Interference source positioning method and system for wireless communication

Abstract

The invention discloses a wireless communication interference source positioning method and system, and the method comprises the steps: obtaining an SSB number where a maximum PRB interference value is located, and taking a beam azimuth angle corresponding to the SSB number as an interference initial azimuth angle; performing azimuth angle dynamic adjustment based on the interference initial azimuth to obtain an interference accurate azimuth angle, and determining a plurality of interference terminals according to the terminal occupation condition; obtaining the distance from the interference terminal to the base station, and clustering the interference terminal according to the distance to obtain a plurality of interference terminal clusters; each interference terminal cluster corresponds to one virtual cell, and the position of the virtual cell with the maximum PRB interference value serves as the distance position of an interference source; and fusing the interference precise azimuth angle and the interference source distance position to locate the interference source position. According to the invention, through fusion use of the SSB beam interference intensity and the virtual cell, the positioning of the interference source position is no longer limited to the environment limitation caused by a complex wireless environment, and the interference source positioning problem in the complex wireless environment can be better solved.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communications, and in particular to a method and system for locating interference sources in wireless communications. Background Art

[0002] With the development of mobile communication technology, numerous terminals have enabled the interconnection of everything, posing new challenges to network development and stability. External interference sources significantly impact network performance and stability, and the timing and location of interference sources are often uncertain. With the advancement of technology, methods for identifying uplink interference sources are constantly evolving and becoming increasingly sophisticated. Existing techniques involve scanning in different directions using a fixed-beam antenna, observing the in-band signal strength received by the tester. If the signal strength in a particular direction is higher, it is assumed that there is an uplink interference source in that direction. The tester then repeats the same test at a different location, and the location of the uplink interference source is estimated using the directions measured at different locations. However, this method requires on-site maintenance personnel to perform the operation, and because the antenna beam is fixed, the directional angle cannot be adjusted remotely. The entire process must be performed with the assistance of maintenance personnel, which is labor-intensive, time-consuming, and inefficient. It also requires high technical skills, and different personnel have varying levels of skill, resulting in widely varying judgments.

[0003] The "Method and System for Locating Radio Interference Sources in Power Communication," published in Chinese patent literature with publication number CN115835272A and publication date March 21, 2023, includes determining an area to be analyzed; determining a first measurement point and obtaining corresponding latitude, longitude, and azimuth information; measuring the spectrum intensity of the interference source at the first measurement point; determining whether there is an interference source around the first measurement point; measuring the interference source angle corresponding to the maximum spectrum intensity of the interference source at the first measurement point several times; measuring the maximum intensity of the interference source at the interference source angle again and calculating the distance between the first measurement point and the interference source; and locating the radio interference source in power communication based on the obtained data. While this technology overcomes the high investment required for on-site personnel to operate and the impact of differences in personnel's technical level on detection results, it is only applicable to situations with good wireless environments, such as power transmission and communication. In complex wireless environments, such as mobile communications, it is easy for the location with the maximum interference value to be different from the location closest to the interference source due to problems such as wireless obstruction, resulting in interference source positioning distortion. Summary of the Invention

[0004] The present invention aims to overcome the time-consuming, labor-intensive and inefficient problem of requiring maintenance personnel to go on-site to locate the interference source in the prior art. The remote interference source positioning method is only applicable to scenarios with good wireless environments. In complex wireless environments, large interference source positioning deviations are likely to occur. A method and system for locating interference sources in wireless communications are provided.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A method for locating interference sources in wireless communication, comprising: Obtain the SSB number where the maximum PRB interference value is located, and use the beam azimuth corresponding to the SSB number as the initial interference azimuth; Based on the initial interference azimuth, the azimuth is dynamically adjusted to obtain the precise interference azimuth, and several interfering terminals are determined based on the terminal occupancy status; The distance between the interfering terminal and the base station is obtained, and the interfering terminals are clustered according to the distance to obtain several interfering terminal clusters; each interfering terminal cluster corresponds to a virtual cell, and the virtual cell position with the largest PRB interference value is used as the distance position of the interference source; the interference source position is located by fusing the precise interference azimuth and the interference source distance position.

