Positioning method, apparatus and device of 5g base station and storage medium

Abstract

This application provides a method, apparatus, device, and storage medium for locating a 5G base station. The method includes: acquiring N raw sampling data; each raw sampling data includes the identifier of the sampled 4G cell and the Physical Cell Identifier (PCI) of the corresponding 5G neighbor cell; N is an integer, and N≥1; determining the cell number of the 5G neighbor cell corresponding to the 4G cell based on the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and a pre-configured operating parameter table; the operating parameter table includes the mapping relationship between the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and the cell number of the corresponding 5G neighbor cell; determining N sampling data based on the N raw sampling data and the cell number of the corresponding 5G neighbor cell in each raw sampling data; and determining the target location of the 5G base station corresponding to the 5G neighbor cell based on M sampling data from the N sampling data; M is an integer, and 1≤M≤N.

Description

Technical Field

[0001] This application relates to communication technology, and more particularly to a positioning method, apparatus, device, and storage medium for a 5G base station. Background Technology

[0002] 5G networks are characterized by high speed, low latency, and large capacity. As the construction of 5G networks deepens, the number of 5G base stations has increased significantly, and the comprehensive management data of 5G networks has become more complex.

[0003] Base station locations are frequently needed during road testing, network optimization, and base station maintenance. However, the actual latitude and longitude of a base station often deviates from the latitude and longitude specified in its configuration parameters, causing significant difficulties for these processes. Therefore, it is necessary to test the locations of 5G base stations. Summary of the Invention

[0004] This application provides a 5G base station positioning method, apparatus, device, and storage medium to solve the technical problem that the location of 5G base stations in the prior art deviates from their actual location, causing many difficulties for road testing, network optimization, and base station maintenance.

[0005] In a first aspect, this application provides a 5G base station positioning method, comprising: acquiring N raw sampling data; each of the N raw sampling data includes the identifier of the sampled 4G cell and the Physical Cell Identifier (PCI) of the 5G neighbor cell corresponding to the 4G cell; where N is an integer greater than or equal to 1; determining the cell number of the 5G neighbor cell corresponding to the 4G cell based on the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and a pre-configured operating parameter table; the pre-configured operating parameter table includes a mapping relationship between the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the cell number of the 5G neighbor cell corresponding to the 4G cell; obtaining N sampling data based on the N raw sampling data and the cell number of the 5G neighbor cell corresponding to the 4G cell in each raw sampling data; and determining the target location of the 5G base station corresponding to the 5G neighbor cell based on M sampling data among the N sampling data; where M is an integer greater than or equal to 1 and less than or equal to N.

[0006] In some embodiments, each of the N sampled data further includes signal parameters of the 5G neighboring cell corresponding to the 4G cell, the signal parameters being used to characterize the signal quality of the 5G neighboring cell; wherein, before determining the target location of the 5G base station corresponding to the 5G neighboring cell based on M sampled data from the N sampled data, the method further includes: selecting M sampled data from the N sampled data whose signal parameter values ​​of the 5G neighboring cell corresponding to the 4G cell are greater than or equal to preset signal parameter values.

[0007] In some embodiments, determining the target location of the 5G base station corresponding to the 5G neighboring cell based on M sampled data from the N sampled data includes: clustering the M sampled data from the N sampled data using a clustering algorithm to obtain the target location of the 5G base station corresponding to the 5G neighboring cell.

[0008] In some embodiments, clustering M sample data out of the N sample data according to a clustering algorithm to obtain the target location of the 5G base station corresponding to the 5G neighboring cell includes: Step a, randomly selecting K sample data from the M sample data to determine the first centroid of the K sample datasets to be constructed; where K is an integer greater than or equal to 1 and less than M; Step b, for each of the P remaining sample data excluding the K sample data in the M sample data, determining the distance between each remaining sample data and each sample data in the K sample data, obtaining K distances; where P is an integer greater than or equal to 1 and less than M; Step c, dividing each remaining sample data into... The minimum distance among the K distances corresponds to the sampled dataset to be constructed; Step d: Repeat steps b and c to obtain K sampled datasets; Step e: For each of the K sampled datasets, calculate the second centroid of each sampled dataset; Step f: If the distance between the first centroid and the second centroid of each sampled dataset is greater than or equal to a preset centroid distance, repeat steps b to f for each sampled dataset until the distance between the first centroid and the second centroid of each sampled dataset is less than the preset centroid distance, to obtain K target sampled datasets; Step g: Based on the average value of the centroids of the K target sampled datasets, obtain the target location of the 5G base station corresponding to the 5G neighboring cell.

