Base station position determination method and device, electronic equipment, readable storage medium and program product

Abstract

The invention relates to a base station position determination method and device, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring measurement report data in each base station cell in a target area; the measurement report data comprises a 4G measurement report point and a 4G time advance; according to the measurement report data, determining a co-site cell in the base station cells; the overlapping degree between the circular areas respectively corresponding to the base station cells belonging to the same common-site cell meets a preset condition; the circular area takes a corresponding 4G measurement report point as a circle center, and the radius of the circular area is determined according to a distance represented by a corresponding 4G time advance; and predicting position information of a 5G base station corresponding to the common-site cell according to the measurement report data in the common-site cell. By adopting the method, the location positioning accuracy of the 5G base station can be improved.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a method, device, electronic device, computer-readable storage medium and computer program product for determining a base station location. Background Art

[0002] With the mature application of mobile communication technology and the development of network construction, the construction, maintenance and management of base stations have become a focus, among which the detection of base station locations is particularly important.

[0003] Base station location information is the basis of wireless network management. In the existing base station location management, if the location of the base station is inaccurate, it will affect the implementation of various communication services. For example, it will cause unstable signal transmission and thus affect the quality of communication. However, since the manually recorded longitude and latitude data are not necessarily accurate, correction is required to ensure the accuracy of the base station location information.

[0004] However, currently, since 5G terminals do not have AGPS (Assisted Global Positioning System) capabilities, the reported MR (Measurement Report) data does not include longitude and latitude data, making it difficult to accurately determine the location of 5G base stations.

[0005] Therefore, there is a problem of inaccurate positioning of 5G base stations in the related technology. Summary of the invention

[0006] Based on this, it is necessary to provide a base station position determination method, device, electronic device, computer-readable storage medium and computer program product that can improve the positioning accuracy of 5G base stations in response to the above technical problems.

[0007] In a first aspect, the present application provides a method for determining a base station location, comprising:

[0008] Obtaining measurement report data in each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance;

[0009] According to the measurement report data, a co-site cell is determined in each of the base station cells; the overlap degree between the circular areas corresponding to the base station cells belonging to the same co-site cell meets a preset condition; the circular area takes the corresponding 4G measurement report point as the center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance;

[0010] Based on the measurement report data within the co-site cell, predict the location information of the 5G base station corresponding to the co-site cell.

[0011] In one of the embodiments, predicting the location information of the 5G base station corresponding to the co-sited cell according to the measurement report data in the co-sited cell includes:

[0012] Determine a target area in the circular area corresponding to each of the 4G measurement report points in the co-site cell; the target area is the area where the overlapping degree of the circular areas is the most dense; each of the circular areas takes the corresponding 4G measurement report point as the center, and the radius of each of the circular areas is determined according to the distance represented by the corresponding 4G time advance;

[0013] The location information of the 5G base station is predicted based on the location information of the center point in the target area.

[0014] In one of the embodiments, determining the target area in the circular area corresponding to each of the 4G measurement reporting points in the co-site cell includes:

[0015] Performing a rasterization process on the overlapping areas of the circular areas to obtain a grid in the overlapping areas;

[0016] Selecting candidate grids from the grids in the overlapping area; the number of overlaps of the candidate grids meets a preset number threshold;

[0017] The area corresponding to the candidate grid is used as the target area.

[0018] In one of the embodiments, predicting the location information of the 5G base station according to the location information of the center point in the target area includes:

[0019] Obtain the calibration position of the 5G base station recorded in the engineering parameter ledger data;

[0020] Determine a target grid in the target area; the distance between the center point of the target grid and the calibration position meets a preset distance condition;

[0021] According to the location information of the center point of the target grid, the location information of the 5G base station is predicted.

[0022] In one embodiment, the measurement report data further includes a station address code; and determining a co-site cell in each of the base station cells according to the measurement report data includes:

[0023] Aggregating measurement report data of base station cells corresponding to the same site code to obtain measurement report data of aggregated cells;

[0024] The co-sited cell is determined according to the measurement report data of the aggregated cell.

[0025] In one of the embodiments, determining the co-site cell according to the measurement report data of the aggregated cell includes:

[0026] For any two of the base station cells in the aggregated cell, randomly extract 4G measurement report points from the measurement report data of any two of the base station cells within a preset number of times, and construct circular areas corresponding to the 4G measurement report points extracted each time; the circular area takes the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius;

[0027] Perform overlap detection on the circular areas corresponding to the 4G measurement report points extracted each time, and record the number of overlaps detected;

[0028] When the number of overlaps meets a preset number threshold, it is determined that any two base station cells are co-sited cells.

[0029] In one embodiment, the method further comprises:

[0030] For any 4G measurement reporting point in the co-site cell, determine a first radius and a second radius according to the distance represented by the 4G time advance corresponding to the any 4G measurement reporting point; the first radius and the second radius are respectively in a multiple relationship with the distance represented by the 4G time advance;

[0031] Taking any one of the 4G measurement report points as the center of the circle, and according to the first radius and the second radius, construct a circular ring area corresponding to any one of the 4G measurement report points.

