Antenna weight parameter adjustment method, base station, and storage medium

Abstract

The embodiments of the present disclosure relate to the field of communication, and provide an antenna weight parameter adjustment method, a base station, and a storage medium. The method comprises: acquiring at least two pieces of measurement report information and cell work parameter information in a target area, wherein the target area at least comprises an overlapping area between an area to be optimized and a non-optimization area; on the basis of the pieces of measurement report information and the cell work parameter information, determining target measurement report information, wherein the target measurement report information is measurement report information corresponding to a user equipment in the overlapping area; and on the basis of the pieces of measurement report information and the target measurement report information, determining a target antenna weight parameter meeting a preset limiting condition, so as to adjust antenna weights of cells in the area to be optimized. According to the present disclosure, intra-frequency interference between cells in the target area can be alleviated, and the communication quality and the network performance in the target area are greatly improved.

Description

Antenna weight parameter adjustment method, base station and storage medium

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This disclosure is based on Chinese patent application CN202311003011.0, filed on August 8, 2023, entitled “Antenna Weight Parameter Adjustment Method, Base Station and Storage Medium”, and claims the priority of the patent application, and all the contents disclosed therein are incorporated into this disclosure by reference. Technical Field

[0003] The embodiments of the present disclosure relate to the field of communication technologies, and in particular to an antenna weight parameter adjustment method, a base station, and a storage medium. Background Art

[0004] With the rapid development of communication networks, the fifth-generation mobile communication technology (5G) is becoming more mature. Large-scale antennas are used in outdoor macro base stations, and the macro base stations have a high depth coverage capability. There are more and more indoor micro base stations (5G smart homes, smart factories, virtual reality (VR) and augmented reality (AR)), etc.). When macro base stations and micro base stations are networked on the same frequency, macro base stations will cause co-frequency interference to micro base stations.

[0005] For example, in high-speed rail scenarios, when public and private networks share the same frequency or overlap in frequency band, the public network interferes with the private network. Severe interference between the public and private networks can severely impact the performance of both the high-speed rail and public networks. Therefore, adjusting antenna weight parameters to minimize co-channel interference between cells is a pressing issue.

[0006] Summary of the Invention

[0007] The embodiments of the present disclosure provide a method for adjusting antenna weight parameters, a base station, and a storage medium, aiming to optimize co-channel interference between cells to improve communication quality.

[0008] In a first aspect, an embodiment of the present disclosure provides a method for adjusting antenna weight parameters, including:

[0009] Acquire at least two pieces of measurement report information and cell engineering parameter information in a target area, where the target area includes at least an overlapping area between an area to be optimized and a non-optimized area;

[0010] Determining target measurement report information according to each of the measurement report information and the cell working parameter information, where the target measurement report information is measurement report information corresponding to user equipment in the overlapping area;

[0011] A target antenna weight parameter that meets a preset restriction condition is determined according to each of the measurement report information and the target measurement report information, so as to adjust the antenna weights of the cells in the area to be optimized.

[0012] In a second aspect, an embodiment of the present disclosure further provides a base station, comprising a processor, a memory, a computer program stored on the memory and executable by the processor, and a data bus for realizing connection and communication between the processor and the memory, wherein when the computer program is executed by the processor, the steps of any one of the antenna weight parameter adjustment methods provided in the specification of the present disclosure are implemented.

[0013] In a third aspect, an embodiment of the present disclosure further provides a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of any antenna weight parameter adjustment method provided in the specification of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] FIG1 is a schematic diagram of a flow chart of a method for adjusting antenna weight parameters provided by an embodiment of the present disclosure;

[0015] FIG2 is a schematic diagram of a scenario of a method for adjusting antenna weight parameters provided by an embodiment of the present disclosure;

[0016] FIG3 is a schematic diagram of another scenario of the antenna weight parameter adjustment method provided by an embodiment of the present disclosure;

[0017] FIG4 is a schematic flow chart of the sub-steps of the antenna weight parameter adjustment method in FIG1 ;

[0018] FIG5 is a schematic flow chart of another sub-step of the antenna weight parameter adjustment method in FIG1 ;

[0019] FIG6 is a schematic block diagram of the structure of an antenna weight parameter adjustment device provided by an embodiment of the present disclosure;

[0020] FIG7 is a schematic block diagram of the structure of the submodules of the antenna weight parameter adjustment device in FIG6 ;

[0021] FIG8 is a schematic block diagram of the structure of a base station provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present disclosure without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0023] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may vary depending on the actual situation.

[0024] It should be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. As used in this disclosure, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0025] The embodiments of the present disclosure provide a method for adjusting base station antenna weight parameters, a base station, and a storage medium. The method for adjusting antenna weight parameters can be applied to a base station, which can be a macro base station, a micro base station, a pico base station, a femto base station, or other types of base stations. For example, when the base station is a macro base station, the macro base station obtains at least two measurement report information and cell working parameter information in a target area, where the target area includes at least an overlapping area between an area to be optimized and a non-optimized area; based on each measurement report information and the cell working parameter information, target measurement report information is determined, where the target measurement report information is measurement report information corresponding to a user device in the overlapping area; based on each measurement report information and the target measurement report information, a target antenna weight parameter that meets preset constraints is determined, so that the antenna weight of the cell in the area to be optimized is adjusted.

[0026] The following describes some embodiments of the present disclosure in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features therein may be combined with each other.

[0027] Please refer to FIG. 1 , which is a flow chart of a method for adjusting antenna weight parameters provided by an embodiment of the present disclosure.

[0028] As shown in FIG1 , the antenna weight parameter adjustment method includes steps S101 to S103 .

[0029] Step S101: Acquire at least two pieces of measurement report information and cell operation parameter information in a target area, where the target area at least includes an overlapping area between an area to be optimized and a non-optimized area.

[0030] The area to be optimized is the area within the target area where antenna weight parameter adjustment is required, and the non-optimized area is the area within the target area where antenna weight parameter adjustment is not required. In one embodiment, in the scenario of indoor and outdoor co-frequency networking, the area to be optimized may be an area covered by an outdoor macro base station, and the non-optimized area may be an area covered by an indoor micro base station; in the scenario of high-speed rail public network and private network coverage, the area to be optimized may be an area covered by the public network, and the non-optimized area may be an area covered by the private network.

