Antenna matching method and device, electronic equipment and storage medium

Abstract

The invention discloses an antenna matching method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the configuration data of a main control cell, and determining at least one controlled frequency band according to the configuration data; screening candidate cells in a first preset position range from the controlled cells corresponding to the at least one controlled frequency band by taking the master control cell as a center; dividing the candidate cells according to sites to obtain site division results, and determining the site closest to the master control cell in the site division results as a target site; determining a target cell sharing an antenna with the target station from the candidate cells based on the signal quality data of the adjacent cells; wherein the adjacent cells are all cells in a second preset position range of the main control cell; according to the invention, accurate matching of the master control cell and the target controlled cell in a multi-frequency antenna scene is realized, an antenna does not need to be newly added or replaced, hardware input cost in a matching process is reduced, and matching effectiveness is guaranteed through step-by-step screening and signal quality verification.

Description

Technical Field

[0001] This disclosure relates to the field of wireless communication, and more particularly to an antenna matching method and apparatus, electronic device and storage medium. Background Technology

[0002] In the field of wireless communication, the deployment method of sharing the same base station antenna among multi-band wireless cells is widely used. This method can optimize the utilization of base station antenna resources, reduce engineering costs, and provide support for the coverage quality of multiple network layers.

[0003] In related technologies, the establishment of the topology relationship between multi-band antennas and cells mainly relies on manual recording or matching techniques. However, with the development of full-standard, full-band networks and the diversification of base station types, the manual recording or matching method is difficult to adapt to the network environment and base station types, resulting in the inability to automatically identify the topology relationship and thus failing to accurately establish the topology relationship between cells and antennas in multi-band shared antenna scenarios. Summary of the Invention

[0004] This disclosure provides an antenna matching method, apparatus, electronic device, and storage medium to solve problems in related technologies. It achieves accurate matching between the master control cell and the target controlled cell in a multi-frequency antenna scenario without adding or replacing antennas, reducing hardware investment costs in the matching process. At the same time, the effectiveness of the matching is ensured through step-by-step screening and signal quality verification.

[0005] According to a first aspect of this disclosure, an antenna matching method is provided, comprising: Obtain the configuration data of the master cell, and determine at least one controlled frequency band based on the configuration data; Centered on the main control cell, candidate cells within a first preset location range are selected from the controlled cells corresponding to the at least one controlled frequency band; The candidate cells are divided according to the site to obtain the site division result, and the site that is closest to the main control cell in the site division result is determined as the target site; Based on the signal quality data of neighboring cells, a target cell that shares an antenna with the target site is determined from the candidate cells; wherein, the neighboring cells are all cells within the second preset location range of the master control cell.

[0006] In some embodiments of this disclosure, the step of selecting candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band, centered on the master control cell, includes: Obtain the first coordinate information of the main control cell and the second coordinate information of at least one controlled cell corresponding to the at least one controlled frequency band from the preset operating parameter table; Based on the first coordinate information and the second coordinate information, calculate the location distance between the controlling cell and the at least one controlled cell; The controlled cells whose location distance is less than or equal to the first preset location range are determined as the candidate cells.

[0007] In some embodiments of this disclosure, the step of dividing the candidate cells according to sites to obtain site division results, and determining the site closest to the controlling cell in the site division results as the target site, includes: Extract the name field of the candidate cells; Candidate cells with the same name field are assigned to the same site, and candidate cells with different name fields are assigned to their respective corresponding sites, forming a site assignment result; wherein, a site includes at least one candidate cell; Calculate the location distance between each site and the main control cell; If it is determined that there are multiple stations in a controlled frequency band, the station with the closest distance to the location is determined as the target station.

[0008] In some embodiments of this disclosure, before determining the target cell sharing an antenna with the target site from the candidate cells based on the signal quality data of neighboring cells, the method further includes: Based on the main control cell identification information and site identification information, the cell identification information of the main control cell is determined; Based on the cell identification information, extract the neighbor cell information corresponding to the master cell; Filter the center frequency information corresponding to the at least one controlled frequency band from the neighbor cell information; The signal quality data of the neighboring cell is determined based on the center frequency information.

[0009] In some embodiments of this disclosure, determining the target cell sharing an antenna with the target site from the candidate cells based on neighboring cell signal quality data includes: Extract the sampling information of the reference signal received power from the signal quality data of the neighboring cells; Based on the sampling information, the signal quality index of the candidate cell is calculated; Based on the signal quality indicators, the target cell is determined from the candidate cells corresponding to the target site.

[0010] In some embodiments of this disclosure, the signal quality indicators include: total sampled data of the reference signal received power of the neighboring cell, first sampled data of the reference signal received power being greater than a first preset threshold, average sampled data of the reference signal received power, and the sampling ratio of the first sampled data to the total sampled data; The step of determining the target cell from the candidate cells corresponding to the target site based on the signal quality index includes: If the sampling percentage is within a preset ranking range, the sampling percentage is greater than a preset ratio threshold, and the average sampling data is greater than a preset intensity threshold, the candidate cell is determined as the target cell.

[0011] In some embodiments of this disclosure, before obtaining the configuration data of the master control cell and determining at least one controlled frequency band based on the configuration data, the method further includes: Obtain the configuration information of the wireless station, and obtain the master control device number information corresponding to the wireless station from the configuration information; The main control cell is determined based on the main control device number information and the mapping relationship between the main control device and the cell; The step of obtaining the configuration data of the master control cell and determining at least one controlled frequency band based on the configuration data includes: Based on the configuration data of the master control cell, the connection relationship between the master control cell and the controlled cell is determined; Based on the connection relationship, identify at least one controlled cell that is connected to the master cell via the antenna; Based on the configuration parameters of the controlled cell, the at least one controlled frequency band corresponding to the controlled cell is determined.