[0032] In a second aspect, the present application also provides a base station location determination device, including:

[0033] An acquisition module is used to acquire measurement report data in each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance;

[0034] A determination module is used to determine a co-site cell in each of the base station cells according to the measurement report data; the overlap degree between the circular areas corresponding to the base station cells belonging to the same co-site cell meets a preset condition; the circular area takes the corresponding 4G measurement report point as the center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance;

[0035] A prediction module is used to predict the location information of the 5G base station corresponding to the co-site cell based on the measurement report data in the co-site cell.

[0036] In a third aspect, the present application further provides an electronic device, wherein the electronic device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the above method are implemented.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0038] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0039] The above-mentioned base station location determination method, device, electronic device, computer-readable storage medium and computer program product obtain measurement report data in each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance; according to the measurement report data, the co-sited cell is determined in each base station cell; the overlap between the circular areas corresponding to the base station cells belonging to the same co-sited cell meets the preset conditions; the circular area takes the corresponding 4G measurement report point as the center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance; according to the measurement report data in the co-sited cell, the location information of the 5G base station corresponding to the co-sited cell is predicted. In this way, by obtaining the measurement report data in each base station cell in the target area, wherein the measurement report data includes 4G measurement report points and 4G time advance, the co-sited cell is determined, so that the measurement report data originally scattered and based on different base stations are integrated into the 5G base station corresponding to the co-sited cell through the co-sited cell, providing a more centralized and relevant data source for the subsequent 5G base station location prediction. Furthermore, the location of the 5G base station corresponding to the co-sited cell can be predicted based on the measurement report data in the co-sited cell, and the location of the 5G base station can be predicted based on the measurement report data of the 4G user. In this way, even if the 5G measurement report data itself does not contain longitude and latitude location information, the location of the base station corresponding to the primary cell where the 5G user is located can be predicted. This method can assist in the accurate correction of the 5G base station location parameters, improve the positioning accuracy of the 5G base station location information, and provide support for the optimization and planning of wireless communication networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A schematic diagram of a flow chart of a method for determining a base station position in an embodiment;

[0042] Figure 2 It is a flowchart of the steps of predicting the location information of the 5G base station corresponding to the co-sited cell in one embodiment;

[0043] Figure 3 A schematic diagram of a flow chart of a method for determining a base station position in yet another embodiment;

[0044] Figure 4 A schematic distribution effect diagram of a target area prediction in an embodiment;

[0045] Figure 5 A schematic diagram of a flow chart of a method for determining a base station position in another embodiment;

[0046] Figure 6 is a structural block diagram of a base station position determination device in one embodiment;

[0047] Figure 7 FIG. 4 is a diagram showing the internal structure of an electronic device in one embodiment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0050] In one embodiment, Figure 1As shown, a method for determining the location of a base station is provided. This embodiment uses the method to be applied to any electronic device with computing and processing capabilities as an example. In this embodiment, the method includes the following steps:

[0051] Step S110, obtaining measurement report data in each base station cell in the target area.

[0052] The measurement report data includes 4G measurement report points and 4G time advance.

[0053] The target area may refer to an area covered by the communication network, which may be a city, a village, a mountainous area, a coastal area, etc. The present application does not specifically limit the shape and size of the target area.

[0054] The measurement report data refers to the MR (Measurement Report) data. MR refers to information sent every 480ms on the service channel (470ms on the signaling channel). This data can be used for network evaluation and optimization.

[0055] Among them, the measurement report data may include 4G measurement report data and 5G measurement report data.

[0056] The 4G measurement report data may be measurement report data reported by any terminal (such as a mobile phone terminal) occupying the 4G network after responding to the measurement control of the network.

[0057] The measurement report point may refer to the MR point. The MR point in the 4G measurement report data may refer to the location at which the terminal reports the 4G measurement report data. Specifically, some 4G network terminals already support AGPS (Assisted Global Positioning System) capabilities, and can obtain the precise longitude and latitude location information corresponding to the 4G measurement report data.

[0058] Therefore, the MR point in the 4G measurement report data may be named as a 4G measurement report point.

[0059] The time advance (TA, Time Advanced, also known as the maximum time advance) refers to the difference between the actual time when the mobile station signal arrives at the base station and the time when the mobile station signal arrives at the base station assuming that the distance between the mobile station and the base station is 0.

[0060] Among them, the time advance in the 4G measurement report data can be named 4G time advance.

[0061] In a specific implementation, the electronic device may obtain measurement report data reported by terminal devices located in each base station cell in the target area. The base stations in the target area may include 5G base stations and 4G base stations, the base station cells in the target area may include 4G base station cells and 5G base station cells, and the measurement report data in each base station cell in the target area may include 4G measurement report data and 5G measurement report data. The 4G measurement report data may include 4G measurement report points and 4G time advance.