[0009] In some embodiments, the N sampling data include: N measurement report (MR) data obtained by multiple terminal devices under a 5G base station sampling at N sampling points.

[0010] In some embodiments, after determining the target location of the 5G base station corresponding to the 5G neighboring cell based on M sampled data from the N sampled data, the method further includes: obtaining the original location of the 5G base station corresponding to the 5G neighboring cell; if the distance between the original location of the 5G base station corresponding to the 5G neighboring cell and the target location of the 5G base station corresponding to the 5G neighboring cell is greater than or equal to a preset distance, then outputting a prompt message indicating that the location of the 5G base station is deviated.

[0011] In some embodiments, the method further includes: if the distance between the original location of the 5G base station corresponding to the 5G neighboring cell and the target location of the 5G base station corresponding to the 5G neighboring cell is greater than or equal to a preset distance, then the original location of the 5G base station is updated to the target location.

[0012] Secondly, this application provides a 5G base station positioning device, comprising: an acquisition module, configured to acquire N raw sampling data; each of the N raw sampling data includes the identifier of the sampled 4G cell and the Physical Cell Identifier (PCI) of the 5G neighbor cell corresponding to the 4G cell; where N is an integer greater than or equal to 1; a determination module, configured to determine the cell number of the 5G neighbor cell corresponding to the 4G cell based on the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and a pre-configured operating parameter table; the pre-configured operating parameter table includes a mapping relationship between the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the cell number of the 5G neighbor cell corresponding to the 4G cell; the determination module is further configured to obtain N sampling data based on the N raw sampling data and the cell number of the 5G neighbor cell corresponding to the 4G cell in each raw sampling data; the determination module is further configured to determine the target location of the 5G base station corresponding to the 5G neighbor cell based on M sampling data among the N sampling data; where M is an integer greater than or equal to 1 and less than or equal to N.

[0013] Thirdly, this application provides an electronic device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method as described in the first aspect.

[0014] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method described in the first aspect.

[0015] The 5G base station positioning method, apparatus, device, and storage medium provided in this application acquire N raw sampling data. Each of the N raw sampling data includes the identifier of the sampled 4G cell and the Physical Cell Identifier (PCI) of the corresponding 5G neighbor cell; N is an integer greater than or equal to 1. Based on the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and a pre-configured operating parameter table, the cell number of the corresponding 5G neighbor cell is determined. The pre-configured operating parameter table includes a mapping relationship between the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and the cell number of the corresponding 5G neighbor cell. Based on the N raw sampling data and the cell number of the corresponding 5G neighbor cell in each raw sampling data, N sampling data are obtained. Based on M sampling data from the N sampling data, the target location of the 5G base station corresponding to the 5G neighbor cell is determined; M is an integer greater than or equal to 1 and less than or equal to N. Since the cell number of the 5G neighbor cell corresponding to the 4G cell is determined based on the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the pre-configured operating parameter table, and further, the 5G base station can be uniquely identified based on the cell number and PCI of the 5G neighbor cell, the target location of the 5G base station corresponding to the 5G neighbor cell can be determined based on M sampled data out of N sampled data, thus achieving accurate prediction of the location of the 5G base station. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0017] Figure 1 This is an application scenario diagram applicable to the embodiments of this application;

[0018] Figure 2 The flowchart of the 5G base station positioning method provided in the embodiments of this application Figure 1 ;

[0019] Figure 3 A schematic diagram illustrating the principle of the clustering method provided in the embodiments of this application;

[0020] Figure 4 The flowchart of the 5G base station positioning method provided in the embodiments of this application Figure 2 ;

[0021] Figure 5 This is a schematic diagram of the structure of the 5G base station positioning device provided in the embodiments of this application;

[0022] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0023] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0024] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0025] Figure 1 This is an application scenario diagram applicable to embodiments of this application. For example... Figure 1 As shown, this application scenario includes: multiple terminal devices 11 and a server 12;

[0026] Among them, multiple terminal devices 11 are located within the coverage area of ​​the same 4G base station, and the 4G base station includes 3 4G cells, at least one of the 3 4G cells has a 5G neighbor cell.