[0006] The present invention uses the SSB beam number occupied by the strongest PRB interference value to complete the initial azimuth of the interference source location, and confirms the precise azimuth of the strongest interference position by dynamically adjusting the azimuth of the SSB beam. At the same time, the base station obtains the SSB beam number occupied by the terminal through the MR measurement data reported by the terminal, and uses the telepathy technology to confirm the distance between the terminal occupied by the strongest dynamic interference direction and the base station. Clustering is performed based on the distance, and a virtual cell with the interference terminal cluster as a unit is established. The interference index of the virtual cell is presented in the virtual cell module, and the position with the maximum value is the location of the interference source. Through the integrated use of SSB beam interference intensity and virtual cells, the interference data is presented in a smaller granularity, so that the positioning of the interference source position is no longer limited to the environmental limitations brought by the complex wireless environment, and can better cope with the interference source positioning problem in a complex wireless environment.

[0007] Preferably, dynamically adjusting the azimuth angle based on the initial interference azimuth angle to obtain the precise interference azimuth angle includes: Within the dynamic adjustment range of the azimuth angle, the initial azimuth angle of interference is adjusted according to a preset angle interval to determine the dynamic azimuth angle and the corresponding PRB interference value; The dynamic azimuth with the largest PRB interference value is selected as the precise interference azimuth.

[0008] Preferably, the preset angular interval is negatively correlated with the distance between base stations in the area; The azimuth angle dynamic adjustment interval is determined by the beam azimuth angles corresponding to two adjacent SSB numbers that interfere with the initial azimuth angle.

[0009] Preferably, determining a number of interfering terminals according to terminal occupancy conditions includes: According to the terminal reporting data obtained by the base station, the terminals occupied in the initial interference azimuth and the terminals occupied in the precise interference azimuth are determined; the terminals appearing in the two azimuths are intersected to obtain a number of interfering terminals.

[0010] Preferably, clustering the interfering terminals according to the distance to obtain several interfering terminal clusters includes: based on a preset clustering interval, rounding up the ratio of the distance from the interfering terminal to the base station to the clustering interval to obtain a corresponding cluster number, and taking the terminals with the same cluster number as the same interfering terminal cluster to complete the clustering of the interfering terminals.

[0011] Preferably, if after clustering is completed, the number of interfering terminals in any interfering terminal cluster is less than the number threshold, the clustering interval is adjusted and the interfering terminal clustering is performed again until the number of interfering terminals in all interfering terminal clusters is greater than or equal to the number threshold.

[0012] Preferably, obtaining the distance from the interfering terminal to the base station includes: By utilizing the sensing function of telepathy technology, the base station transmits electromagnetic waves and receives echoes through sensing time slots to obtain the distance between each interfering terminal and the base station.

[0013] Preferably, taking the virtual cell position with the largest PRB interference value as the interference source distance position includes: The PRB interference data of each interfering terminal in the interfering terminal cluster corresponding to the virtual cell is obtained, and based on a preset intra-cluster interference value aggregation method, the PRB interference data of the interfering terminals are aggregated to obtain a PRB interference value of the virtual cell.

[0014] A wireless communication interference source positioning system includes a base station and several terminals; the base station includes: The inter-sensory module can confirm the distance and interference direction of the interference terminal through the perception function; The network management module aggregates data uploaded by terminals across the entire network; The virtual cell module samples the interference data of the interfering terminal from the network management module and presents the interference data of the corresponding interfering terminal cluster in the form of a virtual cell to determine the location of the interference source.

[0015] Preferably, in the telepathy module, the base station transmits electromagnetic waves to the terminal through the sensing time slot and receives the echo from the terminal, and the distance between the base station and the terminal is obtained based on the product of the time difference between the receiving time and the transmitting time and the speed of light divided by two.