[0031] For example, as shown in Figure 2, the target area includes an area to be optimized 10 and a non-optimized area 20, wherein an overlapping area 30 exists between the area to be optimized 10 and the non-optimized area 20. When a terminal device is in the overlapping area 30 and accesses the cell of the base station to which the non-optimized area 20 belongs, the communication signal broadcast by the cell to which the area to be optimized 10 belongs will affect the communication service of the terminal device.

[0032] It should be noted that the measurement report (MR) information includes information such as the serving cell identity document (ID), neighboring cell ID, reference signal receiving power (RSRP), direction of arrival (DOA), uplink path loss, time advance (TA), and signal to interference plus noise ratio (SINR). The cell engineering parameter information includes information such as the cell ID, active antenna unit (AAU) attributes, longitude and latitude information, and center frequency.

[0033] In one embodiment, measurement report information reported by each user device within a target area is obtained to obtain multiple measurement report information within the target area. The user device can be configured based on actual circumstances and is not specifically limited in this embodiment of the present disclosure. For example, the user device can be a mobile phone, tablet computer, desktop computer, router, or other device. By obtaining measurement report information reported by each user device within the target area, the efficiency and accuracy of antenna weight parameter adjustment can be improved.

[0034] In one embodiment, the operation parameter information of each cell in the target area is obtained to obtain the cell operation parameter information in the target area. By obtaining the cell operation parameter information in the target area, the efficiency and accuracy of antenna weight parameter adjustment can be improved.

[0035] Step S102: Determine target measurement report information according to each measurement report information and the cell working parameter information, where the target measurement report information is measurement report information corresponding to user equipment in the overlapping area.

[0036] In the case where the user equipment reporting the measurement report information is in the overlapping area, the measurement report information is determined as the target measurement report information. As shown in Figure 3, the target area includes measurement report information A, measurement report information B, measurement report information C, measurement report information D, measurement report information E, measurement report information F, measurement report information G, and measurement report information H. The user equipment corresponding to measurement report information A, measurement report information B, measurement report information C, measurement report information D, measurement report information E, and measurement report information F is in a non-overlapping area, and the user equipment corresponding to measurement report information G and measurement report information H is in an overlapping area 30. Then, measurement report information G and measurement report information H are determined as target measurement report information.

[0037] In one embodiment, as shown in FIG4 , step S102 includes sub-steps S1021 and S1022 .

[0038] Sub-step S1021: Determine the area to which the user equipment corresponding to each measurement report information belongs according to each measurement report information and the cell working parameter information.

[0039] The area to which the user equipment belongs includes an area to be optimized and a non-optimized area.

[0040] In one embodiment, the target area to which each cell belongs is determined based on at least one of the cell identification number (ID), active antenna unit attributes, longitude and latitude, and center frequency in the cell operation parameter information. Based on the serving cell ID and the target area to which each cell belongs in each measurement report, the target area to which each user equipment belongs is determined as the area to which the user equipment belongs. Based on the cell operation parameter information and measurement report information, the area to which the user equipment corresponding to each measurement report belongs can be accurately determined, greatly improving the efficiency and accuracy of antenna weight parameter adjustment.

[0041] In one embodiment, the target area to which each cell belongs can be determined based on the cell identification number (ID) in the cell engineering parameter information by obtaining a preset mapping table between cell IDs and location areas, querying the location area corresponding to each cell ID from the mapping table, and obtaining the target area to which each cell belongs. The mapping table is pre-established based on the cell ID and location area. The mapping table can be established based on actual conditions and is not specifically limited in this embodiment of the present disclosure. The target area to which each cell belongs can be accurately queried using the mapping table and the cell ID.

[0042] In one embodiment, the method for determining the target area to which each cell belongs based on at least one of the active antenna unit attributes, longitude and latitude, and center frequency in the cell engineering parameter information can be: querying the geographical area where each cell is located based on at least one of the active antenna unit attributes, longitude and latitude, and center frequency to obtain the target area to which each cell belongs.

[0043] In one embodiment, based on the service cell ID in each measurement report information and the target area to which each cell belongs, the method for determining the target area of ​​the service cell where each user equipment is located as the area to which the user equipment belongs can be: querying the area corresponding to the service cell ID in each measurement report information from the target area to which each cell belongs, obtaining the target area to which the service cell where each user equipment is located belongs, and using the target area as the area to which the user equipment belongs.

[0044] In one embodiment, user equipment whose measurement report information includes valid direction of arrival information, sounding reference signal transmit power, and sounding reference signal receive power is determined as a user equipment in a to-be-optimized area; and user equipment corresponding to the measurement report information in which at least one of the direction of arrival information, sounding reference signal transmit power, and sounding reference signal receive power is abnormal is determined as a user equipment in a non-to-be-optimized area. By determining whether the measurement report information contains valid direction of arrival information, sounding reference signal transmit power, and sounding reference signal receive power, the area to which the user equipment corresponding to each measurement report information belongs can be accurately determined, greatly improving the efficiency and accuracy of antenna weight parameter adjustment.

[0045] Exemplarily, the measurement report information includes measurement report information 1, measurement report information 2, measurement report information 3, measurement report information 4 and measurement report information 5, wherein measurement report information 1, measurement report information 2 and measurement report information 5 include valid wave direction information, detection reference signal transmission power and detection reference signal reception power, and the area to which the user equipment corresponding to measurement report information 1, measurement report information 2 and measurement report information 5 belongs is the area to be optimized; measurement report information 3 and measurement report information 4 include invalid wave direction information, detection reference signal transmission power and detection reference signal reception power, and the area to which the user equipment corresponding to measurement report information 3 and measurement report information 4 belongs is the non-optimized area.

[0046] Sub-step S1022: Determine target measurement report information from each measurement report information according to the area to which each user equipment belongs.

[0047] The measurement report information includes a reference signal received power (RSRP), which includes a first RSRP and a second RSRP. It should be noted that the first RSRP is the RSRP of the area to be optimized in the measurement report information, and the second RSRP is the RSRP of the non-optimized area in the measurement report information.