[0027] Each of the multiple terminal devices 11 can periodically or under certain triggering conditions send a Measurement Report (MR) to the server 12, so that the server 12 can store the MR measurement reports reported by the multiple terminal devices 11 and predict the location of the 5G base station based on the measurement reports reported by the multiple terminal devices 11.

[0028] In existing technologies, operators select sites and construct 5G base stations accordingly. However, due to numerous factors, the actual location of the 5G base stations constructed by operators deviates from the selected site location. In scenarios where the location of the 5G base station is needed for service processing—for example, when using the base station location to pinpoint a target—using the selected site location will result in positioning errors and lower accuracy.

[0029] To address the aforementioned technical problems, the inventors of this application propose the following technical concept: Since 4G base stations are mostly located around 5G base stations, 5G neighboring cells will exist among the neighboring cells of the 4G cell of the 4G base station. The operating parameters table of the 4G cell contains the identifier of the 4G cell and the cell number of the corresponding 5G neighboring cell. Therefore, based on the cell number of the 5G neighboring cell and the Physical Cell Identifier (PCI) code of the corresponding 5G neighboring cell of the 4G cell, the identifier of the 5G base station can be uniquely determined. Then, based on N sampling data collected in the 4G cell, the location of the 5G base station can be obtained, thereby achieving accurate positioning of the 5G base station.

[0030] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0031] Figure 2 The flowchart of the 5G base station positioning method provided in the embodiments of this application Figure 1 .like Figure 2 As shown, the 5G base station positioning method includes the following steps:

[0032] Step S201: Obtain N raw sampling data; each raw sampling data includes the identifier of the sampled 4G cell and the physical cell identifier (PCI) of the corresponding 5G neighbor cell; N is an integer greater than or equal to 1.

[0033] The execution subject of the method in this embodiment can be as follows: Figure 1 The server shown.

[0034] In this embodiment, the N original sampling data can be N MR data obtained by multiple terminal devices located within the coverage area of ​​the 4G base station sampling at N sampling points. The multiple terminal devices can be located within at least two 4G cells within the coverage area of ​​the same 4G base station. For example, if the 4G base station coverage area includes three 4G cells, then the multiple terminal devices can be located within at least two of those three 4G cells.

[0035] Each MR data point consists of the user equipment (UE), the physical layer and radio link control structure (RLC) layer of the base station (eNodeB), and measurement reports generated during radio resource management.

[0036] For each MR data measurement method, periodic measurement can be used, meaning the reporting period is configured when setting up the MR measurement task. For each MR data, the triggering method can be event-triggered or periodically triggered. If the MR data is triggered periodically, the reporting period needs to be configured; if the MR data is triggered by an event, the event measurement already enabled in the 4G network can be used, without needing to separately enable MR event measurement. The MR data is reported to the Radio Access Network Element Management System (OMC-R) for storage. The server can obtain N MR data from the OMC-R and parse them to obtain the 4G cell number, the 4G cell identification code, the identification code of the 5G cell in the neighboring cells of the 4G cell, the signal parameters of the 5G cell, and the geographical longitude and latitude information at the time of MR data reporting.

[0037] The signal parameters of a 5G cell include: the Reference Signal Receiving Power (RSRP) of the 5G cell, and / or the Reference Signal Receiving Quality (RSRQ) of the 5G cell.

[0038] The identifier for a 4G cell includes: the cell number and the cell identification code.

[0039] The sampling data is explained in Table 1 below:

[0040] Table 1 Sampling Data

[0041]

[0042] Step S202: Determine the cell number of the 5G neighbor cell corresponding to the 4G cell based on the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the pre-configured operating parameter table; the pre-configured operating parameter table includes the mapping relationship between the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the cell number of the 5G neighbor cell corresponding to the 4G cell.