[0062] In some embodiments, 4G measurement report data may include: 4G base station ID, 4G sector ID, 4G serving cell RSRP (Reference Signal Receiving Power), 4G serving cell TA, location data (longitude and latitude), etc. 5G measurement report data may include: 5G base station ID, 5G sector ID, 5G serving cell RSRP, 5G serving cell TA data, etc., but no location data (longitude and latitude), so a method for more accurately locating the position of a 5G base station is needed.

[0063] Step S120: Determine a co-sited cell in each base station cell according to the measurement report data.

[0064] Among them, the co-site cell can also be named as the co-station cell.

[0065] The overlapping degree between the circular areas corresponding to the base station cells belonging to the same co-site cell meets the preset conditions.

[0066] The circular area takes the 4G measurement report point in the corresponding base station cell as the center, and the radius of the circular area is determined according to the distance represented by the 4G time advance in the corresponding base station cell.

[0067] The 4G time advance corresponding to a certain 4G measurement report point may refer to the 4G time advance recorded in the 4G measurement report data recording the 4G measurement report point. That is, the 4G measurement report point and the 4G time advance carried in the same 4G measurement report data correspond to each other.

[0068] Among them, the circular area can also be named as TA circle in practical applications.

[0069] The distance represented by the 4G timing advance TA in the 4G measurement report data may be: 78.12×the timing advance TA value. For example, if the 4G timing advance TA value is 3TA, the distance represented by the 4G timing advance TA may be 78.12×3.

[0070] In a specific implementation, the electronic device can determine the co-sited cell in each base station cell according to the measurement report data. Specifically, the electronic device can randomly draw TA circles (circular areas) of 4GMR dots in two base station cells according to the measurement report data in each base station cell, and determine whether the two base station cells belong to the co-sited cell according to whether the overlap between the circular areas respectively corresponding to the two base station cells meets the preset conditions.

[0071] Step S130: predict the location information of the 5G base station corresponding to the co-sited cell based on the measurement report data in the co-sited cell.

[0072] In a specific implementation, the electronic device can merge all measurement report data within the co-site cell to obtain a measurement report data set within the co-site cell, and predict the location information of the 5G base station corresponding to the co-site cell based on the measurement report data set within the co-site cell.

[0073] Among them, if multiple groups of co-sited cells are determined in each base station cell, all measurement report data of each group of co-sited cells can be merged, and the location information of the 5G base station corresponding to the group of co-sited cells can be predicted based on the measurement report data set in the group of co-sited cells.

[0074] In the above-mentioned method for determining the location of a base station, measurement report data is obtained in each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance; based on the measurement report data, a co-sited cell is determined in each base station cell; the overlap between the circular areas corresponding to the base station cells belonging to the same co-sited cell meets the preset conditions; the circular area is centered on the corresponding 4G measurement report point, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance; based on the measurement report data in the co-sited cell, the location information of the 5G base station corresponding to the co-sited cell is predicted. In this way, by obtaining the measurement report data in each base station cell in the target area, wherein the measurement report data includes 4G measurement report points and 4G time advance, the co-sited cell is determined, thereby integrating the originally scattered measurement report data based on different base stations into the 5G base station corresponding to the co-sited cell through the co-sited cell, providing a more centralized and relevant data source for subsequent 5G base station location prediction. Furthermore, the location of the 5G base station corresponding to the co-sited cell can be predicted based on the measurement report data in the co-sited cell, and the location of the 5G base station can be predicted based on the measurement report data of the 4G user. In this way, even if the 5G measurement report data itself does not contain longitude and latitude location information, the location of the base station corresponding to the primary cell where the 5G user is located can be predicted. This method can assist in the accurate correction of the 5G base station location parameters, improve the positioning accuracy of the 5G base station location information, and provide support for the optimization and planning of wireless communication networks.

[0075] In one embodiment, Figure 2 As shown, step S130, predicting the location information of the 5G base station corresponding to the co-site cell according to the measurement report data in the co-site cell, includes the following steps:

[0076] Step S210, determining a target area in the circular area corresponding to each 4G measurement report point in the co-site cell.

[0077] Among them, the target area is the area where the overlapping degree of each circular area is the most dense.

[0078] Each circular area has a corresponding 4G measurement report point as its center, and the radius of each circular area is determined according to the distance represented by the corresponding 4G time advance.

[0079] In a specific implementation, the electronic device can construct a corresponding circular ring area according to the 4G measurement report points in the co-site cell. Specifically, each 4G measurement report point can be used as the center of the circle, and the radius can be determined by the distance represented by the 4G time advance corresponding to each 4G measurement report point, so as to construct a circular ring area corresponding to each 4G measurement report point.

[0080] In this way, the area with the densest overlap can be determined in the circular area corresponding to each 4G measurement report point in the co-site cell as the target area.

[0081] Step S220, predicting the location information of the 5G base station based on the location information of the center point in the target area.