[0012] According to a second aspect of this disclosure, an antenna matching device is provided, comprising: The first determining unit is used to acquire the configuration data of the master control cell and determine at least one controlled frequency band based on the configuration data; The first screening unit is used to screen candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band, with the main control cell as the center. The second determining unit is used to divide the candidate cells according to the site to obtain the site division result, and to determine the site closest to the main control cell in the site division result as the target site; The third determining unit is used to determine, based on the signal quality data of neighboring cells, the target cell that shares an antenna with the target site from the candidate cells; wherein, the neighboring cells are all cells within the second preset location range of the main control cell.

[0013] In some embodiments of this disclosure, the first screening unit includes: The acquisition module is used to acquire the first coordinate information of the main control cell and the second coordinate information of at least one controlled cell corresponding to the at least one controlled frequency band from a preset working parameter table; The first calculation module is used to calculate the location distance between the controlling cell and the at least one controlled cell based on the first coordinate information and the second coordinate information. The first determining module is used to determine controlled cells whose location distance is less than or equal to the first preset location range as candidate cells.

[0014] In some embodiments of this disclosure, the second determining unit includes: The first extraction module is used to extract the name field of the candidate cell; The partitioning module is used to partition candidate cells with the same name field to the same site, and to partition candidate cells with different name fields to their respective corresponding sites, thereby forming a site partitioning result; wherein, a site includes at least one candidate cell; The second calculation module is used to calculate the location distance between each site and the main control cell; The second determining module is used to determine the target station as the station with the closest location when it is determined that there are multiple stations in a controlled frequency band.

[0015] In some embodiments of this disclosure, the apparatus further includes: The fourth determining unit is used to determine the cell identification information of the master control cell based on the master control cell identification information and the site identification information before the third determining unit determines the target cell that shares an antenna with the target site from the candidate cells based on the signal quality data of the neighboring cells. The extraction unit is used to extract neighbor cell information corresponding to the main control cell based on the cell identification information; The second filtering unit is used to filter the center frequency information corresponding to the at least one controlled frequency band from the neighbor cell information; The fifth determining unit is used to determine the signal quality data of the neighboring cell based on the center frequency information.

[0016] In some embodiments of this disclosure, the third determining unit includes: The second extraction module is used to extract the sampling information of the reference signal received power from the signal quality data of the neighboring cell; The third calculation module is used to calculate the signal quality index of the candidate cell based on the sampling information; The third determining module is used to determine the target cell from the candidate cells corresponding to the target site based on the signal quality index.

[0017] In some embodiments of this disclosure, the signal quality indicators include: total sampled data of the reference signal received power of the neighboring cell, first sampled data of the reference signal received power being greater than a first preset threshold, average sampled data of the reference signal received power, and the sampling ratio of the first sampled data to the total sampled data; The third determining module is further configured to: If the sampling percentage is within a preset ranking range, the sampling percentage is greater than a preset ratio threshold, and the average sampling data is greater than a preset intensity threshold, the candidate cell is determined as the target cell.

[0018] In some embodiments of this disclosure, the apparatus further includes: The acquisition unit is used to acquire configuration information of radio stations before the first determining unit acquires configuration data of the master control cell and determines at least one controlled frequency band based on the configuration data, and to acquire master control device number information corresponding to the radio station from the configuration information. The sixth determining unit is used to determine the master control cell based on the master control device number information and the mapping relationship between the master control device and the cell; The first determining unit includes: The fourth determining module is used to determine the connection relationship between the master controlling cell and the controlled cell based on the configuration data of the master controlling cell; An identification module is used to identify at least one controlled cell that is connected to the master cell via the antenna, based on the connection relationship. The fifth determining module is used to determine the at least one controlled frequency band corresponding to the controlled cell based on the configuration parameters of the controlled cell.

[0019] According to a third aspect of this disclosure, an electronic device is provided, comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect embodiment.

[0020] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect of the present disclosure.

[0021] According to a fifth aspect of this disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the method described in the first aspect of the preceding embodiments.

[0022] In summary, the antenna matching method, apparatus, electronic device, and storage medium provided in this disclosure include: acquiring configuration data of the master control cell and determining at least one controlled frequency band based on the configuration data; selecting candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band, with the master control cell as the center; dividing the candidate cells according to sites to obtain site division results, and determining the site closest to the master control cell in the site division results as the target site; and determining the target cell sharing an antenna with the target site from the candidate cells based on the signal quality data of neighboring cells; wherein, the neighboring cells are all cells within a second preset location range of the master control cell; achieving accurate matching between the master control cell and the target controlled cell in a multi-frequency antenna scenario, without the need to add or replace antennas, reducing the hardware investment cost in the matching process, and ensuring the effectiveness of the matching through step-by-step screening and signal quality verification.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0024] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 This is a flowchart illustrating an antenna matching method provided in an embodiment of the present disclosure; Figure 2 This is a flowchart illustrating another antenna matching method provided in an embodiment of the present disclosure; Figure 3 This is a flowchart illustrating another antenna matching method provided in an embodiment of the present disclosure; Figure 4 This is a flowchart illustrating another antenna matching method provided in an embodiment of the present disclosure; Figure 5 This is a flowchart illustrating another antenna matching method provided in an embodiment of the present disclosure; Figure 6 This is a flowchart illustrating another antenna matching method provided in an embodiment of the present disclosure; Figure 7 This is a flowchart illustrating another antenna matching method provided in an embodiment of the present disclosure; Figure 8This is a flowchart illustrating another antenna matching method provided in an embodiment of the present disclosure; Figure 9 This is a connection diagram of an antenna matching method provided in an embodiment of the present disclosure; Figure 10 This is a connection diagram of an antenna matching method provided in an embodiment of the present disclosure; Figure 11 This is a flowchart illustrating another antenna matching method provided in an embodiment of the present disclosure; Figure 12 This is a schematic diagram of the structure of an antenna matching device provided in an embodiment of the present disclosure; Figure 13 This is a schematic diagram of another antenna matching device provided in an embodiment of the present disclosure; Figure 14 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0025] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0026] The antenna matching method, apparatus, electronic device, and storage medium of this disclosure are described below with reference to the accompanying drawings.