[0043] In this embodiment, the pre-configured operating parameter table can be as shown in Table 2:

[0044] Table 2 Engineering Parameters

[0045] 4G cell number 4G cell identification code 5G Neighbor Cell PCI 5G neighbor cell number 29131 359 621 192798 29132 360 622 192799 29133 361 623 192800

[0046] Since 5G base stations are often built around 4G base stations, the neighboring cells of a 4G cell will include 5G cells, and the PCI of the 5G cell will be configured in the neighboring cells of the 4G cell in the 4G cell's engineering parameter table.

[0047] S203. Determine N sampling data based on N original sampling data and the cell number of the 5G neighbor cell corresponding to the 4G cell in each original sampling data.

[0048] Optionally, the cell number of the 5G neighboring cell corresponding to the 4G cell can be added to each original sample data to obtain each sample data. That is, the cell number of the 5G neighboring cell corresponding to the 4G cell can be added to Table 1.

[0049] Adding the cell numbers of 5G neighboring cells to Table 1 yields Table 3, the contents of which are as follows:

[0050] Table 3 Sampling Data

[0051]

[0052]

[0053] Step S204: Determine the target location of the 5G base station corresponding to the 5G neighboring cell based on M sampled data out of N sampled data; M is an integer greater than or equal to 1 and less than or equal to N.

[0054] The target location includes the longitude and latitude of the 5G base station corresponding to the 5G neighboring cell.

[0055] Before step S204, it is necessary to determine M sample data points out of N sample data points. Specifically, determining M sample data points out of N sample data points includes: selecting M sample data points from the N sample data points whose signal parameter values ​​of the 5G neighboring cells corresponding to the 4G cell are greater than or equal to preset signal parameter values.

[0056] The signal parameter value can be the RSRP value, the RSRQ value, or the average of the RSRP and RSRQ values. Therefore, from N sampled data, M sampled data points with signal parameter values ​​greater than or equal to preset signal parameter values ​​for the 5G neighboring cells corresponding to the 4G cell are selected. These include: M sampled data points with RSRP values ​​greater than or equal to the preset RSRP value for the 5G neighboring cells corresponding to the 4G cell; or M sampled data points with RSRQ values ​​greater than or equal to the preset RSRQ value for the 5G neighboring cells corresponding to the 4G cell; or M sampled data points with the average of the RSRP and RSRQ values ​​for the 5G neighboring cells corresponding to the 4G cell greater than or equal to a preset threshold.

[0057] After determining M sample data out of N sample data, the target location of the 5G base station corresponding to the 5G neighboring cell is determined based on the M sample data out of N sample data. This includes: clustering the M sample data out of N sample data using a clustering algorithm to obtain the target location of the 5G base station corresponding to the 5G neighboring cell.

[0058] Specifically, based on the clustering algorithm, M samples out of N samples are clustered to obtain the target locations of 5G base stations corresponding to 5G neighboring cells, including:

[0059] Step a: Randomly select K sample data from M sample data to determine the first centroid of the K sample datasets to be constructed; K is an integer greater than or equal to 1 and less than M.

[0060] In this embodiment, each of the K sample datasets to be constructed corresponds to a first centroid. The value of K is the expected number of sample datasets obtained after clustering the M sample datasets.

[0061] Step b: For each of the remaining sampled data points (excluding the K sampled data points) out of the M sampled data points, determine the distance between each remaining sampled data point and each sampled data point in the K sampled data points to obtain K distances; P is an integer greater than or equal to 1 and less than M.

[0062] In this embodiment, the distance between each remaining sampled data point and each of the K sampled data points can be the Euclidean distance between each remaining sampled data point and each of the K sampled data points. For the calculation process of the Euclidean distance between each remaining sampled data point and each of the K sampled data points, please refer to the relevant art for the calculation process of Euclidean distance; this embodiment will not repeat it here.

[0063] Step c: Divide each remaining sampled data into the sampled dataset to be constructed corresponding to the smallest distance among the K distances.