[0082] In a specific implementation, the electronic device can determine the location information of the 5G base station based on the location information of the center point in the target area as the predicted location information of the 5G base station.

[0083] The technical solution of this embodiment is to determine the target area in the circular area corresponding to each 4G measurement report point in the co-site cell; the target area is the area where the overlapping degree of each circular area is the most dense; each circular area takes the corresponding 4G measurement report point as the center, and the radius of each circular area is determined according to the distance represented by the corresponding 4G time advance; according to the position information of the center point in the target area, the position information of the 5G base station is predicted. In this way, by determining the target area with the densest overlapping degree in the circular area corresponding to each 4G measurement report point in the co-site cell, the target area is the location where the signal is concentrated and is most likely to be close to the base station, so that the position of the 5G base station can be more accurately located according to the position information of the center point in the target area.

[0084] In one embodiment, the method also includes: for any 4G measurement reporting point in the co-site cell, determining a first radius and a second radius according to the distance represented by the 4G time advance corresponding to any 4G measurement reporting point; the first radius and the second radius are respectively multiples of the distance represented by the 4G time advance; with any 4G measurement reporting point as the center, constructing a circular area corresponding to any 4G measurement reporting point according to the first radius and the second radius.

[0085] In a specific implementation, for the construction of a circular area corresponding to any 4G measurement reporting point in a co-sited cell, the electronic device can determine a first radius and a second radius based on the distance represented by the 4G time advance corresponding to the any 4G measurement reporting point, and the first radius and the second radius are respectively multiples of the distance represented by the 4G time advance corresponding to the any 4G measurement reporting point. In this way, the electronic device can construct a circular area corresponding to the 4G measurement reporting point with the any 4G measurement reporting point as the center of the circle according to the first radius and the second radius.

[0086] The first radius may be the radius of the inner circle, and the second radius may be the radius of the outer circle. For example, the first radius may be TA×78.12, and the second radius may be (TA+1)×78.12. Alternatively, the first radius may be 0.5TA×78.12, and the second radius may be 1.5TA×78.12.

[0087] The technical solution of this embodiment is to determine the first radius and the second radius according to the distance represented by the 4G time advance corresponding to any 4G measurement report point in the co-site cell; the first radius and the second radius are respectively multiples of the distance represented by the 4G time advance; with any 4G measurement report point as the center, a circular ring area corresponding to any 4G measurement report point is constructed according to the first radius and the second radius. In this way, since the time advance is related to the distance between the terminal device and the base station antenna, the first radius and the second radius are determined by the distance represented by the 4G time advance corresponding to any 4G measurement report point, and with any 4G measurement report point as the center, a circular ring area corresponding to any 4G measurement report point is constructed according to the first radius and the second radius. These circular ring areas can reflect the possible range of signal propagation from the base station to the terminal device to a certain extent. By analyzing these circular ring areas, the approximate interval of the base station location can be more accurately determined to preliminarily locate the base station location. In addition, the area between the inner circle and the circular ring in the circular ring area can further narrow the possible range of the base station location, making the subsequent positioning analysis more detailed and accurate, which is conducive to finding the area that best matches the actual location of the base station.

[0088] In one embodiment, a target area is determined in the circular area corresponding to each 4G measurement report point in the co-sited cell, including: rasterizing the overlapping areas of the circular areas to obtain grids in the overlapping areas; screening out candidate grids from the grids in the overlapping areas; and using the area corresponding to the candidate grids as the target area.

[0089] The number of overlaps of the candidate grids meets a preset number threshold.

[0090] When the number of grid overlaps is greater than or equal to a preset number threshold, it is determined that the number of grid overlaps meets the preset number threshold.

[0091] In a specific implementation, when the electronic device determines the target area in the circular area corresponding to each 4G measurement report point in the co-site cell, the electronic device can perform rasterization processing on the overlapping areas of each circular area to obtain a grid (size of s×s) in the overlapping area; for example, the grid size can be 10m×10m, and the grids in the overlapping area whose number of overlaps meets a preset number threshold are screened out as candidate grids; the area corresponding to the candidate grid is used as the target area with the densest overlap.

[0092] The technical solution of this embodiment is to obtain grids in the overlapping areas by rasterizing the overlapping areas of each circular area; select candidate grids from the grids in the overlapping areas; the number of overlaps of the candidate grids meets a preset number threshold; and use the area corresponding to the candidate grid as the target area. In this way, by rasterizing the overlapping areas of each circular area, calculating the number of overlaps of the grids in the overlapping areas, and determining the target area with the densest overlap, not only can the target area with the densest overlap be determined efficiently and accurately based on the number of overlaps of the grids, but this refined processing method also helps to improve the resolution of positioning.

[0093] In one embodiment, the location information of the 5G base station is predicted based on the location information of the center point in the target area, including: obtaining the calibrated position of the 5G base station recorded in the engineering parameter record data; determining the target grid in the target area; the distance between the center point of the target grid and the calibrated position meets a preset distance condition; based on the location information of the center point of the target grid, the location information of the 5G base station is predicted.