[0016] The present invention has the following beneficial effects: by adopting a combination of dynamic adjustment of beam orientation and initial beam orientation to confirm the orientation of the interference source, it is possible to achieve a precise transition from a large orientation to a fine small orientation, analyze the network interference data reported by the terminals in the interference terminal cluster and aggregate them at the clustering interval, and clearly state that the smaller the clustering interval, the more accurate the positioning of the interference source. At the same time, combined with the processing of virtual cell interference data, the precise positioning of the interference source is achieved; through the integrated use of SSB beam interference intensity and virtual cells, the interference data is presented in a smaller granularity, so that the positioning of the interference source is no longer limited to the environmental limitations brought about by the complex wireless environment, and can better cope with the interference source positioning problem in the complex wireless environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of the interference source locating method for wireless communication in the present invention.

[0018] Figure 2 This is a schematic diagram of the perception time slot structure of the synaesthesia function set by the base station in the present invention. DETAILED DESCRIPTION

[0019] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0020] In the prior art, interference source location is primarily achieved through the following methods: The interference source location is determined by determining the intersection of the azimuth extensions of the interference beams of multiple smart antennas. This solution has certain scenario limitations and is only applicable to multiple serving cells experiencing interference simultaneously. If only one cell experiences interference, the extensions do not intersect, making it impossible to locate the interference source. The interference source location is determined by determining the uplink interference signal strength and arrival angle of multiple time-frequency resources of access network devices within a predetermined area. However, if the access network devices are mobile, the time domain distance determination can be subject to numerous uncertainties, leading to errors. A person uses a fixed-beam antenna to scan in different directions and observe the in-band signal strength received by the tester. If the signal strength in a particular direction is higher, it is considered a possible uplink interference source in that direction. The person then changes locations to conduct the same test and judgment. Finally, the uplink interference direction measured at each location is used to estimate the location of the uplink interference source. This method requires a large amount of personnel and is inefficient. It also requires high technical skills, which can lead to widely varying judgments.

[0021] In order to solve the above problems, the present invention provides Figure 1A method for locating interference sources in wireless communications is shown, including: obtaining the SSB number where the maximum PRB interference value is located, and using the beam azimuth of the SSB number as the initial interference azimuth; dynamically adjusting the azimuth based on the initial interference azimuth to obtain a precise interference azimuth, and determining a number of interfering terminals based on terminal occupancy; The distance between the interfering terminal and the base station is obtained, and the interfering terminals are clustered according to the distance to obtain several interfering terminal clusters; each interfering terminal cluster corresponds to a virtual cell, and the virtual cell position with the largest PRB interference value is used as the distance position of the interference source; the interference source position is located by fusing the precise interference azimuth and the interference source distance position.

[0022] It should be noted that the present invention uses the SSB beam number occupied by the strongest PRB interference value to complete the initial azimuth of the interference source location, and confirms the precise azimuth of the strongest interference position by dynamically adjusting the azimuth of the SSB beam. At the same time, the base station obtains the SSB beam number occupied by the terminal through the MR measurement data reported by the terminal, and uses the telepathy technology to confirm the distance between the terminal occupied by the strongest dynamic interference direction and the base station. Clustering is performed based on the distance, and a virtual cell with the interference terminal cluster as a unit is established. The interference index of the virtual cell is presented in the virtual cell module, and the position with the maximum value is the location of the interference source. Through the integrated use of SSB beam interference intensity and virtual cells, the interference data is presented in a smaller granularity, so that the positioning of the interference source position is no longer limited to the environmental limitations brought by the complex wireless environment, and can better cope with the interference source positioning problem in a complex wireless environment.

[0023] Specifically, the base station needs to enable the telepathy function and be designed with modules such as large-scale network management, telepathy and virtual cells; obtain the beam azimuth corresponding to the SSB beam number where the maximum PRB interference value is located, and confirm the initial azimuth of the interference source; dynamically adjust the SSB beam azimuth of the maximum interference, and adjust the SSB beam azimuth at different preset angle intervals to find the precise azimuth of interference where the maximum interference intensity is located.

[0024] Dynamically adjust the azimuth angle based on the initial interference azimuth to obtain the precise interference azimuth angle, including: Within the dynamic azimuth adjustment range, the initial interference azimuth is adjusted according to the preset angle interval to determine the dynamic azimuth and the corresponding PRB interference value. The dynamic azimuth with the maximum PRB interference value is selected as the precise interference azimuth. The preset angle interval is negatively correlated with the distance between base stations in the area. The dynamic azimuth adjustment range is determined by the beam azimuths corresponding to the two adjacent SSB numbers of the initial interference azimuth.