[0064] Specifically, for each remaining sampled data, the Euclidean distance between the remaining sampled data and the K first centroids is calculated, and the remaining sampled data is assigned to the dataset to be constructed belonging to the first centroid corresponding to the smallest Euclidean distance.

[0065] Step d, repeat steps b and c, until all P remaining sampled data are assigned to the sampled dataset to be constructed, resulting in K sampled datasets.

[0066] After repeatedly performing steps b and c, each of the P remaining sample data is assigned to one of the K sample datasets to be constructed. At this point, the K sample datasets to be constructed are the K sample datasets.

[0067] Step e: For each of the K sampled datasets, calculate the second centroid of each sampled dataset.

[0068] Step f: If the distance between the first centroid and the second centroid of each sampled dataset is greater than or equal to the preset centroid distance, then repeat steps b to f for each sampled dataset until the distance between the first centroid and the second centroid of each sampled dataset is less than the preset centroid distance, thus obtaining K target sampled datasets.

[0069] Step g: Based on the average centroid of the K target sampling datasets, obtain the target location of the 5G base station corresponding to the 5G neighboring cell.

[0070] Figure 3 This is a schematic diagram illustrating the principle of the clustering method provided in the embodiments of this application. Figure 3 As shown, by utilizing the natural distribution structure of the M sampled datasets and adaptively adjusting the clustering model, a clustering result that approximates the true and objective reality is obtained, thereby accurately determining the location of 5G base stations. Figure 3 The predicted location. From Figure 3 As can be seen, there is a deviation between the predicted location and the actual location (i.e., the selected location).

[0071] This embodiment acquires N raw sampling data; each of the N raw sampling data includes the identifier of the sampled 4G cell and the PCI of the corresponding 5G neighbor cell; N is an integer greater than or equal to 1; based on the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and a pre-configured operating parameter table, the cell number of the corresponding 5G neighbor cell is determined; the pre-configured operating parameter table includes the mapping relationship between the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and the cell number of the corresponding 5G neighbor cell; based on the N raw sampling data and the cell number of the corresponding 5G neighbor cell in each raw sampling data, N sampling data are determined; based on M sampling data from the N sampling data, the target location of the 5G base station corresponding to the 5G neighbor cell is determined; M is an integer greater than or equal to 1 and less than or equal to N. Since the cell number of the 5G neighbor cell corresponding to the 4G cell is determined based on the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the pre-configured operating parameter table, and further, the 5G base station can be uniquely identified based on the cell number and PCI of the 5G neighbor cell, the target location of the 5G base station corresponding to the 5G neighbor cell can be determined based on M sampled data out of N sampled data, thus achieving accurate prediction of the location of the 5G base station.

[0072] Figure 4 The flowchart of the 5G base station positioning method provided in the embodiments of this application Figure 2 .like Figure 4 As shown, based on the above embodiments, after determining the target location of the 5G neighboring cell corresponding to the 4G cell according to M sampled data out of N sampled data, the method of this embodiment further includes:

[0073] Step S401: Obtain the original location of the 5G base station.

[0074] Step S402: If the distance between the original location of the 5G base station corresponding to the 5G neighbor cell and the target location of the 5G base station corresponding to the 5G neighbor cell is greater than or equal to a preset distance, then output a prompt message indicating that the location of the 5G base station is deviated.

[0075] Specifically, assuming the server corresponding to the 5G base station stores the original location of the 5G base station, this embodiment obtains the original location of the 5G base station from the server corresponding to the 5G base station, calculates the distance between the original location and the target location of the 5G base station, and determines whether the distance between the original location and the target location of the 5G base station is greater than or equal to a preset distance. If the calculated distance is greater than or equal to the preset distance, it indicates that there is a large deviation between the actual location and the selected location of the 5G base station. At this time, a prompt message indicating that the location of the 5G base station is deviated can be sent to the terminal equipment of the operator, so that the operator can change the location of the 5G base station through the terminal equipment.

[0076] Based on the above embodiments, if the distance between the original location of the 5G base station corresponding to the 5G neighboring cell and the target location of the 5G base station corresponding to the 5G neighboring cell is greater than or equal to a preset distance, then the original location of the 5G base station will be updated to the target location.