[0048] In one embodiment, it is determined whether there is a user device whose first RSRP belonging to the area to be optimized is greater than a preset first threshold, whose second RSRP belonging to the non-optimized area is greater than a preset second threshold, and whose difference between the second RSRP and the first RSRP is less than a preset third threshold; in the case where there is a user device whose first RSRP belonging to the area to be optimized is greater than the preset first threshold, whose second RSRP belonging to the non-optimized area is greater than the preset second threshold, and whose difference between the second RSRP and the first RSRP is less than the preset third threshold, it is determined to be a user device in the overlapping area; the corresponding measurement report information of the user device in the overlapping area is determined as the target measurement report information. Among them, the preset first threshold, the preset second threshold and the preset third threshold can be set according to actual conditions, and the embodiment of the present disclosure does not make specific restrictions on this. According to the RSRP in the measurement report information, it is possible to accurately determine whether each measurement report information is the target measurement report information in the overlapping area.

[0049] Step S103: Determine target antenna weight parameters that meet preset restriction conditions based on each measurement report information and the target measurement report information, so as to adjust the antenna weights of the cells in the area to be optimized.

[0050] The preset restriction condition is that the measurement report information in the overlapping area accounts for a small proportion and the coverage quality index is high.

[0051] In one embodiment, as shown in FIG5 , step S103 includes sub-steps S1031 and S1032 .

[0052] Sub-step S1031: Determine the ratio of the number of target measurement report information reports to the number of measurement report information reports to obtain a ratio of target measurement report information in the overlapping area.

[0053] Count the number of target measurement report information to obtain the target measurement report information report number; count the number of each measurement report information to obtain the measurement report information report number; and divide the target measurement report information report number by the measurement report information report number to obtain the target measurement report information ratio in the overlapping area. Calculating the target measurement report information ratio in the overlapping area can improve the accuracy of antenna weight adjustment.

[0054] For example, the number of target measurement report information reports is 50, and the number of measurement report information reports is 2000, then the proportion of target measurement report information in the overlapping area is 0.025.

[0055] Sub-step S1032: Determine target antenna weight parameters that meet preset restriction conditions based on the target measurement report information ratio and each measurement report information.

[0056] In one embodiment, based on each measurement report information, a coverage quality index of a user equipment in a non-overlapping area is determined, and the coverage quality index is used to characterize the communication quality index of the user equipment in the non-overlapping area; the antenna weight parameters of the cell corresponding to the area to be optimized are adjusted multiple times to obtain multiple candidate antenna weight parameters, and based on each candidate antenna weight parameter and each measurement report information, multiple candidate RSRPs and candidate signal-to-interference-plus-noise ratios (SINRs) are determined; and based on a target measurement report information ratio, a coverage quality index, each candidate RSRP, and each candidate SINR, a target antenna weight parameter that meets preset constraints is determined. By determining the target measurement report information ratio, the coverage quality index, each candidate RSRP, and each candidate SINR, and based on the target measurement report information ratio, the coverage quality index, each candidate RSRP, and each candidate SINR, the target antenna weight parameter that meets the preset constraints can be accurately determined.

[0057] It should be noted that the coverage quality indicator includes at least one of the average RSRP in the non-overlapping area, the average SINR in the non-overlapping area, the excellent ratio of the channel quality indicator (CQI), the split ratio of 5G traffic to 4G traffic, and the number of wireless resource control connected users. The antenna weight parameters include azimuth, downtilt angle, horizontal beamwidth, vertical beamwidth, and power factor. Adjusting the antenna weight parameters can adjust at least one of the azimuth, downtilt angle, horizontal beamwidth, vertical beamwidth, and power factor. For example, adjusting the antenna weight parameters is to adjust the downtilt angle and horizontal beamwidth.

[0058] In one embodiment, the coverage quality indicator of the user equipment in the non-overlapping area may be determined based on each measurement report information. When the coverage quality indicator only includes the average RSRP of the non-overlapping area, the sum of the RSRPs in each measurement report information within the area to be optimized and not within the overlapping area is divided by the number of measurement report information within the area to be optimized and not within the overlapping area to obtain the average RSRP of the non-overlapping area. By calculating the average RSRP of the non-overlapping area, the coverage quality indicator can be accurately obtained.

[0059] In one embodiment, the method for determining the coverage quality index of the user equipment in the non-overlapping area based on each measurement report information can be: when the coverage quality index only includes the average SINR of the non-overlapping area, the sum of the SINRs in each measurement report information within the area to be optimized and not within the overlapping area is divided by the number of reports of the measurement report information within the area to be optimized and not within the overlapping area, to obtain the average SINR of the non-overlapping area. By calculating the average SINR of the non-overlapping area, the coverage quality index can be accurately obtained.

[0060] In one embodiment, based on each measurement report information, a method for determining a coverage quality indicator of a user equipment in a non-overlapping area may be: when the coverage quality indicator includes an average RSRP of the non-overlapping area and an average SINR of the non-overlapping area, obtaining a first weight parameter corresponding to the average RSRP of the non-overlapping area and a second weight parameter corresponding to the average SINR of the non-overlapping area, and generating a coverage quality indicator based on the first weight parameter, the second weight parameter, the average RSRP of the non-overlapping area, and the average SINR of the non-overlapping area. By weighting the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area to generate the coverage quality indicator, the accuracy of the coverage quality indicator can be improved.

[0061] In one embodiment, the method for obtaining the first weight parameter corresponding to the average RSRP of the non-overlapping area and the second weight parameter corresponding to the average SINR of the non-overlapping area can be: the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area are processed based on a preset algorithm to obtain the first weight parameter and the second weight parameter. Among them, the preset algorithm can be selected according to actual conditions, and the embodiment of the present disclosure does not make specific restrictions on this. By processing the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area through the preset algorithm, the first weight parameter and the second weight parameter can be accurately obtained, which greatly improves the efficiency and accuracy of the antenna weight parameter adjustment.