[0025] For the initial SSB beam azimuth of the interfering initial azimuth and the SSB beam azimuth of the dynamically adjusted interfering precise azimuth, the base station parses the SSB beam number occupied by the terminal using the MR measurement data reported by the terminal. The terminals appearing at the intersection of the two corresponding azimuths are considered the interfering terminals. Determining a number of interfering terminals based on terminal occupancy includes: determining the terminals occupied in the initial interfering azimuth and the terminals occupied in the precise interfering azimuth based on the terminal reported data obtained by the base station; and obtaining a number of interfering terminals by taking the intersection of the terminals appearing at the two azimuths.

[0026] The strongest interfering SSB beam direction and its corresponding interfering terminal are detected by the base station through the following methods: Figure 2 The sensing time slot shown transmits electromagnetic waves and receives echoes to obtain the distance to each terminal and the base station.

[0027] Based on the distance between each interfering terminal and the base station, the terminals within the interval are clustered using the clustering interval, resulting in multiple interfering terminal clusters. The interfering terminals are clustered based on the distance, resulting in several interfering terminal clusters including: Based on the preset clustering interval, the ratio of the distance from the interfering terminal to the base station to the clustering interval is rounded up to obtain the corresponding cluster number. Terminals with the same cluster number are grouped into the same interfering terminal cluster, completing the clustering of the interfering terminals. If, after clustering, the number of interfering terminals in any interfering terminal cluster is less than the number threshold, the clustering interval is adjusted and the interfering terminal clustering is repeated until the number of interfering terminals in all interfering terminal clusters is greater than or equal to the number threshold.

[0028] A virtual cell module is set up within the integrated synaesthesia module to facilitate the presentation of interference data. The integrated synaesthesia module and the network management module complete data connection. The virtual cell module in the integrated synaesthesia module obtains network interference data for each terminal in the interfering terminal cluster from the network management module, aggregates the virtual cell interference data, and takes the maximum value of multiple virtual cell interference values ​​as the interference source location, realizing a method for accurately locating the interference source location based on the terminal location.

[0029] The virtual cell position with the largest PRB interference value as the interference source distance position includes: The PRB interference data of each interfering terminal in the interfering terminal cluster corresponding to the virtual cell is obtained, and based on a preset intra-cluster interference value aggregation method, the PRB interference data of the interfering terminals are aggregated to obtain a PRB interference value of the virtual cell.

[0030] The two elements for accurate positioning of interference sources are the SSB beam azimuth corresponding to the precise azimuth of the strongest interference and the distance position of the virtual cell. By integrating these two elements, accurate positioning of the interference source can be achieved.

[0031] It is worth noting that the present invention is mainly used in strong PRB interference scenarios, to find the interference source position, reduce the interference source positioning difficulty, improve the interference source positioning efficiency and accuracy, and improve the interference source positioning type. The present invention mainly relates to base stations, large network and interrogation integrated modules, as well as virtual cell modules and interference terminals. Interference azimuth positioning and interference terminal position positioning are realized using interrogation integrated technology, and terminal clustering is completed according to the distance from the base station in the same direction. The interference data of the terminal cluster is presented in the form of a virtual cell, and the strongest virtual cell (virtual CELL) interference index is selected to achieve accurate positioning of the interference source position.

[0032] Regarding the abbreviations mentioned in the preceding sections, MR stands for Measurement Report: raw network data measured by user terminals, carrying relevant information about the uplink and downlink radio links, including received signal code power, input signal code power, block error rate, and transmit power. Measurement reports are crucial for wireless coverage assessment, handover analysis, and troubleshooting malicious network use in mobile communication networks. PRB stands for Physical Resource Unit: It consists of a set of consecutive subcarriers in the frequency domain and represents a set of consecutive time slots or symbols in the time domain. The allocation of PRBs and support for dynamic resource allocation enable the system to adapt to changing channel conditions and varying data rate requirements, which is crucial for achieving high spectral efficiency and meeting diverse needs. SSB stands for Synchronous Broadcast Block: It is primarily used for cell search, beam measurement, beam selection, and beam recovery. CELL stands for Radio Cell: It handles non-real-time protocols and services, while DU handles real-time protocols and services.