[0077] By updating the original location of the 5G base station corresponding to the 5G neighboring cell to the target location, road testing, network optimization, base station maintenance, or target positioning based on the target location of the 5G base station can be carried out, thereby improving the accuracy of road testing, the effect of network optimization, the efficiency of base station maintenance, or the accuracy of target positioning based on the base station location.

[0078] Based on the above method embodiments, Figure 5 This is a schematic diagram of the structure of the 5G base station positioning device provided in an embodiment of this application. Figure 5 As shown, the 5G base station positioning device includes: an acquisition module 51 and a determination module 52;

[0079] The acquisition module 51 is used to acquire N raw sampling data; each of the N raw sampling data includes the identifier of the sampled 4G cell and the Physical Cell Identifier (PCI) of the corresponding 5G neighbor cell; N is an integer greater than or equal to 1. The determination module 52 is used to determine the cell number of the 5G neighbor cell corresponding to the 4G cell based on the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and a pre-configured operating parameter table; the pre-configured operating parameter table includes a mapping relationship between the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and the cell number of the corresponding 5G neighbor cell. The determination module is also used to determine N sampling data based on the N raw sampling data and the cell number of the corresponding 5G neighbor cell in each raw sampling data; the determination module 52 is also used to determine the target location of the 5G base station corresponding to the 5G neighbor cell based on M sampling data from the N sampling data; M is an integer greater than or equal to 1 and less than or equal to N.

[0080] In some embodiments, each of the N sampled data further includes signal parameters of the 5G neighboring cell corresponding to the 4G cell, the signal parameters being used to characterize the signal quality of the 5G neighboring cell; wherein, the device further includes: a filtering module 53, used to filter out M sampled data from the N sampled data whose signal parameter values ​​of the 5G neighboring cell corresponding to the 4G cell are greater than or equal to preset signal parameter values.

[0081] In some embodiments, the determining module 52 determines the target location of the 5G base station corresponding to the 5G neighboring cell based on M sampled data from the N sampled data, specifically including: clustering the M sampled data from the N sampled data according to a clustering algorithm to obtain the target location of the 5G base station corresponding to the 5G neighboring cell.

[0082] In some embodiments, the determining module 52 clusters M sample data out of the N sample data according to a clustering algorithm to obtain the target location of the 5G base station corresponding to the 5G neighbor cell, specifically including the following steps: Step a, randomly select K sample data from the M sample data to determine the first centroid of the K sample datasets to be constructed; where K is an integer greater than or equal to 1 and less than M; Step b, for each of the P remaining sample data excluding the K sample data in the M sample data, determine the distance between each remaining sample data and each sample data in the K sample data, to obtain K distances; where P is an integer greater than or equal to 1 and less than M; Step c, cluster each of the remaining sample data... The sample data is divided into the sample dataset to be constructed corresponding to the minimum distance among the K distances; Step d: Repeat steps b and c to obtain K sample datasets; Step e: For each sample dataset in the K sample datasets, calculate the second centroid of each sample dataset; Step f: If the distance between the first centroid and the second centroid of each sample dataset is greater than or equal to a preset centroid distance, repeat steps b to f for each sample dataset until the distance between the first centroid and the second centroid of each sample dataset is less than the preset centroid distance, to obtain K target sample datasets; Step g: Based on the average value of the centroids of the K target sample datasets, obtain the target location of the 5G base station corresponding to the 5G neighbor cell.

[0083] In some embodiments, the N raw sampling data include: N measurement report (MR) data obtained by multiple terminal devices under a 5G base station sampling at N sampling points.

[0084] In some embodiments, the device further includes an output module 54; wherein the acquisition module 51 is further configured to acquire the original location of the 5G base station corresponding to the 5G neighboring cell; and the output module 54 is configured to output a prompt message indicating that the location of the 5G base station is deviated if the distance between the original location of the 5G base station corresponding to the 5G neighboring cell and the target location of the 5G base station corresponding to the 5G neighboring cell is greater than or equal to a preset distance.