[0094] Among them, the latitude and longitude information of the 5G base station input manually is recorded in the engineering parameter ledger data. The latitude and longitude information of the 5G base station in the engineering parameter ledger data is used to characterize the calibrated position of the 5G base station.

[0095] In a specific implementation, when the electronic device predicts the location information of the 5G base station based on the location information of the center point in the target area, the electronic device can obtain the calibrated position of the 5G base station recorded in the engineering parameter ledger data; and determine the target grid based on the distance between the center point of each candidate grid in the target area and the calibrated position. Among them, the distance between the center point of the target grid and the calibrated position meets the preset distance condition.

[0096] In some embodiments, a candidate grid whose distance between the center point and the calibration position meets a preset distance threshold (for example, less than or equal to the preset distance threshold) can be screened out from each candidate grid as a target grid whose distance between the center point and the calibration position meets the preset distance condition. If multiple candidate grids are screened out, the candidate grid with the shortest distance between the center point and the calibration position is selected as the target grid.

[0097] In this way, the location information of the 5G base station can be predicted based on the location information of the center point of the target grid. In some embodiments, the longitude and latitude coordinates of the center point of the target grid can be used as the predicted location of the 5G base station.

[0098] The technical solution of this embodiment is to obtain the calibrated position recorded in the industrial parameter ledger data of the 5G base station; determine the target grid in the target area; the distance between the center point of the target grid and the calibrated position meets the preset distance condition; and predict the position information of the 5G base station according to the position information of the center point of the target grid. In this way, after the target area with the densest overlap is screened out according to the rasterization process, the target grid whose distance between the center point and the calibrated position recorded in the industrial parameter ledger data of the 5G base station meets the preset distance condition is screened out in the target area to predict the position of the 5G base station. This can more accurately screen out the grid that is most likely to contain the true position of the 5G base station based on the pre-calibrated calibrated position, thereby predicting the position information of the 5G base station according to the position information of the center point of the target grid. Compared with directly predicting the position of the 5G base station by calculating the intersection coordinates of the circular area, it can simplify the complexity of the calculation, improve the calculation efficiency, and also make the prediction process more efficient.

[0099] In one embodiment, the measurement report data also includes a site code; based on the measurement report data, co-site cells are determined in each base station cell, including: aggregating the measurement report data of base station cells corresponding to the same site code to obtain the measurement report data of the aggregated cells; and determining the co-site cells based on the measurement report data of the aggregated cells.

[0100] Among them, the aggregated cell refers to the base station cell corresponding to the same site code.

[0101] In a specific implementation, when the electronic device determines the co-sited cell in each base station cell according to the measurement report data, it can aggregate the measurement report data of the base station cells corresponding to the same site code according to the site code recorded in the measurement report data to obtain the measurement report data of the aggregated cell; and determine the co-sited cell according to the measurement report data of the aggregated cell. In this way, an association relationship library between the co-sited base station identifier (enb_id) and the cell identifier (cell_id) can be established, and the 5G base station corresponding to the co-sited cell can be determined according to the association relationship library, thereby predicting the location information of the 5G base station corresponding to the co-sited cell.

[0102] The co-sited base station identifier may be used to identify the co-sited base station.

[0103] The cell identifier may be used to identify a base station cell.

[0104] In the technical solution of this embodiment, the measurement report data also includes a site code; the measurement report data of the aggregated cell is obtained by aggregating the measurement report data of the base station cells corresponding to the same site code; the co-sited cell is determined based on the measurement report data of the aggregated cell. In this way, a relationship library of co-sited base stations and cells can be constructed based on the co-sited cells, which not only simplifies the base station identification conversion process in subsequent data processing, but also improves the total amount of the data set and the accuracy and efficiency of data processing, providing a more reliable data basis for base station location prediction.

[0105] In one embodiment, co-sited cells are determined based on measurement report data of aggregated cells, including: for any two base station cells in the aggregated cells, 4G measurement report points are randomly extracted from the measurement report data of any two base station cells within a preset number of times, and circular areas corresponding to the 4G measurement report points extracted each time are constructed; the circular area takes the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius; overlap detection is performed on the circular areas corresponding to the 4G measurement report points extracted each time, and the number of overlaps detected is recorded; when the number of overlaps meets the preset number threshold, any two base station cells are determined to be co-sited cells.

[0106] The circular area has the 4G measurement report point as its center and the distance represented by the corresponding 4G time advance as its radius.

[0107] In a specific implementation, when the electronic device determines the co-site cell based on the measurement report data of the aggregated cell, for any two base station cells in the aggregated cell, the electronic device can randomly extract 4G measurement report points from the measurement report data of any two base station cells within a preset number of times, and construct circular areas corresponding to the 4G measurement report points extracted each time; wherein the circular area has the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius.

