A method for optimizing cell coverage of adjacent base stations

Abstract

This invention relates to the field of mobile network optimization technology, specifically to a method for optimizing cell coverage of adjacent base stations, comprising: Step S1: For a first base station to be optimized, acquiring at least one second base station adjacent to the first base station; Step S2: Acquiring the cell engineering parameter azimuth angle and base station location of the first base station and the second base station respectively; Step S3: Selecting a co-coverage base station corresponding to the first base station from the second base stations based on the cell engineering parameter azimuth angle and the base station location; Step S4: Establishing a shared cell using the co-coverage base station and the first base station. The beneficial effect is that by acquiring the cell engineering parameter azimuth angle and base station location of multiple second base stations surrounding the first base station to be optimized, and further calculating the coverage angle and coverage distance of each base station, co-coverage base stations with coverage areas close to the first base station are selected, thereby improving the coverage effect of the shared cell.

Description

Technical Field

[0001] This invention relates to the field of mobile network optimization technology, and more specifically to a method for optimizing cell coverage between adjacent base stations. Background Technology

[0002] Since 2020, China Telecom and China Unicom, the two major telecom operators, have been sharing 4G networks to achieve resource sharing, complementary advantages, cost reduction, and efficiency improvement, significantly enhancing 4G network capabilities. With the deepening of 5G network co-construction and sharing, China Telecom and China Unicom are further increasing the sharing of their 4G networks. Through 4G network sharing, both parties can effectively reduce network costs, improve operational efficiency, and enhance user experience. Both parties continue to use the MOCN (Multi-Operator Core Network) approach, meaning the two operators only share base stations, while the core network remains independent. The shared base stations are simultaneously virtualized as base stations for both Unicom and Telecom, serving users of both operators concurrently.

[0003] Existing technologies include shared cell (MOCN) solutions that allow users to access the core network via base stations from any of the shared cells. These solutions typically involve operators requesting shared base stations during network optimization, based on their operational and maintenance needs and the location of base stations on a map, thus establishing shared cells.

[0004] However, in actual implementation, the inventors found that the above scheme relies on manual interpretation of map data, point selection and establishment of shared cells. The division process is relatively dependent on human experience, which leads to the fact that the divided shared cells still cannot meet the actual needs for base station coverage. Summary of the Invention

[0005] To address the aforementioned problems in existing technologies, a method for optimizing cell coverage between adjacent base stations is provided.

[0006] The specific technical solution is as follows:

[0007] A method for optimizing cell coverage between adjacent base stations, comprising:

[0008] Step S1: For the first base station to be optimized, obtain at least one second base station adjacent to the first base station;

[0009] Step S2: Obtain the cell engineering parameters, azimuth angle, and base station location of the first base station and the second base station, respectively;

[0010] Step S3: Select a co-coverage base station from the second base stations corresponding to the first base station based on the cell's engineering parameter azimuth angle and the base station's location;

[0011] Step S4: Establish a shared cell using the same coverage base station and the first base station.

[0012] On the other hand, step S3 includes:

[0013] Step S31: For each second base station, generate the cell grid where the second base station is located based on the base station's location;

[0014] Step S32: Generate a first coverage situation of the first base station and the second base station based on the location of the base station and the orientation angle of the cell, and generate a second coverage situation of the first base station and the second base station based on the cell grid;

[0015] Step S33: Select the base stations with the same coverage based on the first coverage condition and the second coverage condition.

[0016] On the other hand, step S32 includes a first coverage determination process, which includes:

[0017] Step A1: Generate a first vector from the first base station to the second base station and a second vector from the second base station to the first base station based on the base station location and the cell engineering parameter azimuth angle;

[0018] Step A2: Generate the distance between the first base station and the coverage direction of the second base station based on the first vector and the second vector;

[0019] Step A3: Generate the first coverage situation based on the station spacing and the coverage direction.

[0020] On the other hand, in step A2, the process of generating the coverage direction includes:

[0021] Step A21: Connect the first base station and the second base station to generate a base station connection;

[0022] Step A22: Generate a first included angle based on the cell azimuth angle of the first base station and the line connecting the base stations, and generate a second included angle based on the cell azimuth angle of the second base station and the line connecting the base stations;

[0023] Step A23: Use the first included angle and the second included angle as the coverage direction.