[0062] Exemplarily, the preset algorithm may be a weighted sum algorithm, which is subject to x∈Ω, where λ i is the weight parameter, f i (x) is the average RSRP of the non-overlapping area or the average SINR of the non-overlapping area. The average RSRP of the non-overlapping area and the average SINR of the non-overlapping area are processed based on the weighted summation algorithm, and the weight parameters corresponding to the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area at Pareto optimality are determined to obtain the first weight parameter and the second weight parameter.

[0063] It should be noted that the first weight parameter and the second weight parameter can also be set according to actual conditions, and the specific setting rules can be determined according to actual conditions. The embodiment of the present disclosure does not make specific limitations on this. By setting the first weight parameter and the second weight parameter by yourself, the efficiency of adjusting the antenna weight parameters can be improved.

[0064] In one embodiment, multiple RSRP candidates and multiple SINR candidates may be determined based on each candidate antenna weight parameter and each measurement report information by calculating each candidate antenna weight parameter and the RSRP in the measurement report information based on a preset RSRP formula to obtain each candidate RSRP; and calculating each candidate RSRP and a preset white noise power based on a preset SINR formula to obtain each candidate SINR. By calculating each candidate antenna weight parameter and each measurement report information, multiple RSRP candidates and multiple SINR candidates can be accurately obtained.

[0065] In one embodiment, each candidate antenna weight parameter and the RSRP in the measurement report information are calculated based on a preset RSRP formula, and a method for obtaining each candidate RSRP may be: the preset RSRP formula is RSRPi,j=RSRPi,k+AntGainTbl[j][h][v]-AntGainTbl[k][h][v], wherein RSRPi,j is the RSRP when the antenna weight parameter is j, RSRPi,k is the RSRP when the antenna weight parameter is k, AntGainTbl[j] is the antenna gain value when the antenna weight parameter is j, [h][v] is the DOA angle of the user equipment, and AntGainTbl[k] is the antenna gain value when the antenna weight parameter is k. Based on the preset RSRP formula, each candidate antenna weight parameter and the RSRP in the measurement report information are calculated to obtain each candidate RSRP.

[0066] It should be noted that AntGainTbl is queried from a preset antenna gain table, and the preset antenna gain table can be set according to actual conditions, and the embodiment of the present disclosure does not specifically limit this.

[0067] In one embodiment, each candidate RSRP and a preset white noise power are calculated based on a preset SINR formula to obtain each candidate SINR: the preset SINR formula is: in, is the candidate RSRP of the user equipment, RSRP is the RSRP of the cell served by the user equipment, and the M RSRP is the sum of the RSRPs of the neighboring cells, and N is the white noise power; based on the preset SINR formula, the sum of the RSRPs of the RSRP neighboring cells of the served cell and the white noise power are calculated to obtain a candidate SINR.

[0068] It should be noted that converting the candidate RSRP to a linear value before performing candidate SINR analysis can improve the accuracy of the candidate SINR. The white noise power can be set according to actual conditions, and the present disclosure embodiment does not specifically limit this. For example, the white noise power can be set to -125dBm. The candidate SINR sets a maximum threshold and a minimum threshold. The maximum threshold and the minimum threshold can be set according to actual conditions, and the present disclosure embodiment does not specifically limit this. For example, the maximum threshold can be 40dB, and the minimum threshold can be -20dB. By setting the maximum threshold and the minimum threshold, candidate SINRs with large errors can be removed to improve the accuracy of antenna weight parameter adjustment.

[0069] In one embodiment, a method for determining a target antenna weight parameter that meets preset constraints based on a target measurement report information ratio, a coverage quality indicator, each candidate RSRP, and each candidate SINR may include: determining a report ratio of overlapping area measurement report information corresponding to each candidate antenna weight parameter based on each candidate RSRP, thereby obtaining a target measurement report information ratio for multiple overlapping areas; determining a coverage quality indicator for user equipment in a non-overlapping area based on each candidate RSRP and each candidate SINR, thereby obtaining multiple coverage quality indicators; and selecting a target antenna weight parameter from the candidate antenna weight parameters based on the multiple target measurement report information ratios and the multiple coverage quality indicators. Using the multiple target measurement report information ratios and the multiple coverage quality indicators, the target antenna weight parameter can be accurately selected from the multiple candidate antenna weight parameters.

[0070] In one embodiment, the reporting ratio of the overlapping area measurement report information corresponding to each candidate antenna weight parameter is determined according to each candidate RSRP, and the method for obtaining the target measurement report information ratio of multiple overlapping areas can be: determining that, under the condition of each candidate antenna weight parameter, in the case of a user device whose first candidate RSRP belonging to the area to be optimized is greater than a preset first threshold, whose second candidate RSRP belonging to the non-optimized area is greater than a preset second threshold, and whose difference between the first candidate RSRP and the second candidate RSRP is less than a preset third threshold, the user device is determined to be in the overlapping area; summarizing the measurement report information corresponding to the user devices in the overlapping area to obtain at least one target measurement report information; and placing the report number of the target measurement report information in the report number of the measurement report information to obtain the target measurement report information ratio of the overlapping area.

[0071] In one embodiment, the coverage quality index of the user equipment in the non-overlapping area is determined based on each candidate RSRP and each candidate SINR, and a method for obtaining multiple coverage quality indicators can be: when the coverage quality index only includes the average RSRP of the non-overlapping area, the sum of the candidate RSRPs in each measurement report information that is in the area to be optimized and not in the overlapping area is divided by the number of reports of the measurement report information that is in the area to be optimized and not in the overlapping area, to obtain the average RSRP of the non-overlapping area; when the coverage quality index only includes the average SINR of the non-overlapping area, the sum of the candidate SINRs in each measurement report information that is in the area to be optimized and not in the overlapping area is divided by the number of reports of the measurement report information that is in the area to be optimized and not in the overlapping area, to obtain the average SINR of the non-overlapping area; when the coverage quality indicator includes the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area, a first weight parameter corresponding to the average RSRP of the non-overlapping area and a second weight parameter corresponding to the average SINR of the non-overlapping area are obtained, and the coverage quality index is generated according to the first weight parameter, the second weight parameter, the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area.