[0108] The electronic device can perform overlap detection on the circular areas corresponding to the 4G measurement report points extracted each time, and record the number of overlaps detected. When the number of overlaps meets the preset number threshold, any two base station cells are determined to be co-sited cells.

[0109] In actual applications, the electronic device may record the ratio of the number of overlaps to a preset number of overlaps, and when the ratio is greater than or equal to a preset ratio threshold, determine that the arbitrary two base station cells are co-sited cells.

[0110] Furthermore, the electronic device may perform co-site determination for every two base station cells in the aggregated cell, thereby determining the co-site cells.

[0111] The technical solution of this embodiment is to randomly extract 4G measurement report points from the measurement report data of any two base station cells in the aggregated cell within a preset number of times, and construct circular areas corresponding to the 4G measurement report points extracted each time; the circular area takes the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius; overlap detection is performed on the circular areas corresponding to the 4G measurement report point extracted each time, and the number of overlaps detected is recorded; when the number of overlaps meets the preset number threshold, it is determined that any two base station cells are co-sited cells.

[0112] In this way, by randomly extracting 4G measurement report points from the measurement report data of any two base station cells within a preset number of times, circular areas corresponding to the 4G measurement report points extracted each time are constructed. Only when the number of overlaps detected meets the preset number threshold, can any two base station cells be determined to be co-sited cells, thereby avoiding the contingency of relying solely on a single or a small amount of data for judgment, so that the judgment result can better reflect the actual co-site relationship between the two base station cells under long-term and multiple situations, thereby significantly improving the accuracy of the co-site judgment result.

[0113] In yet another embodiment, Figure 3 As shown in FIG. 1 , a flow chart of a method for determining a base station location is provided. Figure 3 As shown, the following steps are included:

[0114] Establish a co-located cell MR dataset: First, based on the MR data within each base station cell in the target area, establish an association relationship library between the co-located base station identifier (enb_id) and the cell identifier (cell_id). Specifically, aggregate the MR data of base station cells using the site code. For every two base station cells, determine whether they are co-located. Randomly extract 4G MR points of every two base station cells n times (a preset number of times) to construct TA circles. Use the MR data of the base station cells where the proportion of the number of intersecting TA circles exceeds the set threshold as the MR dataset of co-located cells.

[0115] In the process of aggregating the MR data of base station cells using the site code and determining whether every two base station cells are co-located, assume the number of 4G measurement report points of two base station cells are C1 and C2 respectively. Randomly extract 4G measurement report points from the two base station cells to be determined respectively, with a total of tot_cnt = C1 + C2 extractions. Determine whether the 4G measurement report points extracted each time satisfy the intersection of TA circles, that is, calculate the TA radii (the distances represented by the corresponding 4G time advance) r1 and r2 of the two 4G measurement report points respectively, and then make a judgment with the distance d between the two 4G measurement report points. Record the number of intersections (overlaps) that satisfy |r1 - r2| - x < d < r1 + r2 + x. Only when the proportion of the number of intersections exceeds the preset proportion threshold (a preset ratio threshold, such as 80%, and the specific value is set according to actual needs and is not specifically limited here) is it considered that these two base station cells belong to co-located cells. Here, x refers to the recognition accuracy, for example, it can be 200m, and the specific value can be set according to actual needs.

[0116] Obtain the candidate set of base station locations: Merge the MR data of all the same co-located cells. Construct a corresponding circular ring area for each 4G measurement report point in this MR dataset, and obtain the longitude and latitude of the center points of at least two grids (n*n) with the most intensive overlap of these circular ring areas as the candidate set of undetermined base station locations. That is, screen out the candidate grids whose number of overlaps meets the preset number threshold from the grids in the overlapping area of the circular ring areas. The longitude and latitude of the center points of each candidate grid are used as the candidate set of undetermined base station locations.

[0117] In practical applications, grids with the number of overlaps greater than or equal to 3 times and greater than half of the maximum number of overlaps can be selected as candidate grids.

[0118] Predict the location of 5G base stations: Based on the user location information in the above MR data set, a spatial analysis method is used. Identify areas where the areas of these circular rings overlap densely, and determine the center points of at least two of the most credible n*n grids. Calculate the distance between these at least two center points and the calibrated positions of the 5G base stations that need to be corrected in the engineering parameter ledger data, and select the center point with the shortest distance that meets the preset distance threshold (such as less than or equal to 1 meter, the specific value is not specifically limited here) as the predicted location point of the 5G base station. The longitude and latitude coordinates of the center point are regarded as the predicted location of the target 5G base station. That is, determine the target grid in the target area; the distance between the center point of the target grid and the calibrated position meets the preset distance condition; predict the location information of the 5G base station based on the location information of the center point of the target grid.

[0119] In summary, this method realizes the accurate prediction of the location of 5G base stations through MR data processing and spatial analysis technology. The distance error between the predicted position and the recorded data in the ledger is used to meet the distance threshold, and manual verification and calibration are performed to realize base station correction. After the base station position is corrected, the user's positioning accuracy will be improved, providing more reliable support for the planning and optimization of wireless communication networks.