[0024] On the other hand, step S32 includes a second coverage determination process, which includes:

[0025] Step B1: Obtain sample data measured by multiple user equipments near the first base station;

[0026] Step B2: Rasterize and aggregate the sample data to obtain multiple cell grids and access cells corresponding to the cell grids;

[0027] Step B3: Generate the second coverage information based on the cell grid and the access cell.

[0028] On the other hand, step B1 includes:

[0029] Step B11: Obtain raw data measured by multiple user equipments near the first base station;

[0030] Step B12: Generate the median coordinates of each access cell based on the location information in the original data;

[0031] Step B13: For a single access cell, remove discrete samples from the original data according to the median coordinates to generate the sample data.

[0032] On the other hand, in step B2, rasterization aggregation is performed using the following method:

[0033] (x,y)=(floor(AGPSLONn / 0.000529),floor(AGPSLATn / 0.00045));

[0034] In the formula, (x, y) are the coordinates of the original grid, and (AGPSLONn, AGPSLATn) are the positioning coordinates.

[0035] On the other hand, step B3 includes:

[0036] Step B31: For the first cell published by the first base station, sort the first cell grid according to the number of samples of the first cell grid in the first cell; and for the second cell published by the second base station, sort the first cell grid according to the number of samples of the second cell grid in the second cell.

[0037] Step B32: Select the first optimal grid from the first cell grid after self-sorting according to the cell grid threshold, and select the second optimal grid from the second cell grid after self-sorting according to the cell grid threshold;

[0038] Step B33: Match the first optimal grid and the second optimal grid to obtain the second coverage.

[0039] On the other hand, prior to executing step B32, a cell threshold update process is also included, which includes:

[0040] Step C1: Obtain the positioning coordinates of the first base station;

[0041] Step C2: Match the positioning coordinates with the predefined map range to obtain the cell grid threshold.

[0042] The above technical solution has the following advantages or beneficial effects:

[0043] To address the issue that existing technologies rely heavily on manual map analysis during the construction of shared cells, resulting in poor actual coverage, this embodiment collects the cell engineering parameter angles and base station locations of multiple second base stations surrounding the first base station to be optimized. Furthermore, it calculates the coverage angle and coverage distance of each base station, thereby selecting base stations with coverage areas close to that of the first base station, thus improving the coverage effect of the shared cell. Attached Figure Description

[0044] Embodiments of the invention will be described more fully with reference to the accompanying drawings. However, the drawings are for illustration and explanation only and do not constitute a limitation on the scope of the invention.

[0045] Figure 1 This is an overall schematic diagram of an embodiment of the present invention;

[0046] Figure 2 This is a schematic diagram of sub-step S3 in an embodiment of the present invention;

[0047] Figure 3 This is a schematic diagram of the first coverage determination process in an embodiment of the present invention;

[0048] Figure 4 This is a schematic diagram of sub-step A2 in an embodiment of the present invention;

[0049] Figure 5 This is a schematic diagram of the base station connection in an embodiment of the present invention;

[0050] Figure 6 This is a schematic diagram of the second coverage determination process in an embodiment of the present invention;

[0051] Figure 7 This is a schematic diagram of a cell grid in an embodiment of the present invention;

[0052] Figure 8 This is a schematic diagram of sub-step B1 in an embodiment of the present invention;

[0053] Figure 9 This is a schematic diagram of sub-step B3 in an embodiment of the present invention;

[0054] Figure 10 This is a schematic diagram of sub-step C1 in an embodiment of the present invention;

[0055] Figure 11 This is a schematic diagram of a base station in an embodiment of the present invention;

[0056] Figure 12 This is a schematic diagram of a grid in an embodiment of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0059] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but this is not intended to limit the scope of the invention.

[0060] This invention includes:

[0061] A method for optimizing cell coverage between adjacent base stations, comprising:

[0062] Step S1: For the first base station to be optimized, obtain at least one second base station adjacent to the first base station;

[0063] Step S2: Obtain the cell engineering parameters, azimuth angle, and base station location of the first base station and the second base station respectively;

[0064] Step S3: Select a co-coverage base station from the second base stations that corresponds to the first base station based on the cell's engineering parameters, azimuth angle, and base station location;

[0065] Step S4: Establish a shared cell using the same coverage base station and the first base station.