[0072] In one embodiment, a target antenna weight parameter may be selected from candidate antenna weight parameters based on multiple target measurement report information ratios and multiple coverage quality indicators. A preset number of target measurement report information ratios may be selected in ascending order to obtain multiple candidate target measurement report information ratios. The candidate antenna weight parameter having the highest coverage quality indicator and a target measurement report information ratio within the candidate target measurement report information ratios is determined as the target antenna weight parameter. By selecting the optimal target antenna weight parameter from the multiple candidate antenna weight parameters, communication quality of user devices in the overlapping area is improved.

[0073] In one embodiment, once the target antenna weight parameters are obtained, the antennas corresponding to the cells in the area to be optimized are adjusted based on the target antenna weight parameters to adjust the antenna weights for the cells in the area to be optimized. Adjusting the antenna weights for the cells in the area to be optimized based on the target antenna weight parameters significantly improves communication quality for user equipment in the overlapping area.

[0074] The base station antenna weight parameter adjustment method in the above-described embodiment obtains at least two measurement report information and cell operating parameter information in a target area, where the target area includes at least the overlapping area between the area to be optimized and the non-optimized area. Target measurement report information is then determined based on each measurement report information and the cell operating parameter information. The target measurement report information is the measurement report information corresponding to the user equipment in the overlapping area. Based on each measurement report information and the target measurement report information, target antenna weight parameters that meet preset constraints can be accurately determined to adjust the antenna weights of the cells in the area to be optimized. This solution can accurately determine the target antenna weight parameters of the cells in the area to be optimized, and adjust the antenna weights of the cells in the area to be optimized based on the target antenna weight parameters. This solution can optimize co-channel interference between cells in the target area, significantly improving communication quality and network performance within the target area.

[0075] Please refer to FIG. 6 , which is a schematic block diagram of the structure of an antenna weight parameter adjustment device provided in an embodiment of the present disclosure.

[0076] As shown in FIG6 , the antenna weight parameter adjustment device 200 includes an acquisition module 210 and a determination module 220 , wherein:

[0077] The acquisition module 210 is configured to acquire at least two pieces of measurement report information and cell operation parameter information in a target area, where the target area at least includes an overlapping area between an area to be optimized and a non-optimized area;

[0078] The determining module 220 is configured to determine target measurement report information according to each of the measurement report information and the cell working parameter information, where the target measurement report information is measurement report information corresponding to the user equipment in the overlapping area;

[0079] The determination module 220 is further configured to determine target antenna weight parameters that meet preset constraints based on each measurement report information and the target measurement report information, so as to adjust the antenna weights of the cells in the area to be optimized.

[0080] In one embodiment, as shown in FIG7 , the determining module 220 includes a first determining submodule 221 and a second determining submodule 222 , wherein:

[0081] The first determining submodule 221 is configured to determine the area to which the user equipment corresponding to each measurement report information belongs according to each measurement report information and the cell working parameter information;

[0082] The second determining submodule 222 is configured to determine target measurement report information from each measurement report information according to the area to which each user equipment belongs.

[0083] In one embodiment, the first determining submodule 221 is further configured to:

[0084] Determine the target area to which each cell belongs based on at least one of the cell identification number ID, active antenna unit attributes, latitude and longitude, and center frequency in the cell engineering parameter information;

[0085] According to the serving cell ID in each measurement report information and the target area to which each cell belongs, the target area to which the serving cell where each user equipment is located belongs is determined as the area to which the user equipment belongs.

[0086] In one embodiment, the first determining submodule 221 is further configured to:

[0087] Determine the user equipment whose measurement report information includes valid direction of arrival information, sounding reference signal transmit power, and sounding reference signal receive power as the user equipment in the area to be optimized;

[0088] The user equipment corresponding to the measurement report information in which at least one of the direction of arrival information, the sounding reference signal transmit power, and the sounding reference signal receive power is abnormal is determined as a user equipment in a non-optimization area.

[0089] In one embodiment, the second determining submodule 222 is further configured to:

[0090] In the case where a user equipment belonging to the area to be optimized has a first RSRP greater than a preset first threshold, a user equipment belonging to the non-optimized area has a second RSRP greater than a preset second threshold, and a difference between the second RSRP and the first RSRP is less than a preset third threshold, determining the user equipment as being in the overlapping area;

[0091] The measurement report information corresponding to the user equipment in the overlapping area is determined as the target measurement report information.

[0092] In one embodiment, the determining module 220 is further configured to:

[0093] Determine a ratio of the number of reports of the target measurement report information to the number of reports of the measurement report information to obtain a ratio of the target measurement report information in the overlapping area;

[0094] According to the target measurement report information ratio and each of the measurement report information, a target antenna weight parameter that meets the preset restriction condition is determined.

[0095] In one embodiment, the determining module 220 is further configured to:

[0096] Determining, based on each measurement report information, a coverage quality indicator of a user equipment in a non-overlapping area, where the coverage quality indicator is used to characterize a communication quality indicator of the user equipment in the non-overlapping area;

[0097] Adjusting antenna weight parameters of cells corresponding to the area to be optimized multiple times to obtain multiple candidate antenna weight parameters, and determining multiple candidate RSRPs and candidate signal to interference plus noise ratios (SINRs) based on each of the candidate antenna weight parameters and each of the measurement report information;

[0098] Determine a target antenna weight parameter that meets preset restrictions based on the target measurement report information ratio, the coverage quality indicator, each candidate RSRP, and each candidate SINR.

[0099] In one embodiment, the determining module 220 is further configured to:

[0100] In a case where the coverage quality indicator includes only the average RSRP of the non-overlapping area, dividing the sum of the RSRPs in each of the measurement report information within the area to be optimized and not within the overlapping area by the number of reports of the measurement report information within the area to be optimized and not within the overlapping area, to obtain the average RSRP of the non-overlapping area;

[0101] In the case where the coverage quality indicator includes only the average SINR of the non-overlapping area, the sum of the SINRs in each of the measurement report information within the area to be optimized and not within the overlapping area is divided by the number of reports of the measurement report information within the area to be optimized and not within the overlapping area to obtain the average SINR of the non-overlapping area;

[0102] When the coverage quality indicator includes the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area, a first weight parameter corresponding to the average RSRP of the non-overlapping area and a second weight parameter corresponding to the average SINR of the non-overlapping area are obtained, and a coverage quality indicator is generated based on the first weight parameter, the second weight parameter, the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area.