[0033] In addition to a method for locating interference sources for wireless communication, the present invention also provides a system for locating interference sources for wireless communication, including a base station and several terminals; the base station includes: The intersensory module uses the sensing function to confirm the distance and interference direction of the interference terminal, which is the basis for accurately locating the interference source. In the interawareness module, the base station transmits electromagnetic waves to the terminal through the sensing time slot and receives the echo from the terminal. The distance between the base station and the terminal is obtained by multiplying the time difference between the reception time and the transmission time by the speed of light and dividing it by two. The network management module, which is the existing large-scale network OMC, aggregates data uploaded by terminals across the entire network, analyzes and calculates cell statistics, and presents the overall cell PRB interference index; The virtual cell module samples the interference data of the interfering terminal from the network management module and presents the interference data of the corresponding interfering terminal cluster in the form of a virtual cell to determine the location of the interference source.

[0034] It should be noted that one interfering terminal cluster corresponds to one virtual cell. Since the existing network interference index presents network indicators at the cell level, the cluster interference intensity index is also presented in the form of a virtual cell after aggregating the interfering terminals. It is aligned with the real cell, and the virtual cell with the strongest interference value is the location of the interference source.

[0035] The size of a virtual cell is defined and can be large or small, depending on the actual situation. This is equivalent to further dividing a real cell into several virtual cells. Similarly, the number of terminals within the virtual cell will also change depending on the size of the customized virtual cell. In complex wireless environments, some terminals may experience some distortion in their position of interference sources due to the wireless environment. If there are multiple terminals in a virtual cell, the interference reported by the terminals will be corrected to ensure the accuracy of the interference source location. This can reduce positioning distortion errors compared to positioning based on a single terminal.

[0036] It is worth noting that the method and system of the present invention have made improvements in interference source azimuth positioning, interference source distance position positioning, adaptability to the number of interfering cells, terminal clustering method and adaptation to the complexity of the wireless environment, which is a significant improvement compared to the existing interference source positioning method.

[0037] Interference source azimuth positioning accuracy: By combining dynamic beam adjustment with initial beam positioning (interference initial azimuth angle) to determine the interference source azimuth, it is possible to achieve precise transition from broad azimuth to fine-grained positioning. For example, within the horizontal lobe, the SSB beam azimuth angle is dynamically adjusted at different angular intervals based on different coverage scenarios to identify the direction of the strongest interference source, thereby improving the accuracy of interference source azimuth positioning.

[0038] Interference source distance and location accuracy: The interfering terminal cluster is analyzed and aggregated using a virtual network management system with integrated telepathy. The smaller the cluster interval, the more accurate the interference source location (the number of interfering terminals in the cluster must be greater than the threshold). Combined with the processing of virtual cell interference data, accurate interference source location is achieved.

[0039] Adaptability to the number of interfering cells: This method breaks the barrier of a limited number of interfering cells and can locate interference sources in both single-cell and multi-cell environments, even in complex wireless environments. This means that the method works effectively in complex network environments, whether a single interfering cell exists or multiple interfering cells coexist. If the same interference source causes interference in multiple virtual cells, the positioning results for all virtual cells will point to the same location. If multiple independent interference sources exist, positioning is performed cyclically, in descending order of the virtual cell PRB interference value.

[0040] Terminal clustering: Utilizing telepresence technology, the system collects distance data from all terminals in the interference direction to the base station. Interfering terminals are clustered based on their distance. Interfering terminal clusters are presented as virtual cells, with each interfering terminal cluster corresponding to a virtual cell. Using telepresence technology's sensing capabilities to obtain distance information, the system then uses the concept of virtual cells to quantify cluster interference intensity, thereby locating the interference source.

[0041] Adapting to Complex Wireless Environments: By integrating the precise interference azimuth angle of the SSB beam's maximum interference intensity with virtual cells, interference data is presented at a finer granularity, freeing the location of interference sources from the constraints imposed by complex wireless environments. This integrated approach better addresses interference source location in complex wireless environments.