[0066] Specifically, in the existing technology, the selection of adjacent base stations to build a shared cell mainly relies on manual experience, which can easily lead to poor actual coverage. In this embodiment, when a first base station to be optimized appears, a second base station adjacent to the first base station is obtained. The sector direction and base station spacing of the first and second base stations are determined according to the cell engineering parameters of the first and second base stations and the base station positions. If they meet the coverage requirements of the target area, the second base station is selected as the co-coverage base station. Subsequently, the corresponding requirements can be proposed according to the existing sharing strategy, thereby constructing a shared cell and optimizing the network coverage of the target area.

[0067] During implementation, the aforementioned cell coverage optimization method can be configured as a computer program in relevant computer equipment, such as the operator's operation and maintenance system. This allows the operator to configure shared cells for the first base station with poor coverage during operation and maintenance. The first and second base stations are generally base station equipment from different operators. They are used to establish shared cells according to the MOCN (Multi-access Network) method to meet the user equipment (UE) access requirements of the core network to which the first base station belongs without deploying new base station equipment. However, the actual base station model and type are not limited here; only the access requirements of the UE and the corresponding communication protocols need to be met. For example, when the first and second base stations are from the same operator, the UE can switch via cell handover or use the above method to establish a shared cell to offload the load of the first base station. The first base station refers to the base station equipment with poor coverage in the target area, which needs to establish a shared cell by selecting a nearby second base station to improve coverage in the target area. The cell's engineering parameter azimuth angle refers to the azimuth angle selected by each base station device during initial deployment. Since the antenna sectors of base station devices are directional, the method described above, by selecting the cell's engineering parameter azimuth angle as the criterion for determining co-coverage cells, can achieve a relatively accurate judgment process. Base station location refers to the GPS positioning coordinates of each base station device.

[0068] In one embodiment, such as Figure 2 As shown, step S3 includes:

[0069] Step S31: For each second base station, generate the cell grid where the second base station is located based on the base station's location;

[0070] Step S32: Generate the first coverage situation of the first base station and the second base station based on the base station location and the cell engineering parameter directional angle, and generate the second coverage situation of the first base station and the second base station based on the cell grid;

[0071] Step S33: Select base stations with the same coverage based on the first coverage condition and the second coverage condition.

[0072] Specifically, in the existing technology, the selection of adjacent base stations to build a shared cell mainly relies on manual experience, which can easily lead to poor actual coverage. In this embodiment, during the selection of base stations with the same coverage, a first coverage condition is designed based on the base station location and the cell engineering parameter directional angle to determine the sector coverage of the first base station and the second base station, and a second coverage condition is designed based on the cell grid to determine the actual access cell on the first base station and the second base station. By combining the effective determination of the sector coverage of the base station with the access status of the user equipment in the actual access cell, the problem of discrepancies between the selection of points and calculations based solely on maps and the actual coverage is avoided, thus improving the accuracy of selecting base stations with the same coverage.

[0073] In one embodiment, step S32 includes a first coverage determination process, such as... Figure 3 As shown, the first coverage determination process includes:

[0074] Step A1: Generate a first vector pointing from the first base station to the second base station and a second vector pointing from the second base station to the first base station based on the base station locations;

[0075] Step A2: Generate the inter-base station spacing and coverage direction of the first base station and the second base station based on the first vector, the second vector, and the cell engineering parameter azimuth angle;

[0076] Step A3: Generate the first coverage status based on the station spacing and coverage direction.

[0077] Specifically, addressing the issue in existing technologies where selecting adjacent base stations to construct a shared cell relies heavily on manual experience, potentially leading to poor actual coverage, this embodiment addresses this problem. When determining the sector coverage of the first and second base stations, the location of both base stations is obtained, and a first and second vector are constructed. By calculating the length of either the first or second vector, the distance between the two base stations is easily determined, thus confirming whether the distance meets the normal sector coverage distance. Furthermore, considering the antenna sector directionality of base station equipment, this embodiment also incorporates the cell engineering parameter azimuth angle to generate the coverage direction, thereby determining whether the sectors of the first and second base stations have the same directionality to meet the coverage requirements of the second base station for the target area. Only when both the distance between base stations and the sector direction meet the coverage requirements will a first coverage condition indicating coverage be output; if either the distance between base stations or the sector direction is not met, a first coverage condition indicating no coverage is output.

[0078] In one embodiment, such as Figure 4 and Figure 5 As shown, in step A2, the process of generating the coverage direction includes:

[0079] Step A21: Connect the first base station and the second base station to generate a base station connection;

[0080] Step A22: Generate a first included angle based on the cell engineering parameter azimuth of the first base station and the connection line between the base stations, and generate a second included angle based on the cell engineering parameter azimuth of the second base station and the connection line between the base stations;

[0081] Step A23: Use the first included angle and the second included angle as the coverage direction.