[0120] This solution takes Province A as the target area, takes the full MR data of base station cells in Province A, and considers it as a co-sited cell only when the intersecting TA circles account for more than 80%; recommends multiple aggregation points with high probability, compares them with the calibration positions recorded in the ledger engineering parameter data, and selects the best matching point as the prediction point. The final recognition accuracy within 200 meters increased from 85% to 93%, with a significant improvement. Figure 4 As shown, a schematic distribution diagram of the forecast for Province A is provided.

[0121] In another embodiment, Figure 5 As shown, a method for determining a base station position is provided, which is described by taking the method applied to an electronic device as an example, and includes the following steps:

[0122] Step S502: Obtain measurement report data in each base station cell in the target area.

[0123] Step S504, aggregate the measurement report data of the base station cells corresponding to the same site code to obtain the measurement report data of the aggregated cells.

[0124] Step S506: for any two base station cells in the aggregated cell, 4G measurement report points are randomly extracted from the measurement report data of any two base station cells within a preset number of times, and circular areas corresponding to the 4G measurement report points extracted each time are constructed.

[0125] Step S508, performing overlap detection on the circular areas corresponding to the 4G measurement report points extracted each time, and recording the number of overlaps detected.

[0126] Step S510: When the number of overlaps meets a preset number threshold, it is determined that any two base station cells are co-sited cells.

[0127] Step S512: For any 4G measurement reporting point in the co-sited cell, determine a first radius and a second radius according to a distance represented by a 4G time advance corresponding to any 4G measurement reporting point.

[0128] Step S514: Taking any 4G measurement report point as the center of the circle, and constructing a circular ring area corresponding to any 4G measurement report point according to the first radius and the second radius.

[0129] Step S516, performing rasterization processing on the overlapping areas of the circular areas to obtain a grid in the overlapping areas.

[0130] Step S518: select candidate grids from the grids in the overlapping area.

[0131] Step S520: taking the area corresponding to the candidate grid as the target area.

[0132] Step S522, obtain the calibration position of the 5G base station recorded in the engineering parameter record data.

[0133] Step S524, determining a target grid in the target area.

[0134] Step S526, predicting the location information of the 5G base station based on the location information of the center point of the target grid.

[0135] It should be noted that the specific limitations of the above steps can refer to the specific limitations of a base station location determination method mentioned above.

[0136] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0137] Based on the same inventive concept, the embodiment of the present application also provides a base station location determination device for implementing the base station location determination method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more base station location determination device embodiments provided below can refer to the limitations of the base station location determination method above, and will not be repeated here.

[0138] In an exemplary embodiment, Figure 6 As shown, a base station location determination device is provided, including: an acquisition module 610, a determination module 620 and a prediction module 630, wherein:

[0139] The acquisition module 610 is used to acquire measurement report data in each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance.

[0140] Determination module 620 is used to determine the co-site cell in each of the base station cells according to the measurement report data; the degree of overlap between the circular areas corresponding to the base station cells belonging to the same co-site cell meets the preset conditions; the circular area takes the corresponding 4G measurement report point as the center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance.

[0141] The prediction module 630 is used to predict the location information of the 5G base station corresponding to the co-site cell based on the measurement report data in the co-site cell.

[0142] In one of the embodiments, the prediction module 630 is specifically used to determine the target area in the circular area corresponding to each of the 4G measurement reporting points in the co-site cell; the target area is the area where the circular areas overlap most densely; each of the circular areas has the corresponding 4G measurement reporting point as the center, and the radius of each of the circular areas is determined according to the distance represented by the corresponding 4G time advance; based on the position information of the center point in the target area, the position information of the 5G base station is predicted.

[0143] In one of the embodiments, the prediction module 630 is specifically used to perform rasterization processing on the overlapping areas of each of the circular areas to obtain grids in the overlapping areas; select candidate grids from the grids in the overlapping areas; the number of overlaps of the candidate grids meets a preset number threshold; and use the area corresponding to the candidate grid as the target area.

[0144] In one of the embodiments, the prediction module 630 is specifically used to obtain the calibrated position of the 5G base station recorded in the engineering parameter record data; determine the target grid in the target area; the distance between the center point of the target grid and the calibrated position meets the preset distance condition; and predict the location information of the 5G base station based on the location information of the center point of the target grid.

[0145] In one of the embodiments, the measurement report data also includes a site code; the determination module 620 is specifically used to aggregate the measurement report data of the base station cells corresponding to the same site code to obtain the measurement report data of the aggregated cells; and determine the co-site cell based on the measurement report data of the aggregated cells.

[0146] In one of the embodiments, the determination module 620 is specifically used to randomly extract 4G measurement report points from the measurement report data of any two base station cells in the aggregated cell within a preset number of times, and construct circular areas corresponding to the 4G measurement report points extracted each time; the circular area takes the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius; overlap detection is performed on the circular areas corresponding to the 4G measurement report points extracted each time, and the number of overlaps detected is recorded; when the number of overlaps meets the preset number threshold, any two base station cells are determined to be the co-sited cells.