[0027] Figure 1 This is a flowchart illustrating an antenna matching method provided in an embodiment of the present disclosure.

[0028] like Figure 1 As shown, the method includes the following steps: Step 101: Obtain the configuration data of the master control cell, and determine at least one controlled frequency band based on the configuration data.

[0029] In some embodiments, the master control cell is the reference cell in the multi-frequency co-antenna matching process. Its configuration data can be obtained from the preset configuration database of the base station network management system. The configuration data includes, but is not limited to, the associated device information, cell identifier, connection relationship parameters, and corresponding frequency band related data of the master control cell. After obtaining the configuration data, the controlled cells associated with the master control cell are identified based on the connection relationship parameters. Then, the frequency band parameters corresponding to each controlled cell are extracted, and the frequency bands corresponding to the frequency band parameters are determined as at least one controlled frequency band. For example, if the configuration data of the master control cell records three associated controlled cells, and the frequency band parameters of each controlled cell correspond to 1.8GHz, 700MHz, and 2.1GHz respectively, then 1.8GHz, 700MHz, and 2.1GHz are determined as three controlled frequency bands. It should be noted that the above examples are only illustrative and do not limit the specific content.

[0030] The above methods clarify the benchmark and range of the controlled frequency band for multi-frequency matching, providing a clear object boundary for the selection of candidate cells and ensuring that the matching process is carried out only for the target frequency band.

[0031] Step 102: Using the main control cell as the center, select candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band.

[0032] In some embodiments, using the master control cell as the center means using the actual geographical deployment location of the master control cell as the spatial reference origin. The first preset location range is a spatial distance threshold (e.g., set to 200 meters) pre-defined based on antenna coverage characteristics. First, all controlled cells corresponding to each controlled frequency band are identified. Then, using a geographical distance calculation method, the straight-line distance between each controlled cell and the master control cell is calculated. Controlled cells with a calculated straight-line distance less than or equal to 200 meters are directly identified as candidate cells. For example, the 1.8GHz controlled frequency band corresponds to 5 controlled cells, and calculations show that 2 of these controlled cells are within 200 meters of the master control cell. The 700MHz controlled frequency band corresponds to 4 controlled cells, and 2 of these controlled cells are within 200 meters of the master control cell. These 4 controlled cells together constitute the candidate cell set. It should be noted that the above examples are merely illustrative and do not limit the specific content.

[0033] By using the above method and spatial location as the filtering condition, controlled cells that are far away from the main control cell and cannot share antennas are accurately eliminated, effectively narrowing the scope of processing and reducing the computational load.

[0034] Step 103: Divide the candidate cells according to the site to obtain the site division result, and determine the site that is closest to the main control cell in the site division result as the target site.

[0035] In some embodiments, a site refers to a physical base station carrying cell equipment. Each candidate cell's attribute information contains a unique site affiliation identifier. The site affiliation identifiers of all candidate cells are extracted, and candidate cells with the same identifier are grouped together to form a single site, thus obtaining a site allocation result containing multiple sites. For example, two candidate cells with the site affiliation identifier "Base Station 001" constitute the "Base Station 001" site, and one candidate cell with the site affiliation identifier "Base Station 002" constitutes the "Base Station 002" site. Then, the geographical distance between each site and the controlling cell is calculated, and the site closest to the controlling cell is selected from the site allocation results and identified as the target site. For example, if "Base Station 001" is 120 meters from the controlling cell and "Base Station 002" is 180 meters from the controlling cell, then "Base Station 001" is the target site. It should be noted that the above examples are merely illustrative and do not limit the specific content.

[0036] The above method enables site-level aggregation of candidate cells, accurately pinpointing the physical carriers most likely to share antennas with the main control cell, making the matching target more focused and improving matching efficiency.

[0037] Step 104: Based on the signal quality data of neighboring cells, determine the target cell that shares an antenna with the target site from the candidate cells; wherein, the neighboring cells are all cells within the second preset location range of the main control cell.

[0038] In some embodiments, the second preset location range is a spatial threshold (e.g., 500 meters) set based on the conventional coverage range of neighboring cells in a mobile communication network. All cells within 500 meters of the main control cell are directly identified as neighboring cells. Signal quality data of the neighboring cells is extracted from the base station's signal monitoring module. This signal quality data consists of general parameters reflecting cell communication quality, including but not limited to signal strength and signal stability. Based on the signal quality data, candidate cells corresponding to the target site are evaluated one by one, with a focus on analyzing the signal coverage overlap between the candidate cells and the main control cell. The candidate cell with the highest signal coverage overlap is identified as the target cell sharing an antenna with the target site. For example, if there are two candidate cells under the target site "Base Station 001," and one of the candidate cells has a signal coverage overlap of 90% with the main control cell, then that cell is the target cell. It should be noted that the above examples are merely illustrative and do not limit the specific content.

[0039] Using the above method, the final confirmation of the target cell was completed based on the signal quality of neighboring cells, ensuring that the matching results meet the actual communication requirements of multi-frequency shared antennas, and the entire process does not require the addition or replacement of antennas, effectively controlling the implementation cost.

[0040] In summary, this disclosure provides an antenna matching method, comprising: acquiring configuration data of a master control cell, and determining at least one controlled frequency band based on the configuration data; selecting candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band, with the master control cell as the center; dividing the candidate cells according to sites to obtain site division results, and determining the site closest to the master control cell in the site division results as the target site; and determining the target cell sharing an antenna with the target site from the candidate cells based on the signal quality data of neighboring cells; wherein, the neighboring cells are all cells within a second preset location range of the master control cell; achieving accurate matching between the master control cell and the target controlled cell in a multi-frequency antenna scenario, without the need to add or replace antennas, reducing the hardware investment cost in the matching process, and ensuring the effectiveness of the matching through step-by-step screening and signal quality verification.