[0082] Specifically, in the existing technology, the selection of adjacent base stations to construct a shared cell mainly relies on manual experience, which can easily lead to poor actual coverage. This embodiment addresses the issue that... Figure 5 The first base station A and the second base station B shown are pre-connected by establishing a connection between them. Then, the nearest cell's azimuth angle (i.e., the pointing direction of the base station's sector antenna) is matched according to the connection, thereby generating a first included angle A and a second included angle B. The coverage direction is then generated based on the size of the included angles A and B.

[0083] During implementation, the coverage direction is used to determine the load splitting between the first and second base stations. It is compared with a pre-defined angle determination threshold when subsequently determining the first coverage condition. The angle determination threshold is a threshold value determined based on on-site measurement results and a predetermined load splitting requirement. For example, in one embodiment, based on on-site measurement results, more than 20% of the load can be effectively split within a 60-degree angle range. Based on an 80% setting standard, the angle determination threshold is set to 60 degrees. In this case, only when both the first and second angles are less than 60 degrees is the coverage direction requirement deemed met.

[0084] In one embodiment, the method for calculating the first included angle A includes:

[0085] The first included angle A = abs (first base station working parameter direction angle - (The angle between the north and due north);

[0086] In the formula, The first vector;

[0087] The second included angle B = abs (the second base station's working parameter direction angle - (The angle between the north and due north);

[0088] In the formula, This is the second vector.

[0089] The method for calculating the angle between the first or second vector and true north includes:

[0090] angle=atan2(sin(i_lon2*(PI / 180)-i_lon1*(PI / 180))*cos(i_lat2*(PI / 180)),cos(i_lat1*(PI / 180))*sin(i _lat2*(PI / 180))-sin(i_lat1*(PI / 180))*cos(i_lat2*(PI / 180))*cos(i_lon2*(PI / 180)-i_lon1*(PI / 180)));

[0091] When i_lon2*(PI / 180)-i_lon1*(PI / 180) is less than 0, the angle with due north is angle+2*PI;

[0092] When i_lon2*(PI / 180)-i_lon1*(PI / 180) is greater than or equal to 0, the angle with due north is angle=angle*180 / PI.

[0093] In the formula, i_lon1 is the longitude of the starting point, i_lat1 is the latitude of the starting point, i_lon2 is the longitude of the ending point, and i_lat2 is the latitude of the ending point.

[0094] In one embodiment, step S32 includes a second coverage determination process, such as... Figure 6 As shown, the second coverage determination process includes:

[0095] Step B1: Acquire sample data measured by multiple user equipment near the first base station;

[0096] Step B2: Rasterize and aggregate the sample data to obtain multiple cell grids and the corresponding access cells;

[0097] Step B3: Generate a second coverage profile based on the cell grid and access cells.

[0098] Specifically, addressing the problem in existing technologies where selecting adjacent base stations to construct a shared cell relies heavily on manual experience, potentially leading to poor actual coverage, this embodiment, in addition to determining coverage based on station spacing and coverage direction, also uses sample data generated by user equipment actually accessing the first and second base stations to determine whether user equipment can correctly search for and access the corresponding cell on the second base station in practice. In this process, sample data measured on multiple user equipment within a specific range of the first base station is pre-selected. This sample data includes the cell accessed by the user equipment and its GPS positioning coordinates. Subsequently, the data is rasterized and aggregated according to the cell accessed by the user equipment and its positioning coordinates, thereby forming a... Figure 7The cell grid shown is used to determine the number of user equipment connected in each cell grid. This helps to identify the cells that user equipment can easily access when moving in the area, and whether there is any overlap between the accessed cells and the cells of the first base station to be optimized. This serves as the second coverage situation, which facilitates the correction of the first coverage situation in subsequent steps to achieve a better coverage effect.

[0099] In one embodiment, such as Figure 8 As shown, step B1 includes:

[0100] Step B11: Obtain raw data measured by multiple user equipment near the first base station;

[0101] Step B12: Generate the median coordinates of each access cell based on the location information in the raw data;

[0102] Step B13: For a single access cell, remove discrete samples from the original data according to the median coordinates to generate sample data.