[0147] In one of the embodiments, the device also includes: a construction module, used to determine a first radius and a second radius for any 4G measurement reporting point in the co-site cell according to the distance represented by the 4G time advance corresponding to the any 4G measurement reporting point; the first radius and the second radius are respectively multiples of the distance represented by the 4G time advance; with the any 4G measurement reporting point as the center of the circle, a circular area corresponding to the any 4G measurement reporting point is constructed according to the first radius and the second radius.

[0148] Each module in the above-mentioned base station location determination device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in an electronic device in the form of hardware, or can be stored in a memory in an electronic device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0149] In an exemplary embodiment, an electronic device is provided. The electronic device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7As shown. The electronic device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store measurement report data. The input / output interface of the electronic device is used to exchange information between the processor and an external device. The communication interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining the location of a base station is implemented.

[0150] Those skilled in the art will understand that Figure 7 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0151] In one embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0152] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0153] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0154] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0155] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0156] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0157] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining a base station location, characterized in that: The method comprises: Obtaining measurement report data in each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance; According to the measurement report data, a co-site cell is determined in each of the base station cells; the overlap degree between the circular areas corresponding to the base station cells belonging to the same co-site cell meets a preset condition; the circular area takes the corresponding 4G measurement report point as the center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance; Based on the measurement report data within the co-site cell, predict the location information of the 5G base station corresponding to the co-site cell.

2. The method according to claim 1, characterized in that: The predicting, according to the measurement report data in the co-site cell, the location information of the 5G base station corresponding to the co-site cell includes: Determine a target area in the circular area corresponding to each of the 4G measurement report points in the co-site cell; the target area is the area where the overlapping degree of the circular areas is the most dense; each of the circular areas takes the corresponding 4G measurement report point as the center, and the radius of each of the circular areas is determined according to the distance represented by the corresponding 4G time advance; The location information of the 5G base station is predicted based on the location information of the center point in the target area.

3. The method according to claim 2, characterized in that Determining the target area in the circular area corresponding to each of the 4G measurement report points in the co-site cell includes: Performing a rasterization process on the overlapping areas of the circular areas to obtain a grid in the overlapping areas; Selecting candidate grids from the grids in the overlapping area; the number of overlaps of the candidate grids meets a preset number threshold; The area corresponding to the candidate grid is used as the target area.

4. The method according to claim 3, characterized in that The predicting the location information of the 5G base station according to the location information of the center point in the target area includes: Obtain the calibration position of the 5G base station recorded in the engineering parameter ledger data; Determine a target grid in the target area; the distance between the center point of the target grid and the calibration position meets a preset distance condition; Based on the location information of the center point of the target grid, the location information of the 5G base station is predicted.

5. The method according to claim 1, characterized in that The measurement report data further includes a station address code; and determining a co-site cell in each of the base station cells according to the measurement report data includes: Aggregating measurement report data of base station cells corresponding to the same site code to obtain measurement report data of aggregated cells; The co-sited cell is determined according to the measurement report data of the aggregated cell.

6. The method according to claim 5, characterized in that The determining the co-site cell according to the measurement report data of the aggregated cell includes: For any two of the base station cells in the aggregated cell, randomly extract 4G measurement report points from the measurement report data of any two of the base station cells within a preset number of times, and construct circular areas corresponding to the 4G measurement report points extracted each time; the circular area takes the 4G measurement report point as the center and the distance represented by the corresponding 4G time advance as the radius; Perform overlap detection on the circular areas corresponding to the 4G measurement report points extracted each time, and record the number of overlaps detected; When the number of overlaps meets a preset number threshold, it is determined that any two base station cells are co-sited cells.

7. The method according to claim 2, characterized in that: The method further comprises: For any 4G measurement reporting point in the co-site cell, determine a first radius and a second radius according to the distance represented by the 4G time advance corresponding to the any 4G measurement reporting point; the first radius and the second radius are respectively in a multiple relationship with the distance represented by the 4G time advance; Taking any one of the 4G measurement report points as the center of the circle, and according to the first radius and the second radius, construct a circular ring area corresponding to any one of the 4G measurement report points.

8. A base station location determination device, characterized in that: The device comprises: An acquisition module is used to acquire measurement report data in each base station cell in the target area; the measurement report data includes 4G measurement report points and 4G time advance; A determination module is used to determine a co-site cell in each of the base station cells according to the measurement report data; the overlap degree between the circular areas corresponding to the base station cells belonging to the same co-site cell meets a preset condition; the circular area takes the corresponding 4G measurement report point as the center, and the radius of the circular area is determined according to the distance represented by the corresponding 4G time advance; A prediction module is used to predict the location information of the 5G base station corresponding to the co-site cell based on the measurement report data in the co-site cell.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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