[0041] Figure 2 This is a flowchart illustrating an antenna matching method provided in an embodiment of this disclosure, further explaining step 102. Figure 2 This may include the following steps: Step 201: Obtain the first coordinate information of the master control cell and the second coordinate information of at least one controlled cell corresponding to the at least one controlled frequency band from the preset operating parameter table.

[0042] In some embodiments, the preset operating parameter table is a full 4G and 5G operating parameter table of the wireless network. First, all cells in the table are divided into at least two frequency bands (such as 700M, 900M, 1800M, F / A, etc.) according to frequency bands. The at least two frequency bands include a primary frequency band and at least one controlled frequency band, and the controlled cell corresponds to at least one controlled frequency band. The first coordinate information (i.e., latitude and longitude information) of the primary controlled cell and the second coordinate information (i.e., latitude and longitude information) of the controlled cell corresponding to each controlled frequency band are extracted from the operating parameter table. The first coordinate information and the second coordinate information are standardized and converted into a unified geographic coordinate system (such as WGS-84, expressed in decimal degrees) to ensure the consistency and accuracy of location distance calculation.

[0043] Step 202: Based on the first coordinate information and the second coordinate information, calculate the location distance between the controlling cell and the at least one controlled cell.

[0044] In some embodiments, the latitude and longitude coordinates corresponding to the first coordinate information are (x1, y1), and the latitude and longitude coordinates corresponding to the second coordinate information are (x2, y2). The formula for calculating the location distance between the controlling cell and at least one controlled cell is: Where D is the straight-line distance between the controlling cell and the controlled cell, x1 and y1 are the decimal values ​​of the latitude and longitude of the controlling cell, and x2 and y2 are the decimal values ​​of the latitude and longitude of the controlled cell; the first preset location range is set to 1km by default, and can be adjusted according to the actual network coverage requirements. The unit of the location distance calculation result is consistent with the unit of the first preset location range (e.g., unit: meters).

[0045] Step 203: The controlled cells whose location distance is less than or equal to the first preset location range are determined as the candidate cells.

[0046] In some embodiments, if the location distance is less than or equal to a first preset location range (e.g., D < 1000m), the controlled cell is considered to be near the main control cell, and the controlled cell is a cell with a shared multi-frequency electrically adjustable antenna, and the controlled cell is determined as a candidate cell; if the location distance is greater than the first preset location range (e.g., 1000m), the controlled cell is removed and not included in the candidate cell range.

[0047] Using the above method, the engineering parameter data is first classified by frequency band and standardized by latitude and longitude. Then, the location distance is calculated and filtered based on a unified formula, which ensures the accuracy and relevance of the candidate cell selection. It effectively eliminates remote cells that may not share antennas, laying a precise data foundation for site-level division.

[0048] Figure 3 This is a flowchart illustrating an antenna matching method provided in an embodiment of this disclosure, further explaining step 103. Figure 3 This may include the following steps: Step 301: Extract the name field of the candidate cell.

[0049] In some embodiments, the name field of each candidate cell includes a Chinese part field and identification information, where the Chinese part field is the identifier of the site's affiliation. For example, the candidate cell names are "XX Building-700M-Sector 1" and "XX Building-1800M-Sector 2", where the Chinese part field is "XX Building". This Chinese part field of all candidate cells is extracted for site allocation. It should be noted that the above examples are merely illustrative and do not limit the specific content.

[0050] Step 302: Assign candidate cells with the same name field to the same site, and assign candidate cells with different name fields to their respective corresponding sites to form a site assignment result; wherein, a site includes at least one candidate cell.

[0051] In some embodiments, candidate cells with the same name field are selected and assigned to the same site. The same site may contain at least one sector-oriented cell (e.g., 3 sector-oriented cells, or 2 or 1 depending on the actual deployment). During the assignment process, the frequency band corresponding to the main control cell and the candidate cells of each controlled frequency band are assigned at the site level. If a controlled frequency band is not matched with any pending site after assignment, it is determined that the engineering parameter data is incomplete or inaccurate, and the controlled frequency band cannot continue to participate in the subsequent matching process. For example, a candidate cell with the name field "XX Building" is assigned to the "XX Building" site, and a candidate cell with the name field "XX Science and Technology Park" is assigned to the "XX Science and Technology Park" site, forming a site assignment result containing two sites.

[0052] Step 303: Calculate the location distance between each site and the main control cell.

[0053] In some embodiments, the location distance between the site and the controlling cell is calculated using the average latitude and longitude of all candidate cells within the site as the site coordinates, or by selecting the latitude and longitude of candidate cells within the site as the site coordinates, and employing the location distance calculation formula. Calculate the location distance between each station and the main control cell, where x1 and y1 are the decimal values ​​of the latitude and longitude of the main control cell, and x2 and y2 are the decimal values ​​of the latitude and longitude corresponding to the station coordinates.

[0054] Step 304: If it is determined that there are multiple stations in a controlled frequency band, the station with the closest location is determined as the target station.

[0055] In some embodiments, if there are multiple sites in the site allocation results corresponding to a certain controlled frequency band, the location distance between each site and the main control cell is compared, and the site with the smallest difference in latitude and longitude and the closest location distance is defined as the site of the undetermined controlled cell of that frequency band, i.e. the target site; if a certain controlled frequency band corresponds to only one site, then that site is directly determined as the target site.

[0056] Using the above method, accurate site aggregation is achieved based on the cell name field, and the optimal site is locked by combining latitude and longitude distance calculation. This ensures the spatial correlation between the target site and the main control cell, provides a reliable physical carrier basis for the final confirmation of the target cell, and clarifies the handling logic when the engineering parameter data is abnormal, thus improving the practicality of the solution.