[0103] In one embodiment, the determining module 220 is further configured to:

[0104] The non-overlapping area average RSRP and the non-overlapping area average SINR are processed based on a preset algorithm to obtain a first weight parameter and a second weight parameter.

[0105] In one embodiment, the determining module 220 is further configured to:

[0106] Calculating each candidate antenna weight parameter and the RSRP in the measurement report information based on a preset RSRP formula to obtain each candidate RSRP;

[0107] Each candidate RSRP and a preset white noise power are calculated based on a preset SINR formula to obtain each candidate SINR.

[0108] In one embodiment, the determining module 220 is further configured to:

[0109] Determine, based on each candidate RSRP, a report ratio of overlapping area measurement report information corresponding to each candidate antenna weight parameter, and obtain a target measurement report information ratio of multiple overlapping areas;

[0110] Determine a coverage quality indicator of a user equipment in a non-overlapping area according to each of the candidate RSRPs and each of the candidate SINRs, to obtain a plurality of coverage quality indicators;

[0111] A target antenna weight parameter is selected from candidate antenna weight parameters according to the multiple target measurement report information proportions and the multiple coverage quality indicators.

[0112] In one embodiment, the determining module 220 is further configured to:

[0113] Selecting a preset number of target measurement report information ratios in descending order to obtain a plurality of candidate target measurement report information ratios;

[0114] The candidate antenna weight parameter having the largest coverage quality index and a target measurement report information ratio within the candidate target measurement report information ratio is determined as the target antenna weight parameter.

[0115] Please refer to FIG8 , which is a schematic block diagram of the structure of a base station provided in an embodiment of the present disclosure.

[0116] As shown in FIG8 , a base station 300 includes a processor 301 and a memory 302 . The processor 301 and the memory 302 are connected via a bus 303 , such as an I 2 C (Inter-Integrated Circuit) bus.

[0117] Specifically, processor 301 is used to provide computing and control capabilities to support the operation of the entire base station. Processor 301 can be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0118] Specifically, the memory 302 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0119] Those skilled in the art will understand that the structure shown in Figure 8 is merely a block diagram of a partial structure related to the scheme of the present disclosure, and does not constitute a limitation on the base station to which the scheme of the present disclosure is applied. The specific base station may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0120] The processor is configured to run a computer program stored in a memory, and implement any one of the antenna weight parameter adjustment methods provided in the embodiments of the present disclosure when executing the computer program.

[0121] In one embodiment, the processor 301 is configured to run a computer program stored in a memory, and implement the following steps when executing the computer program:

[0122] Acquire at least two pieces of measurement report information and cell engineering parameter information in a target area, where the target area includes at least an overlapping area between an area to be optimized and a non-optimized area;

[0123] Determining target measurement report information according to each of the measurement report information and the cell working parameter information, where the target measurement report information is measurement report information corresponding to user equipment in the overlapping area;

[0124] A target antenna weight parameter that meets a preset restriction condition is determined according to each of the measurement report information and the target measurement report information, so as to adjust the antenna weights of the cells in the area to be optimized.

[0125] In one embodiment, when determining the target measurement report information according to each measurement report information and the cell working parameter information, the processor 301 is configured to implement:

[0126] Determining, according to each measurement report information and the cell working parameter information, an area to which the user equipment corresponding to each measurement report information belongs;

[0127] Target measurement report information is determined from each measurement report information according to the area to which each user equipment belongs.

[0128] In one embodiment, when the processor 301 implements determining, according to each measurement report information and the cell working parameter information, the area to which the user equipment corresponding to each measurement report information belongs, it is configured to implement:

[0129] Determine the target area to which each cell belongs based on at least one of the cell identification number ID, active antenna unit attributes, latitude and longitude, and center frequency in the cell engineering parameter information;

[0130] According to the serving cell ID in each measurement report information and the target area to which each cell belongs, the target area to which the serving cell where each user equipment is located belongs is determined as the area to which the user equipment belongs.

[0131] In one embodiment, the processor 301 implements the measurement report information including direction of arrival information, sounding reference signal transmit power, and sounding reference signal receive power, and determines, according to each measurement report information and the cell working parameter information, the area to which the user equipment corresponding to each measurement report information belongs, to implement:

[0132] Determine the user equipment whose measurement report information includes valid direction of arrival information, sounding reference signal transmit power, and sounding reference signal receive power as the user equipment in the area to be optimized;

[0133] The user equipment corresponding to the measurement report information in which at least one of the direction of arrival information, the sounding reference signal transmit power, and the sounding reference signal receive power is abnormal is determined as a user equipment in a non-optimization area.

[0134] In one embodiment, the processor 301 implements that the measurement report information includes a reference signal received power RSRP, and the reference signal received power includes a first RSRP and a second RSRP; and determines the target measurement report information from each measurement report information according to the area to which each user equipment belongs, and is configured to implement:

[0135] In the case where a user equipment belonging to the area to be optimized has a first RSRP greater than a preset first threshold, a user equipment belonging to the non-optimized area has a second RSRP greater than a preset second threshold, and a difference between the second RSRP and the first RSRP is less than a preset third threshold, determining the user equipment as being in the overlapping area;

[0136] The measurement report information corresponding to the user equipment in the overlapping area is determined as the target measurement report information.

[0137] In one embodiment, the processor 301, when determining the target antenna weight parameter that meets the preset restriction condition according to each of the measurement report information and the target measurement report information, is configured to implement:

[0138] Determine a ratio of the number of reports of the target measurement report information to the number of reports of the measurement report information to obtain a ratio of the target measurement report information in the overlapping area;

[0139] According to the target measurement report information ratio and each of the measurement report information, a target antenna weight parameter that meets the preset restriction condition is determined.