[0103] Specifically, to achieve better sample aggregation results, in this embodiment, the collected raw data is cleaned before raster aggregation of the access cells. Specifically, for each access cell, several user equipments within that cell are acquired, which should be represented as a dense point cloud on the map. Then, based on the location information of each user equipment, the median coordinates of the cell can be determined. These median coordinates are used as the center of the cell, and the distance of each user equipment from these median coordinates is calculated and sorted. A corresponding confidence threshold can be set according to the actual sample cleaning requirements; for example, in one embodiment, the confidence threshold is configured to 95%. In this embodiment, the bottom 5% of the raw data after sorting will be discarded, and the remaining raw data will be output as sample data.

[0104] In one embodiment, in step B22, rasterization aggregation is performed using the following method:

[0105] (x,y)=(floor(AGPSLONn / 0.000529),floor(AGPSLATn / 0.00045));

[0106] In the formula, (x,y) are the coordinates of the original raster, and (AGPSLONn,AGPSLATn) are the positioning coordinates.

[0107] In one embodiment, such as Figure 9 As shown, step B3 includes:

[0108] Step B31: For the first cell published by the first base station, sort the first cell grid according to the number of samples of the first cell grid in the first cell; and for the second cell published by the second base station, sort the first cell grid according to the number of samples of the second cell grid in the second cell.

[0109] Step B32: Select the first optimal grid from the first grid after self-sorting according to the grid threshold, and select the second optimal grid from the second grid after self-sorting according to the grid threshold.

[0110] Step B33: Match the first and second best grids to obtain the second coverage.

[0111] Specifically, in response to the potential bias issues in existing technologies that rely solely on regional point selection to establish shared cells, this embodiment, during the matching process of each pair of first and second base stations, selects the Top N cell grids in each cell based on the number of sample data of user equipment accessed in each cell grid, including the first optimal grid in the first cell and the second optimal grid in the second cell. Subsequently, it is determined whether there are identical cell grids in the first optimal grid and the second optimal grid. If so, it indicates that the user equipment can simultaneously access the first base station and the second base station in that type of cell grid, thus meeting the requirement for establishing a shared cell.

[0112] In one embodiment, a cell threshold update process is included before performing step B32, such as... Figure 10 As shown, the cell threshold update process includes:

[0113] Step C1: Obtain the location coordinates of the first base station;

[0114] Step C2: Match the positioning coordinates with the predefined map range to obtain the cell grid threshold.

[0115] Specifically, to achieve a better matching effect for the optimal grid, in this embodiment, before selecting the optimal grid, the number of optimal grids to be selected is determined based on the location of the target area. Generally, the map range can be determined according to the coverage range of a single base station. For example, in one embodiment, the map range is defined as the Shanghai inner ring, inner middle ring, middle outer ring, and outer ring scene analysis cell MR sample data for one week. When the top 5 grids for the inner ring, inner middle ring, and middle outer ring are selected, and the top 7 grids for the outer ring are selected, the sample number of each of the four scenarios accounts for more than 50% of the total sample. Therefore, N=5 and 7 are selected as cell grid thresholds for these four scenarios respectively, in order to achieve a better coverage effect.

[0116] The statistical data is shown in Table 1 below:

[0117] Circular Marking TOPN Sample proportion Outer Ring Road 7 55.36％ Inner and Middle Ring Roads 5 55.33％ Inner Ring 5 55.74％ Inner and Outer Ring Roads 5 54.54％

[0118] Table 1

[0119] In one embodiment, such as Figure 11 and Figure 12 As shown, the above-mentioned cell coverage optimization method was used to perform optimization verification in a base station in a certain area, as detailed below:

[0120] The PRB utilization rate of Purun-49 (376561-49) in Pujiang Town, Minhang District, is consistently high during peak hours, reaching 99%. The load on the main coverage direction, Shuiyu-179 in Pujiang Town, Minhang District, is lower, with an average PRB utilization rate of around 20%. Because both Shuiyu-179 and the Unicom "Minpu Tao" antennas are mounted at a height of 23 meters, and the surrounding buildings are mostly over ten stories high, effective coverage and load sharing are impossible. Based on engineering parameters and MR overlapping cell algorithms, it is recommended to share the second and third sectors of the Unicom site "Huisong Nanyuan" to enhance coverage and share the load of "Jianpu Hang-51". After sharing, the peak-hour PRB utilization rate of Purun-49 (376561-49) in Pujiang Town, Minhang District, drops to 80%.