[0085] In some embodiments, the apparatus further includes an update module 55, configured to update the original location of the 5G base station to the target location if the distance between the original location of the 5G base station corresponding to the 5G neighboring cell and the target location of the 5G base station corresponding to the 5G neighboring cell is greater than or equal to a preset distance.

[0086] The 5G base station positioning device provided in this application embodiment can be used to execute the technical solution of the 5G base station positioning method in the above embodiment. Its implementation principle and technical effect are similar, and will not be described again here.

[0087] This embodiment acquires N raw sampling data; each of the N raw sampling data includes the identifier of the sampled 4G cell and the PCI of the corresponding 5G neighbor cell; N is an integer greater than or equal to 1; based on the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and a pre-configured operating parameter table, the cell number of the corresponding 5G neighbor cell is determined; the pre-configured operating parameter table includes the mapping relationship between the identifier of the 4G cell, the PCI of the corresponding 5G neighbor cell, and the cell number of the corresponding 5G neighbor cell; based on the N raw sampling data and the cell number of the corresponding 5G neighbor cell in each raw sampling data, N sampling data are determined; based on M sampling data from the N sampling data, the target location of the 5G base station corresponding to the 5G neighbor cell is determined; M is an integer greater than or equal to 1 and less than or equal to N. Since the cell number of the 5G neighbor cell corresponding to the 4G cell is determined based on the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the pre-configured operating parameter table, and further, the 5G base station can be uniquely identified based on the cell number and PCI of the 5G neighbor cell, the target location of the 5G base station corresponding to the 5G neighbor cell can be determined based on M sampled data out of N sampled data, thus achieving accurate prediction of the location of the 5G base station.

[0088] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls; they can be fully implemented in hardware; or some modules can be implemented in software via processing element calls, while others are implemented in hardware. For example, module 52 can be a separate processing element, or it can be integrated into a chip in the above device. Alternatively, it can be stored as program code in the memory of the above device, and its function can be called and executed by a processing element of the above device. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed through the integrated logic circuits in the hardware of the processor element or through software instructions.

[0089] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 6 As shown, the electronic device may include: a transceiver 61, a processor 62, and a memory 63.

[0090] Processor 62 executes computer execution instructions stored in memory, causing processor 62 to perform the scheme in the above embodiments. Processor 62 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0091] The memory 63 is connected to the processor 62 via the system bus and completes communication between them. The memory 63 is used to store computer program instructions.

[0092] Transceiver 61 can be used to acquire N sampled data.

[0093] The system bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. Transceivers are used to enable communication between database access devices and other computers (e.g., clients, read-write libraries, and read-only libraries). Memory may include random access memory (RAM) and may also include non-volatile memory.

[0094] This application also provides a chip for executing instructions, which is used to execute the technical solution of the 5G base station positioning method in the above embodiments.

[0095] This application also provides a computer-readable storage medium storing computer instructions. When the computer instructions are executed on a computer, the computer performs the technical solution of the 5G base station positioning method described in the above embodiment.

[0096] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and when the at least one processor executes the computer program, it can implement the technical solution of the 5G base station positioning method in the above embodiments.

[0097] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0098] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A 5G base station positioning method, characterized in that, include: Obtain N raw sampling data; each of the N raw sampling data includes the identifier of the sampled 4G cell, the physical cell identifier (PCI) of the corresponding 5G neighbor cell, the signal parameters of the corresponding 5G neighbor cell, and the geographical longitude and latitude information at the time of MR data reporting; N is an integer greater than or equal to 1; the signal parameters are used to characterize the signal quality of the 5G neighbor cell; The cell number of the 5G neighbor cell corresponding to the 4G cell is determined based on the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and a pre-configured operating parameter table. The pre-configured operating parameter table includes the mapping relationship between the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the cell number of the 5G neighbor cell corresponding to the 4G cell. Based on the N original sampled data and the cell number of the 5G neighbor cell corresponding to the 4G cell in each original sampled data, the cell number of the 5G neighbor cell corresponding to the 4G cell is added to each original sampled data to obtain N sampled data; From the N sampled data, select M sampled data whose signal parameter values ​​of the 5G neighboring cells corresponding to the 4G cell are greater than or equal to preset signal parameter values; Based on M sampled data out of the N sampled data, the target location of the 5G base station corresponding to the 5G neighbor cell is determined; M is an integer greater than or equal to 1 and less than or equal to N.