[0140] In one embodiment, when determining the target antenna weight parameter that meets the preset restriction condition based on the target measurement report information ratio and each measurement report information, the processor 301 is configured to implement:

[0141] Determining, based on each measurement report information, a coverage quality indicator of a user equipment in a non-overlapping area, where the coverage quality indicator is used to characterize a communication quality indicator of the user equipment in the non-overlapping area;

[0142] Adjusting antenna weight parameters of cells corresponding to the area to be optimized multiple times to obtain multiple candidate antenna weight parameters, and determining multiple candidate RSRPs and candidate signal to interference plus noise ratios (SINRs) based on each of the candidate antenna weight parameters and each of the measurement report information;

[0143] Determine a target antenna weight parameter that meets preset restrictions based on the target measurement report information ratio, the coverage quality indicator, each candidate RSRP, and each candidate SINR.

[0144] In one embodiment, the processor 301 implements the coverage quality indicator including at least the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area; when determining the coverage quality indicator of the user equipment in the non-overlapping area according to each of the measurement report information, it is configured to implement:

[0145] In a case where the coverage quality indicator includes only the average RSRP of the non-overlapping area, dividing the sum of the RSRPs in each of the measurement report information within the area to be optimized and not within the overlapping area by the number of reports of the measurement report information within the area to be optimized and not within the overlapping area, to obtain the average RSRP of the non-overlapping area;

[0146] In the case where the coverage quality indicator includes only the average SINR of the non-overlapping area, the sum of the SINRs in each of the measurement report information within the area to be optimized and not within the overlapping area is divided by the number of reports of the measurement report information within the area to be optimized and not within the overlapping area to obtain the average SINR of the non-overlapping area;

[0147] When the coverage quality indicator includes the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area, a first weight parameter corresponding to the average RSRP of the non-overlapping area and a second weight parameter corresponding to the average SINR of the non-overlapping area are obtained, and a coverage quality indicator is generated based on the first weight parameter, the second weight parameter, the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area.

[0148] In one embodiment, when implementing the obtaining of the first weight parameter corresponding to the average RSRP of the non-overlapping area and the second weight parameter corresponding to the average SINR of the non-overlapping area, the processor 301 is configured to implement:

[0149] The non-overlapping area average RSRP and the non-overlapping area average SINR are processed based on a preset algorithm to obtain a first weight parameter and a second weight parameter.

[0150] In one embodiment, when the processor 301 determines the multiple candidate RSRPs and the multiple candidate SINRs according to the candidate antenna weight parameters and the measurement report information, it is configured to implement:

[0151] Calculating each candidate antenna weight parameter and RSRP in the measurement report information based on a preset RSRP formula to obtain each candidate RSRP;

[0152] Each candidate RSRP and a preset white noise power are calculated based on a preset SINR formula to obtain each candidate SINR.

[0153] In one embodiment, when the processor 301 determines the target antenna weight parameter that meets the preset restriction condition according to the target measurement report information ratio, the coverage quality indicator, each candidate RSRP, and each candidate SINR, it is configured to implement:

[0154] Determine, based on each candidate RSRP, a report ratio of overlapping area measurement report information corresponding to each candidate antenna weight parameter, and obtain a target measurement report information ratio of multiple overlapping areas;

[0155] Determine a coverage quality indicator of a user equipment in a non-overlapping area according to each of the candidate RSRPs and each of the candidate SINRs, to obtain a plurality of coverage quality indicators;

[0156] A target antenna weight parameter is selected from candidate antenna weight parameters according to the multiple target measurement report information proportions and the multiple coverage quality indicators.

[0157] In one embodiment, when implementing the selecting of the target antenna weight parameter from the candidate antenna weight parameters based on the multiple target measurement report information proportions and the multiple coverage quality indicators, the processor 301 is configured to implement:

[0158] Selecting a preset number of target measurement report information ratios in descending order to obtain a plurality of candidate target measurement report information ratios;

[0159] The candidate antenna weight parameter having the largest coverage quality index and a target measurement report information ratio within the candidate target measurement report information ratio is determined as the target antenna weight parameter.

[0160] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the base station described above can refer to the corresponding process in the aforementioned antenna weight parameter adjustment method embodiment, and will not be repeated here.

[0161] An embodiment of the present disclosure also provides a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of any antenna weight parameter adjustment method provided in the specification of the present disclosure.

[0162] The storage medium may be the internal storage unit of the base station described in the preceding embodiments, such as a hard disk or memory of the base station. The storage medium may also be an external storage device of the base station, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, or a flash memory card equipped on the base station.

[0163] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As is well known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable, and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those skilled in the art that communication media generally embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0164] It should be understood that the term "and / or" used in this disclosure refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations. It should be noted that, in this article, the terms "include", "comprise" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system that includes a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements that are inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the statement "including a..." does not exclude the presence of other identical elements in the process, method, article or system that includes the element.

[0165] The serial numbers of the embodiments of the present disclosure are for descriptive purposes only and do not represent the merits of the embodiments. The above description is only a specific embodiment of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the scope of protection of the present disclosure.

Claims

1. A method for adjusting antenna weight parameters, comprising: Acquire at least two pieces of measurement report information and cell engineering parameter information in a target area, where the target area at least includes an overlapping area between an area to be optimized and a non-optimized area; Determine target measurement report information according to each of the measurement report information and the cell engineering parameter information, where the target measurement report information is measurement report information corresponding to a user equipment in an overlapping area; According to each of the measurement report information and the target measurement report information, a target antenna weight parameter that meets a preset restriction condition is determined, so that the antenna weight of the cell in the area to be optimized is adjusted.

2. The antenna weight parameter adjustment method according to claim 1, wherein: The determining target measurement report information according to each of the measurement report information and the cell working parameter information includes: Determine, according to each of the measurement report information and the cell engineering parameter information, an area to which the user equipment corresponding to each of the measurement report information belongs; Target measurement report information is determined from each measurement report information according to the area to which each user equipment belongs.

3. The antenna weight parameter adjustment method according to claim 2, wherein: The determining, according to each of the measurement report information and the cell working parameter information, an area to which the user equipment corresponding to each of the measurement report information belongs includes: Determine the target area to which each cell belongs according to at least one of the cell identification number ID, active antenna unit attribute, longitude and latitude, and center frequency in the cell engineering parameter information; According to the serving cell ID in each measurement report information and the target area to which each cell belongs, the target area to which the serving cell where each user equipment is located belongs is determined as the area to which the user equipment belongs.