[0121] The above technical solution has the following advantages or beneficial effects:

[0122] To address the issue that existing technologies rely heavily on manual map analysis during the construction of shared cells, resulting in poor actual coverage, this embodiment collects the cell engineering parameter angles and base station locations of multiple second base stations surrounding the first base station to be optimized. Furthermore, it calculates the coverage angle and coverage distance of each base station, thereby selecting base stations with coverage areas close to that of the first base station, thus improving the coverage effect of the shared cell.

[0123] The above are merely preferred embodiments of the present invention and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should recognize that any equivalent substitutions and obvious changes made based on the description and illustrations of the present invention should be included within the protection scope of the present invention.

Claims

1. A method of optimizing cell coverage of neighboring base stations, characterized by, include: Step S1: For the first base station to be optimized, obtain at least one second base station adjacent to the first base station; Step S2: Obtain the cell engineering parameters, azimuth angle, and base station location of the first base station and the second base station, respectively; Step S3: Select a co-coverage base station from the second base stations corresponding to the first base station based on the cell's engineering parameter azimuth angle and the base station's location; Step S4: Establish a shared cell using the same coverage base station and the first base station; Step S3 includes: Step S31: For each second base station, generate the cell grid where the second base station is located based on the base station's location; Step S32: Generate a first coverage situation of the first base station and the second base station based on the location of the base station and the orientation angle of the cell, and generate a second coverage situation of the first base station and the second base station based on the cell grid; Step S33: Select the base stations with the same coverage based on the first coverage condition and the second coverage condition; Step S32 includes a second coverage determination process, which includes: Step B1: Obtain sample data measured by multiple user equipments near the first base station; Step B2: Use the location coordinates of the sample data to perform rasterization and aggregation to obtain multiple cell grids and access cells corresponding to the cell grids; Step B3: Generate the second coverage information based on the cell grid and the access cell; In step B3, the number of user equipment accessed in each cell grid is determined to identify the cells that user equipment can easily access when moving within the area, and whether the accessed cells overlap with the cells of the first base station to be optimized. This information is used as the second coverage condition, which facilitates the correction of the first coverage condition in subsequent steps to achieve a better coverage effect.

2. The cell coverage optimization method of claim 1, wherein, Step S32 includes a first coverage determination process, which includes: Step A1: Generate a first vector from the first base station to the second base station and a second vector from the second base station to the first base station based on the location of the base station; Step A2: Generate the inter-station spacing and coverage direction of the first base station and the second base station based on the first vector, the second vector and the cell engineering parameter direction angle; Step A3: Generate the first coverage situation based on the station spacing and the coverage direction.

3. The cell coverage optimization method of claim 2, wherein, In step A2, the process of generating the coverage direction includes: Step A21: Connect the first base station and the second base station to generate a base station connection; Step A22: Generate a first included angle based on the cell azimuth angle of the first base station and the line connecting the base stations, and generate a second included angle based on the cell azimuth angle of the second base station and the line connecting the base stations; Step A23: Use the first included angle and the second included angle as the coverage direction.

4. The cell coverage optimization method of claim 1, wherein, Step B1 includes: Step B11: Obtain raw data measured by multiple user equipments near the first base station; Step B12: Generate the median coordinates of each access cell based on the positioning coordinates in the original data; Step B13: For a single access cell, remove discrete samples from the original data according to the median coordinates to generate the sample data.

5. The cell coverage optimization method of claim 1, wherein, In step B2, the following method is used for rasterization aggregation: ； In the formula, The coordinates of the original raster. The positioning coordinates are given.

6. The cell coverage optimization method according to claim 1, characterized in that, Step B3 includes: Step B31: For the first cell published by the first base station, sort the first cell grid according to the number of samples of the first cell grid in the first cell; and for the second cell published by the second base station, sort the first cell grid according to the number of samples of the second cell grid in the second cell. Step B32: Select the first optimal grid from the first cell grid after self-sorting according to the cell grid threshold, and select the second optimal grid from the second cell grid after self-sorting according to the cell grid threshold; Step B33: Match the first optimal grid and the second optimal grid to obtain the second coverage.

7. The cell coverage optimization method according to claim 6, characterized in that, Before performing step B32, a cell threshold update process is also included, which includes: Step C1: Obtain the positioning coordinates of the first base station; Step C2: Match the positioning coordinates with the predefined map range to obtain the cell grid threshold.

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