[0042] As a specific embodiment, the initial azimuth of the SSB number occupied by the strongest interference PRB value is confirmed as the initial azimuth of the interference, and the precise azimuth of the interference with the strongest interference value is confirmed by dynamically adjusting the initial azimuth of the interference of the SSB number. At the same time, the base station obtains the SSB number occupied by the terminal through the MR measurement data reported by the terminal, and uses the perception function of the synesthesia to confirm the distance between the terminal and the base station occupied by the strongest dynamic interference direction, and clusters them according to the distance, establishes a virtual cell with the interference terminal cluster as the unit, and completes the output of the virtual cell interference index in the virtual cell module of the synesthesia module. The position of the maximum value is the location of the interference source.

[0043] It should be noted that the specific terms in this embodiment are defined.

[0044] The preset angle interval is the interval in degrees for dynamically adjusting the SSB beam azimuth. Dynamic adjustment of the SSB beam azimuth is configured according to this angle interval. The network management module adjusts the SSB beam azimuth and is customizable. The SSB beam azimuth is the beam range configured for the network cell and is available through the network management module. The beam azimuth selects the center angle of the beam range.

[0045] Initial interference azimuth: Since the SSB beam azimuth has been configured under each cell in the network management module, the SSB number where the maximum PRB interference value is located is obtained, that is, the initial interference azimuth where the interference source is located is obtained. Dynamic azimuth: The sum of the initial interference azimuth and the dynamically adjusted angle interval jointly determines the adjusted SSB beam azimuth. Precise interference azimuth: The SSB beam azimuth where the strongest interference is located is obtained by taking the maximum value of the PRB interference values ​​corresponding to multiple dynamically adjusted SSB beam azimuths as the final precise interference azimuth. Virtual cell: An interfering terminal cluster corresponds to a virtual cell. The existing network interference index presents network indicators at the cell CELL level, so the cluster interference strength index is also presented in the form of a virtual cell. The specific interference source positioning steps in this embodiment are as follows.

[0046] Confirming the initial interference azimuth: The network management module identifies the affected cell and, by mapping the SSB frequency band to the PRB, and by using the interference fluctuation period and SSB transmission period, identifies the SSB number where the interference occurs. The first column is the SSB number, the second column is the SSB beam azimuth, and the third column is the PRB interference value. Because the SSB beam azimuth is configured for each cell in the network management module, the SSB number with the maximum PRB interference value is obtained, and the corresponding SSB beam azimuth is used to determine the initial interference azimuth of the interference source.

[0047] Confirmation of the precise azimuth of interference: Dynamically adjust the initial azimuth of interference to configure the azimuth angle and confirm the location of the interference source. Because each interference cell is located in a different coverage scenario, the spacing between base stations in rural, suburban, and urban areas varies greatly. The spacing between stations in urban areas is small, and the coverage distance is much smaller than the coverage distance with larger spacing between stations in suburban areas. The size of the spacing between stations directly affects the distance between two adjacent SSB numbers. The larger the station spacing, the longer the beam coverage distance of an SSB number, and the smaller the angle spacing. The smaller the station spacing, the larger the angle spacing can be (or a smaller angle spacing can be). Using a dynamic adjustment method based on the angle spacing of the initial interference azimuth to confirm the precise azimuth of interference is suitable for all coverage scenarios.

[0048] Based on existing common sense, within the horizontal lobe, the angle range of the beam of each SSB number is basically the same. The obtained initial azimuth of interference is only the maximum value of the PRB interference in the rough beam angle range, which can be further subdivided to obtain a more accurate azimuth. Therefore, it is necessary to dynamically configure the initial azimuth of interference through a preset angle interval to complete further accurate confirmation of the azimuth of the interference source.