[0057] Figure 4This is a flowchart illustrating an antenna matching method provided in an embodiment of the present disclosure. First, the corresponding data in a preset working parameter table is extracted, and the cell is divided into at least one controlled frequency band and corresponding controlled cell according to the frequency band. Then, the location distance is calculated based on the first coordinate information of the master cell and the second coordinate information of the controlled cell, and candidate cells within a first preset location range are selected. Next, the name field of the candidate cells is extracted for site-level division, and the location distance between each site and the master cell is calculated. When there are multiple sites, the closest site is determined as the target site, and finally the site-level division of controlled cells in each frequency band is completed.

[0058] Figure 5 This is a schematic flowchart of an antenna matching method provided in an embodiment of this disclosure. Figure 5 This may include the following steps: Step 401: Determine the cell identification information of the main control cell based on the main control cell identification information and the site identification information.

[0059] In some embodiments, the master cell identification information includes CI (cell ID), and the site identification information includes ENBID (base station ID), which is determined by the formula. Calculate the unique cell identifier (E-UTRAN CellIdentifier, ECI) of the master cell. For example, if the master cell's ENBID is 1001 and its CI is 3, then its ECI = 256 × 1001 + 3 = 256259. This ECI is the cell identifier information of the master cell. It should be noted that the above example is only for illustrative purposes and does not limit the specific content.

[0060] Step 402: Extract the neighbor cell information corresponding to the master cell based on the cell identification information.

[0061] In some embodiments, neighbor cell information is obtained from log measurement reports (such as MRO data, OTT data, etc.). By matching the ECI of the master cell in the serving cell ECI field (such as the ScECI field) of the log measurement report, the neighbor cell information of the master cell can be obtained.

[0062] Step 403: Filter the center frequency information corresponding to the at least one controlled frequency band from the neighboring cell information.

[0063] In some embodiments, the controlled frequency band is at least one defined frequency band (such as 700M, 900M, 1800M, F band, etc.), and the conversion correspondence between each frequency band and the center frequency point is shown in Table 1 below: Table 1

[0064] Based on the conversion correspondence, the center frequency information corresponding to the controlled frequency band is matched in the neighbor frequency point field (such as the NcEarfcn field) of the neighbor cell information, and the neighbor cell data belonging to the controlled frequency band is filtered out according to the center frequency point information.

[0065] Step 404: Determine the signal quality data of the neighboring cell based on the center frequency information.

[0066] In some embodiments, the signal quality data includes sampling information of the reference signal received power (RSRP), and extracts the total sampling point data of neighboring cell RSRP (NcReportNum field), the sampling point data of RSRP > -100 (Ncreport110Num field), and the average RSRP data of neighboring cells (NcRSRPAvg field) from the log measurement report.

[0067] The above method enables precise screening from engineering parameter data to neighboring cell signal quality data, providing a reliable signal dimension basis for determining the target cell and ensuring that the matching process simultaneously considers both spatial location and signal quality verification.

[0068] Figure 6 This is a flowchart illustrating an antenna matching method provided in an embodiment of this disclosure, further explaining step 104. Figure 6 This may include the following steps: Step 501: Extract the sampling information of the reference signal received power from the signal quality data of the neighboring cell.

[0069] In some embodiments, the sampling information of the reference signal received power includes total sampling data (NcReportNum), first sampling data (Ncreport110Num) with RSRP > -100, and average sampling data (NcRSRPAvg), all of which are extracted from neighboring cell signal quality data.

[0070] Step 502: Calculate the signal quality index of the candidate cell based on the sampling information.

[0071] In some embodiments, signal quality metrics include sampling percentage. The average sampled data (NcRSRPAvg) is calculated. If the number of Ncreport110Num statistics is less than 20, it is determined that there are too few sampling points and the statistics are distorted. The data of this neighboring area will not be included in the index calculation. If Ncreport110Num ≥ 20, RationA and the average sampled data will be calculated normally.

[0072] Step 503: Based on the signal quality index, determine the target cell from the candidate cells corresponding to the target site.

[0073] In some embodiments, the signal quality indicators must meet the following conditions: the sampling ratio RationA ranks within a preset ranking (e.g., TOP3) among all effective neighboring cells in the controlled frequency band; RationA is greater than a preset ratio threshold (e.g., 90%); and the average sampling data (NcRSRPAvg) is greater than a preset intensity threshold (e.g., 42).

[0074] It is necessary to ensure that the target cell in each controlled frequency band is unique. If multiple cells in the same frequency band meet the conditions, the site sector correspondence data is considered inaccurate, and the shared antenna correspondence for that frequency band is cancelled. For example, if two candidate cells in the 900MHz band simultaneously meet the above conditions, the target cell for that frequency band is not confirmed; if only one candidate cell meets the conditions, it is identified as the target cell. It should be noted that the above examples are for illustrative purposes only and do not limit the specific content.

[0075] Figure 7 This is a flowchart illustrating an antenna matching method provided in an embodiment of the present disclosure. The method involves obtaining site-level information of controlled cells in each frequency band, determining the cell identifier information of the master control cell, and filtering the center frequency information corresponding to the controlled frequency band; extracting reference signal received power sampling information of neighboring cells and calculating signal quality indicators; determining the co-coverage relationship based on the signal quality indicators; and determining the target cell that shares an antenna with the target site from the candidate cells.

[0076] To further explain step 503, the signal quality indicators include: total sampled data of the reference signal received power of the neighboring cells, first sampled data of the reference signal received power greater than a first preset threshold, average sampled data of the reference signal received power, and the sampling ratio of the first sampled data to the total sampled data; determining the target cell from the candidate cells corresponding to the target site based on the signal quality indicators includes: If the sampling percentage is within a preset ranking range, the sampling percentage is greater than a preset ratio threshold, and the average sampling data is greater than a preset intensity threshold, the candidate cell is determined as the target cell.