4. The antenna weight parameter adjustment method according to claim 2, wherein: The measurement report information includes direction of arrival information, sounding reference signal transmit power, and sounding reference signal receive power; The determining, according to each of the measurement report information and the cell working parameter information, an area to which the user equipment corresponding to each of the measurement report information belongs includes: Determine the user equipment whose measurement report information includes valid direction of arrival information, sounding reference signal transmission power, and sounding reference signal reception power as the user equipment in the area to be optimized; The user equipment corresponding to the measurement report information in which at least one of the direction of arrival information, the sounding reference signal transmission power, and the sounding reference signal reception power is abnormal is determined as a user equipment in a non-optimization area.

5. The antenna weight parameter adjustment method according to claim 2, wherein: The measurement report information includes a reference signal received power RSRP, and the reference signal received power includes a first RSRP and a second RSRP; The determining target measurement report information from each measurement report information according to the area to which each user equipment belongs includes: In the case of a user equipment whose first RSRP belonging to the area to be optimized is greater than a preset first threshold, whose second RSRP belonging to the non-optimized area is greater than a preset second threshold, and whose difference between the second RSRP and the first RSRP is less than a preset third threshold, determining the user equipment as being in the overlapping area; The measurement report information corresponding to the user equipment in the overlapping area is determined as the target measurement report information.

6. The antenna weight parameter adjustment method according to claim 1, wherein: The determining, according to each of the measurement report information and the target measurement report information, a target antenna weight parameter that meets a preset restriction condition includes: Determine a ratio of the number of reports of the target measurement report information to the number of reports of the measurement report information to obtain a ratio of the target measurement report information in the overlapping area; Determine the target that meets the preset restriction conditions according to the target measurement report information ratio and each measurement report information Antenna weight parameters.

7. The antenna weight parameter adjustment method according to claim 6, wherein: The determining, according to the target measurement report information ratio and each of the measurement report information, a target antenna weight parameter that meets a preset restriction condition includes: Determine, according to each of the measurement report information, a coverage quality indicator of a user equipment in a non-overlapping area, wherein the coverage quality indicator is used to characterize a communication quality indicator of the user equipment in the non-overlapping area; Adjusting the antenna weight parameters of the cell corresponding to the area to be optimized multiple times to obtain multiple candidate antenna weight parameters, and determining multiple candidate RSRPs and candidate signal to interference plus noise ratios SINRs according to each of the candidate antenna weight parameters and each of the measurement report information; According to the target measurement report information ratio, the coverage quality indicator, each candidate RSRP and each candidate SINR, a target antenna weight parameter that meets the preset restriction condition is determined.

8. The antenna weight parameter adjustment method according to claim 7, wherein: The coverage quality indicator includes at least an average RSRP in a non-overlapping area and an average SINR in a non-overlapping area; and determining the coverage quality indicator of a user equipment in a non-overlapping area according to each of the measurement report information includes: In the case where the coverage quality indicator only includes the average RSRP of the non-overlapping area, the sum of the RSRPs in the measurement report information in the area to be optimized and not in the overlapping area is divided by the number of reports of the measurement report information in the area to be optimized and not in the overlapping area to obtain the average RSRP of the non-overlapping area; In the case where the coverage quality indicator only includes the average SINR of the non-overlapping area, the sum of the SINRs in the measurement report information in the area to be optimized and not in the overlapping area is divided by the number of reports of the measurement report information in the area to be optimized and not in the overlapping area to obtain the average SINR of the non-overlapping area; In the case where the coverage quality indicator includes the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area, a first weight parameter corresponding to the average RSRP of the non-overlapping area and a second weight parameter corresponding to the average SINR of the non-overlapping area are obtained, and the coverage quality indicator is generated according to the first weight parameter, the second weight parameter, the average RSRP of the non-overlapping area and the average SINR of the non-overlapping area.

9. The antenna weight parameter adjustment method according to claim 8, wherein: The obtaining of the first weight parameter corresponding to the average RSRP of the non-overlapping area and the second weight parameter corresponding to the average SINR of the non-overlapping area includes: The non-overlapping area average RSRP and the non-overlapping area average SINR are processed based on a preset algorithm to obtain a first weight parameter and a second weight parameter.

10. The antenna weight parameter adjustment method according to claim 7, wherein: The determining, according to each of the candidate antenna weight parameters and each of the measurement report information, a plurality of candidate RSRPs and a plurality of candidate SINRs comprises: Calculate each of the candidate antenna weight parameters and the RSRP in the measurement report information based on a preset RSRP formula to obtain each of the candidate RSRPs; Each candidate RSRP and a preset white noise power are calculated based on a preset SINR formula to obtain each candidate SINR.

11. The antenna weight parameter adjustment method according to claim 7, wherein: The determining, according to the target measurement report information proportion, the coverage quality indicator, each candidate RSRP and each candidate SINR, a target antenna weight parameter that meets a preset restriction condition includes: Determine the report ratio of the overlapping area measurement report information corresponding to each candidate antenna weight parameter according to each candidate RSRP, and obtain the target measurement report information ratio of multiple overlapping areas; Determine the coverage quality of the user equipment in the non-overlapping area according to each of the candidate RSRPs and each of the candidate SINRs Indicators, get multiple coverage quality indicators; A target antenna weight parameter is selected from candidate antenna weight parameters according to the multiple target measurement report information proportions and the multiple coverage quality indicators.

12. The antenna weight parameter adjustment method according to claim 11, wherein: The selecting a target antenna weight parameter from candidate antenna weight parameters according to the plurality of target measurement report information proportions and the plurality of coverage quality indicators comprises: Selecting a preset number of target measurement report information ratios in order from small to large, to obtain a plurality of candidate target measurement report information ratios; The candidate antenna weight parameter having the largest coverage quality index and a target measurement report information ratio that is within the candidate target measurement report information ratio is determined as the target antenna weight parameter.

13. A base station, comprising a processor, a memory, a computer program stored in the memory and executable by the processor, and a data bus for realizing connection and communication between the processor and the memory, wherein when the computer program is executed by the processor, the steps of the antenna weight parameter adjustment method as described in any one of claims 1 to 12 are realized.

14. A storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the antenna weight parameter adjustment method according to any one of claims 1 to 12.

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