the neighbor cell switching KPI; analyzing according to the MR data and the MDT data acquired by the acquisition unit to obtain a judgment result based on user distribution;
and the processing unit is further configured to correct the original azimuth angle of the antenna to be calibrated according to the judgment result based on the neighboring cell switching KPI and the judgment result based on the user distribution, so as to obtain a calibrated azimuth angle.
9. The base station antenna azimuth angle calibration apparatus according to claim 8,
the processing unit is specifically configured to determine a handover close neighbor base station of a target cell, where the handover close neighbor base station is a neighbor base station corresponding to a neighbor cell whose handover frequency is greater than a corresponding preset threshold value;
respectively determining the azimuth angle of each switching close neighbor base station relative to a target base station, wherein the target base station is the base station where the antenna to be calibrated is located;
taking the average value a of the azimuth angles of the switching close neighbor base stations relative to the target base station as a first estimated azimuth angle;
determining an angle difference theta between the original azimuth angle of the antenna to be calibrated and the first estimated azimuth angle1；
If the angle difference theta1If the difference value is larger than a first angle difference value threshold, determining that the judgment result based on the KPI is abnormal, and taking the first estimated azimuth as an estimated azimuth based on the KPI;
if the angle difference theta1And if the difference value is less than or equal to the first angle difference threshold, determining that the judgment result based on the KPI is normal in azimuth.
10. The base station antenna azimuth angle calibration apparatus according to claim 9,
the processing unit is specifically further configured to determine, according to the KPI for switching between the target cell and the neighboring cell, a first number of neighboring cells, where the number of times of switching between the neighboring cells and the target cell is greater than a corresponding preset threshold;
removing cells belonging to the same base station as the target cell from the first number of adjacent cells to obtain a second number of adjacent cells;
and determining the base station corresponding to each adjacent cell in the second number of adjacent cells as the switching close adjacent base station corresponding to the target cell.
11. The base station antenna azimuth calibration device according to claim 8, wherein the MR data and the MDT data comprise reference signal received power, RSRP, and location information;
the processing unit is specifically configured to divide a 360-degree circumference into a plurality of sectors every n degrees by taking a position of a target base station as a center, where the target base station is a base station where the antenna to be calibrated is located;
determining a sector in which each of the MR data and the MDT data is located according to the position information in each of the MR data and the MDT data; determining a weighted average of the RSRP for all of the MR data and MDT data located within each of the sectors;
determining the central direction azimuth angle beta of the target fan as a second estimated azimuth angle; wherein the target sector is a sector with the largest weighted average of the RSRP in the target cell;
determining an angle difference theta between the original azimuth angle of the antenna to be calibrated and the second estimated azimuth angle2；
If the angle difference theta2If the difference value is larger than a second angle difference value threshold, determining that the judgment result based on the user distribution is abnormal, and taking the second estimated azimuth as an estimated azimuth based on the user distribution;
if the angle difference theta2And if the difference value is less than or equal to the second angle difference value threshold, determining that the judgment result based on the user distribution is that the azimuth is normal.
12. The base station antenna azimuth angle calibration apparatus according to claim 11,
the processing unit is specifically configured to divide a preset number of distance zones according to a preset distance interval with the position of the target base station as a center;
determining a distance zone in which each of the MR data and the MDT data is located based on position information contained in the MR data and the MDT data;
and determining a weighted average value of the RSRPs corresponding to all the MR data and the MDT data in the same sector according to a preset weight coefficient of a distance zone in which each piece of the MR data and the MDT data is positioned and the RSRP contained in each piece of the MR data and the MDT data.
13. The base station antenna azimuth calibration device according to any of claims 11-12, wherein the preset weight coefficients, the RSRP and the weighted average of the RSRP for all the MR data and MDT data located in each sector satisfy the following relationship:
Figure FDA0003413600480000051
wherein avg (j) is a weighted average value of the RSRP corresponding to all the MR data and MDT data located in a sector j, the range of j is 1-360/n, and n is the degree of the central angle of the sector; wiA preset weight coefficient of a distance zone where the ith MR data or MDT data in the sector j is located is obtained, and the value range of i is a natural number which is more than or equal to 1; RSRPiThe RSRP corresponding to the ith MR data or MDT data in the sector j; m is the total number of the MR data and MDT data within the corresponding sector.
14. The base station antenna azimuth angle calibration apparatus according to any one of claims 8-12,
the processing unit is specifically configured to determine, according to accuracy of a determination result, a priority order of the determination result based on the neighboring cell switching KPI and the determination result based on the user distribution;
when any one judgment result is that the azimuth is abnormal, determining that the final judgment result aiming at the original azimuth of the antenna to be calibrated is abnormal, and taking the estimated azimuth corresponding to the judgment result with high priority in the judgment result with abnormal judgment result as the calibrated azimuth;
and when all the judgment results are normal, determining that the final judgment result of the original azimuth angle of the antenna to be calibrated is normal.
15. A server, comprising: a memory for storing computer instructions and a processor for executing the computer instructions to perform the method of any one of claims 1-7.
16. A computer-readable storage medium having stored thereon computer instructions which, when executed on a server, cause the server to perform the method of any one of claims 1-7.
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