[0077] In some embodiments, taking the 1800MHz controlled frequency band as an example, signal quality data is first extracted from the candidate cells corresponding to the target site: the total sampling data (NcReportNum) of the candidate cell is 100, the first sampling data (Ncreport110Num, i.e., sampling points where RSRP > -100) is 92, and the average sampling data (NcRSRPAvg) is 45. First, the number of first sampling data is verified, 92 ≥ 20, which meets the statistical validity requirement; the sampling ratio RationA is calculated as 92 / 100 = 92%; then, the sampling ratio is sorted among all effective neighboring cells in the 1800MHz frequency band, and this candidate cell ranks second (within the preset TOP3 ranking), and 92% > the preset ratio threshold of 90%, 45 > the preset strength threshold of 42. At the same time, no other candidate cell in this frequency band meets all the conditions, so this candidate cell is determined as the target cell of the 1800MHz frequency band. If two candidate cells in the same controlled frequency band meet the index conditions, the sector correspondence data of the site is determined to be inaccurate, and the common antenna correspondence of this frequency band is canceled. It should be noted that the above examples are merely illustrative and do not limit the specific content.

[0078] Using the above method, based on quantified signal quality indicators and combined with sampling validity verification and frequency band uniqueness verification, the target cell that shares coverage with the main control cell and has multiple frequency electrically adjustable antennas can be accurately identified. This avoids the limitations of single-condition judgment and ensures the accuracy and reliability of the multi-frequency shared antenna topology relationship.

[0079] Figure 8 This is a flowchart of an antenna matching method provided in an embodiment of the present disclosure. Figure 8 This may include the following steps: Step 601: Obtain the configuration information of the wireless station, and obtain the master control device number information corresponding to the wireless station from the configuration information.

[0080] In some embodiments, based on the configuration information of the wireless base station reported by the network management system, the remote radio unit (RRU) number information associated with the multi-frequency electrically tunable antenna is obtained, and this number information is the main control device number information.

[0081] Step 602: Determine the main control cell based on the main control device number information and the mapping relationship between the main control device and the cell.

[0082] In some embodiments, the master control station and RRU of the multi-frequency electrically adjustable antenna are identified by associating the site name with the master control RRU number; then, by combining the radio parameter mapping relationship between the RRU and the cell (the topological relationship between the RRU and the cell), the master control cell name, cell CGI (cell global identifier), master control RRU number, etc. are obtained by analyzing the radio base station parameters and configuration information reported by the network management system, thereby determining the master control cell.

[0083] Step 603: Based on the configuration data of the master control cell, determine the connection relationship between the master control cell and the controlled cell.

[0084] In some embodiments, the multi-frequency electrically adjustable antenna is connected to the master control RRU via a cable (such as AISG). The adjustment of the downtilt angle of other controlled RRUs is all done through the master control RRU by issuing adjustment commands. The connection relationship between the master control cell and the controlled cells is determined based on the logic in the configuration data of the master control cell.

[0085] Step 604: Based on the connection relationship, identify at least one controlled cell that is connected to the master cell via the antenna.

[0086] In some embodiments, a multi-frequency electrically adjustable antenna connects to RRU devices in multiple frequency bands. Except for the master RRU, the cells associated with the other RRUs are the controlled cells connected to the master cell via antennas. For example, if the master RRU connected to the multi-frequency electrically adjustable antenna is in the FDD1800 band, the cells associated with the RRUs in other frequency bands (700MHz, FDD900, FA) are the controlled cells. It should be noted that the above examples are merely illustrative and do not limit the specific content.

[0087] Step 605: Determine the at least one controlled frequency band corresponding to the controlled cell based on the configuration parameters of the controlled cell.

[0088] In some embodiments, the configuration parameters of the controlled cell include frequency band information (such as 700M, 900M, 1800M, F band, etc.), and at least one controlled frequency band corresponding to the controlled cell is directly determined based on these configuration parameters.

[0089] The above method enables accurate identification of the main control cell, controlled cell, and controlled frequency band from wireless site configuration information, and clarifies the relationship between cells in each frequency band in a multi-frequency shared antenna scenario.

[0090] In some embodiments, Figure 9This is a connection diagram of an antenna matching method provided in an embodiment of the present disclosure. Based on the configuration information of the base station network management system, the master control RRU number information associated with the multi-frequency electrically adjustable antenna is obtained through the base band unit (BBU). The master control RRU is connected to the electrically adjustable antenna through the remote control unit (RCU). The electrically adjustable downtilt angle adjustment command of the controlled RRU is issued by the master control RRU through the RCU, thereby determining the connection relationship between the master control cell and the controlled cell, and identifying at least one controlled cell and its corresponding controlled frequency band that is connected to the master control cell through the antenna.

[0091] In some embodiments, Figure 10 This is a connection diagram of an antenna matching method provided in an embodiment of this disclosure. The master control cell is connected to an electrically adjustable antenna via an AISG cable. Electrical adjustment commands for other controlled frequency bands (controlled frequency band 1, controlled frequency band 2, and controlled frequency band 3) are issued by the master control cell via the AISG cable. Based on the configuration data of the master control cell, the connection relationship between the master control cell and the controlled cells is determined, and at least one controlled cell connected to the master control cell via an antenna is identified. According to the configuration parameters of the controlled cell, at least one controlled frequency band corresponding to the controlled cell is determined.

[0092] In some embodiments, Figure 11 This is a flowchart illustrating an antenna matching method provided in an embodiment of the present disclosure. The method involves: filtering cells associated with the tracking antenna based on device type and including them in a tracking antenna cell set; customizing a timing strategy for acquiring tracking antenna operating parameter data based on wireless network management configuration information, and periodically and automatically acquiring the operating parameter information of associated cells reported by the tracking antenna; formulating instructions based on the cell information involved in the operating parameters, and periodically acquiring the topology mapping relationship between the multi-frequency cells and antennas of the new tracking antenna; summarizing and adjusting the topology mapping relationship with reference to the common antenna data format, and generating a common antenna information table containing frequency band, cell, and antenna port-level information.