2. The method according to claim 1, characterized in that, The step of determining the target location of the 5G base station corresponding to the 5G neighboring cell based on M sampled data from the N sampled data includes: Clustering algorithm is used to cluster M samples out of the N samples to obtain the target location of the 5G base station corresponding to the 5G neighbor cell.

3. The method according to claim 2, characterized in that, The step of clustering M samples out of the N samples using a clustering algorithm to obtain the target location of the 5G base station corresponding to the 5G neighboring cell includes: Step a: Randomly select K sample data from M sample data to determine the first centroid of the K sample datasets to be constructed; where K is an integer greater than or equal to 1 and less than M. Step b: For each of the remaining sampled data points (excluding the K sampled data points) out of the M sampled data points, determine the distance between each remaining sampled data point and each of the K sampled data points to obtain K distances; where P is an integer greater than or equal to 1 and less than M. Step c: Divide each of the remaining sampled data into the sampled dataset to be constructed corresponding to the minimum distance among the K distances; Step d, repeat steps b and c, to obtain K sample datasets; Step e: For each of the K sampled datasets, calculate the second centroid of each sampled dataset; Step f: If the distance between the first centroid and the second centroid of each sampled dataset is greater than or equal to the preset centroid distance, then repeat steps b to f for each sampled dataset until the distance between the first centroid and the second centroid of each sampled dataset is less than the preset centroid distance, thus obtaining K target sampled datasets; Step g: Based on the average value of the centroids of the K target sampling datasets, obtain the target location of the 5G base station corresponding to the 5G neighboring cell.

4. The method according to any one of claims 1-3, characterized in that, The N raw sampling data include: N measurement report (MR) data obtained by multiple terminal devices under the 5G base station sampling at N sampling points.

5. The method according to any one of claims 1-3, characterized in that, After determining the target location of the 5G base station corresponding to the 5G neighboring cell based on M sampled data from the N sampled data, the method further includes: Obtain the original location of the 5G base station corresponding to the 5G neighboring cell; If the distance between the original location of the 5G base station corresponding to the 5G neighboring cell and the target location of the 5G base station corresponding to the 5G neighboring cell is greater than or equal to a preset distance, a prompt message indicating that the location of the 5G base station is deviated will be output.

6. The method according to claim 5, characterized in that, The method further includes: If the distance between the original location of the 5G base station corresponding to the 5G neighboring cell and the target location of the 5G base station corresponding to the 5G neighboring cell is greater than or equal to a preset distance, then the original location of the 5G base station is updated to the target location.

7. A 5G base station positioning device, characterized in that, include: The acquisition module is used to acquire N raw sampling data; each of the N raw sampling data includes the identifier of the sampled 4G cell, the physical cell identifier (PCI) of the corresponding 5G neighbor cell, the signal parameters of the corresponding 5G neighbor cell, and the geographical longitude and latitude information at the time of MR data reporting; N is an integer greater than or equal to 1; the signal parameters are used to characterize the signal quality of the 5G neighbor cell; The determination module is used to determine the 5G neighbor cell corresponding to the 4G cell based on the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and a pre-configured operating parameter table; the pre-configured operating parameter table includes the mapping relationship between the identifier of the 4G cell, the PCI of the 5G neighbor cell corresponding to the 4G cell, and the cell number of the 5G neighbor cell corresponding to the 4G cell. The determining module is further configured to add the cell number of the 5G neighbor cell corresponding to the 4G cell to each original sample data according to the N original sample data and the cell number of the 5G neighbor cell corresponding to the 4G cell in each original sample data, so as to obtain N sample data. The filtering module is used to filter out M sampled data from the N sampled data to find M sampled data whose signal parameter values ​​of the 5G neighboring cells corresponding to the 4G cell are greater than or equal to preset signal parameter values; The determining module is further configured to determine the target location of the 5G base station corresponding to the 5G neighboring cell based on M sampled data out of the N sampled data; where M is an integer greater than or equal to 1 and less than or equal to N.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-6.

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