[0093] In some embodiments, the following beneficial effects also exist: 1. It enables the automatic establishment of cell and antenna array topologies across all standards and frequency bands without the need to add antenna facilities or replace existing antennas, effectively reducing network deployment and maintenance costs and improving resource utilization.

[0094] 2. By integrating and analyzing multi-source data such as engineering parameter data and MRO data, intelligent identification of the logical relationship between the master control cell and the controlled cell is achieved, avoiding the high cost and low efficiency problems caused by traditional reliance on manual configuration or radio frequency coupling technology.

[0095] 3. Supports effective identification of main control frequency band cells and controlled frequency band cells for multi-band electrically adjustable antennas and new tracking focus antennas, and is compatible with the topology identification of various types of multi-band antennas.

[0096] 4. It has anomaly detection capabilities, which can identify and mark situations such as missing data, large errors, or inaccurate operating parameters, thereby improving system robustness and data reliability.

[0097] 5. Construct a mapping table of frequency bands and ports for multi-frequency antenna cells to significantly improve network configuration efficiency and accuracy, and provide reliable data support for network optimization, fault location, and resource scheduling.

[0098] Corresponding to the antenna matching method described above, this invention also proposes an antenna matching device. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments described above, and will not be repeated here.

[0099] Figure 12 This is a schematic diagram of the structure of an antenna matching device provided in an embodiment of this disclosure, as shown below. Figure 12 As shown, it includes: a first determining unit 51, a first filtering unit 52, a second determining unit 53, and a third determining unit 54.

[0100] The first determining unit 51 is used to acquire the configuration data of the main control cell and determine at least one controlled frequency band based on the configuration data; The first screening unit 52 is used to screen candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band, with the main control cell as the center. The second determining unit 53 is used to divide the candidate cells according to the site to obtain the site division result, and to determine the site closest to the main control cell in the site division result as the target site; The third determining unit 54 is used to determine, based on the signal quality data of neighboring cells, the target cell that shares an antenna with the target site from the candidate cells; wherein, the neighboring cells are all cells within the second preset location range of the main control cell.

[0101] In summary, this disclosure provides an antenna matching device, comprising: acquiring configuration data of a master control cell, determining at least one controlled frequency band based on the configuration data; selecting candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band, with the master control cell as the center; dividing the candidate cells according to sites to obtain site division results, and determining the site closest to the master control cell in the site division results as the target site; and determining the target cell sharing an antenna with the target site from the candidate cells based on the signal quality data of neighboring cells; wherein, the neighboring cells are all cells within a second preset location range of the master control cell; achieving accurate matching between the master control cell and the target controlled cell in a multi-frequency antenna scenario, without the need to add or replace antennas, reducing the hardware investment cost in the matching process, and ensuring the effectiveness of the matching through step-by-step screening and signal quality verification.

[0102] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 13 As shown, the first filtering unit 52 includes: The acquisition module 521 is used to acquire the first coordinate information of the main control cell and the second coordinate information of at least one controlled cell corresponding to the at least one controlled frequency band from a preset working parameter table; The first calculation module 522 is used to calculate the positional distance between the main control cell and the at least one controlled cell based on the first coordinate information and the second coordinate information; The first determining module 523 is used to determine the controlled cell whose location distance is less than or equal to the first preset location range as the candidate cell.

[0103] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 13 As shown, the second determining unit 53 includes: The first extraction module 531 is used to extract the name field of the candidate cell; The partitioning module 532 is used to partition candidate cells with the same name field to the same site, and partition candidate cells with different name fields to their respective corresponding sites, forming a site partitioning result; wherein, a site includes at least one candidate cell; The second calculation module 533 is used to calculate the location distance between each site and the main control cell; The second determining module 534 is used to determine the station with the closest location as the target station when it is determined that there are multiple stations in a controlled frequency band.

[0104] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 13 As shown, the device further includes: The fourth determining unit 55 is used to determine the cell identification information of the main control cell based on the main control cell identification information and the site identification information before the third determining unit 54 determines the target cell that shares an antenna with the target site from the candidate cells based on the signal quality data of the neighboring cells. Extraction unit 56 is used to extract neighbor cell information corresponding to the main control cell based on the cell identification information; The second filtering unit 57 is used to filter the center frequency information corresponding to the at least one controlled frequency band from the neighbor cell information; The fifth determining unit 58 is used to determine the signal quality data of the neighboring cell based on the center frequency information.

[0105] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 13 As shown, the third determining unit 54 includes: The second extraction module 541 is used to extract the sampling information of the reference signal received power from the signal quality data of the neighboring cell; The third calculation module 542 is used to calculate the signal quality index of the candidate cell based on the sampling information; The third determining module 543 is used to determine the target cell from the candidate cells corresponding to the target site based on the signal quality index.

[0106] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 13 As shown, the signal quality indicators include: total sampled data of the reference signal received power in the neighboring cell, first sampled data of the reference signal received power greater than a first preset threshold, average sampled data of the reference signal received power, and the sampling ratio of the first sampled data to the total sampled data; The third determining module 543 is further configured to: If the sampling percentage is within a preset ranking range, the sampling percentage is greater than a preset ratio threshold, and the average sampling data is greater than a preset intensity threshold, the candidate cell is determined as the target cell.

[0107] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 13 As shown, the device further includes: The acquisition unit 59 is used to acquire configuration information of a radio station before the first determining unit 51 acquires configuration data of the main control cell and determines at least one controlled frequency band based on the configuration data, and to acquire the main control device number information corresponding to the radio station from the configuration information. The sixth determining unit 510 is used to determine the main control cell based on the main control device number information and the mapping relationship between the main control device and the cell; The first determining unit 51 includes: The fourth determining module 511 is used to determine the connection relationship between the master controlling cell and the controlled cell based on the configuration data of the master controlling cell; The identification module 512 is used to identify at least one controlled cell that is connected to the main control cell via the antenna according to the connection relationship; The fifth determining module 513 is used to determine the at least one controlled frequency band corresponding to the controlled cell based on the configuration parameters of the controlled cell.

[0108] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0109] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0110] Figure 14 A schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0111] like Figure 14 As shown, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 602 or loaded from storage unit 608 into RAM (Random Access Memory) 603. The RAM 603 may also store various programs and data required for the operation of the electronic device 600. The computing unit 601, ROM 602, and RAM 603 are interconnected via a bus 604. An I / O (Input / Output) interface 605 is also connected to the bus 604.

[0112] Multiple components in electronic device 600 are connected to I / O interface 605, including: input unit 606, such as keyboard, mouse, etc.; output unit 607, such as various types of displays, speakers, etc.; storage unit 608, such as disk, optical disk, etc.; and communication unit 609, such as network card, modem, wireless transceiver, etc. Communication unit 609 allows electronic device 600 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0113] The computing unit 601 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as the antenna matching method. For example, in some embodiments, the antenna matching method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 600 via ROM 602 and / or communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the aforementioned antenna matching method by any other suitable means (e.g., by means of firmware).

[0114] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0115] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0116] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0117] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0118] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0119] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0120] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0121] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0122] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. An antenna matching method, characterized in that, The method does not require adding or replacing the antenna, and includes: Obtain the configuration data of the master cell, and determine at least one controlled frequency band based on the configuration data; Centered on the main control cell, candidate cells within a first preset location range are selected from the controlled cells corresponding to the at least one controlled frequency band; The candidate cells are divided according to the site to obtain the site division result, and the site that is closest to the main control cell in the site division result is determined as the target site; Based on the signal quality data of neighboring cells, a target cell that shares an antenna with the target site is determined from the candidate cells; wherein, the neighboring cells are all cells within the second preset location range of the master control cell.

2. The method according to claim 1, characterized in that, The step of selecting candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band, centered on the main control cell, includes: Obtain the first coordinate information of the main control cell and the second coordinate information of at least one controlled cell corresponding to the at least one controlled frequency band from the preset operating parameter table; Based on the first coordinate information and the second coordinate information, calculate the location distance between the controlling cell and the at least one controlled cell; The controlled cells whose location distance is less than or equal to the first preset location range are determined as the candidate cells.

3. The method according to claim 1, characterized in that, The step of dividing the candidate cells according to their sites to obtain site division results, and determining the site closest to the controlling cell in the site division results as the target site, includes: Extract the name field of the candidate cells; Candidate cells with the same name field are assigned to the same site, and candidate cells with different name fields are assigned to their respective corresponding sites, forming a site assignment result; wherein, a site includes at least one candidate cell; Calculate the location distance between each site and the main control cell; If it is determined that there are multiple stations in a controlled frequency band, the station with the closest distance to the location is determined as the target station.

4. The method according to claim 1, characterized in that, Before determining the target cell sharing an antenna with the target site from the candidate cells based on the signal quality data of neighboring cells, the method further includes: Based on the main control cell identification information and site identification information, the cell identification information of the main control cell is determined; Based on the cell identification information, extract the neighbor cell information corresponding to the master cell; Filter the center frequency information corresponding to the at least one controlled frequency band from the neighbor cell information; The signal quality data of the neighboring cell is determined based on the center frequency information.

5. The method according to claim 1 or 4, characterized in that, The method of determining the target cell that shares an antenna with the target site from the candidate cells based on the signal quality data of neighboring cells includes: Extract the sampling information of the reference signal received power from the signal quality data of the neighboring cells; Based on the sampling information, the signal quality index of the candidate cell is calculated; Based on the signal quality indicators, the target cell is determined from the candidate cells corresponding to the target site.

6. The method according to claim 5, characterized in that, The signal quality indicators include: total sampled data of the reference signal received power in the neighboring cell, first sampled data of the reference signal received power greater than a first preset threshold, average sampled data of the reference signal received power, and the sampling ratio of the first sampled data to the total sampled data; The step of determining the target cell from the candidate cells corresponding to the target site based on the signal quality index includes: If the sampling percentage is within a preset ranking range, the sampling percentage is greater than a preset ratio threshold, and the average sampling data is greater than a preset intensity threshold, the candidate cell is determined as the target cell.

7. The method according to claim 1, characterized in that, Before acquiring the configuration data of the master control cell and determining at least one controlled frequency band based on the configuration data, the method further includes: Obtain the configuration information of the wireless station, and obtain the master control device number information corresponding to the wireless station from the configuration information; The main control cell is determined based on the main control device number information and the mapping relationship between the main control device and the cell; The step of obtaining the configuration data of the master control cell and determining at least one controlled frequency band based on the configuration data includes: Based on the configuration data of the master control cell, the connection relationship between the master control cell and the controlled cell is determined; Based on the connection relationship, identify at least one controlled cell that is connected to the master cell via the antenna; Based on the configuration parameters of the controlled cell, the at least one controlled frequency band corresponding to the controlled cell is determined.

8. An antenna matching device, characterized in that, The device does not require adding or replacing the antenna, including: The first determining unit is used to acquire the configuration data of the master control cell and determine at least one controlled frequency band based on the configuration data; The first screening unit is used to screen candidate cells within a first preset location range from the controlled cells corresponding to the at least one controlled frequency band, with the main control cell as the center. The second determining unit is used to divide the candidate cells according to the site to obtain the site division result, and to determine the site closest to the main control cell in the site division result as the target site; The third determining unit is used to determine, based on the signal quality data of neighboring cells, the target cell that shares an antenna with the target site from the candidate cells; wherein, the neighboring cells are all cells within the second preset location range of the main control cell.

9. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-7.

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