[0049] First, a number of dynamic azimuth angles are obtained based on the initial azimuth angle of the interference and the preset angle interval. For example, the SSB numbered n for the initial azimuth angle of the interference is used for explanation. The dynamic adjustment interval of the azimuth angle of the dynamic azimuth angle is between the azimuth angle of the SSB beam numbered n-1 and the azimuth angle of the SSB beam numbered n+1. The dynamic azimuth angle can be obtained by adding or subtracting the preset angle interval from the initial azimuth angle of the interference according to the direction of the angle adjustment. In scenarios with longer coverage distances, the finer the preset angle interval, the more accurate the azimuth positioning of the interference source. Specifically, the azimuth angle can be adjusted with 1 degree as an angle interval and according to 1 degree, 2 degrees, 3 degrees, etc., or -1 degree, -2 degrees, -3 degrees, etc.

[0050] After obtaining several dynamic azimuth angles, the PRB data occupied by these terminals is processed by parsing the SSB numbers occupied by them from the MR measurement data reported by the terminals to obtain PRB interference data for each dynamic azimuth angle. The dynamic azimuth angle corresponding to the maximum value in the PRB interference data is selected as the precise interference azimuth angle. The method for obtaining PRB interference data for dynamic azimuth angles is the same as the method for obtaining PRB interference data for beam azimuth angles corresponding to different SSB numbers. Both are existing conventional technologies and are not described in detail.

[0051] Confirming the number of interfering terminals: After confirming the initial interference azimuth and the precise interference azimuth, the base station uses the MR measurement data reported by the terminal to parse the SSB numbers occupied by the terminal. The intersecting set of terminals appearing in the two azimuths is used to determine the number of interfering terminals. For example, if the initial interference azimuth includes terminals 1, 2, 3, and n, and the precise interference azimuth includes terminals 1, 3, 4, and n, then the interfering terminals are terminals 1, 3, and n.

[0052] Obtaining the distance from the interfering terminal to the base station: Since the interfering terminals are distributed on the beam of the entire interference precise azimuth angle, the specific location of each terminal is unknown, so the distance from the interfering terminal to the base station must be clustered. The virtual cell module of the telepathy module is used to parse and aggregate the network interference data reported by the terminals in the cluster to find the strongest interference cluster, that is, the location of the interference source. Based on the precise azimuth angle of interference and its corresponding interfering terminal, and using the perception function of telepathy technology, the base station transmits electromagnetic waves to the interfering terminal through the perception time slot and receives the echo, and obtains the distance between each interfering terminal and the base station. The specific calculation method is the product of the time difference between the base station electromagnetic wave reception time and the base station electromagnetic wave transmission time, divided by two.

[0053] Clustering of interfering terminals: The SSB beam coverage extension line is divided into multiple interfering terminal clusters according to a certain clustering interval. Interfering terminals fall into different clusters depending on their distance from the base station. Interfering terminals that fall into the same cluster are clustered.

[0054] Interference terminal clustering is accomplished using the distance interval method. Each terminal's distance from the base station varies. The distance from the terminal to the base station must be within a corresponding interval, defined by the cluster interval. Each interval constitutes a cluster. The smaller the cluster interval, the more accurately the interference source is located. Specific cluster intervals can be set to 20m, 30m, 40m, or 50m. Interference terminal clusters are assigned cluster numbers. The distance between the centers of two adjacent clusters on an extended line is the cluster interval.

[0055] The interfering terminal is clustered. When the distance data from the interfering terminal to the base station is obtained, the ratio of the distance from the interfering terminal to the base station to the cluster interval is rounded up to an integer to obtain the corresponding cluster number. All interfering terminals with the same cluster number are grouped into one interfering terminal cluster, completing the assignment of the interfering terminal to the cluster.

[0056] Regarding the constraints on the number of terminals in a cluster: Due to many factors such as different services initiated by terminals, different network loads, and different wireless environments in which the network is located, the base station allocates different numbers of PRBs to terminals, which leads to different PRB interference positions reported by terminals. Therefore, there must be certain requirements for the number of terminals in a cluster to avoid the following situation under the same interference source: the interference value of terminals closer to the interference source is lower than the value reported by terminals farther away from the interference source due to severe obstruction by the wireless environment. The interference value reported by the farther terminal is stronger mainly because the wireless environment is better than that of the closer terminal. In this case, positioning distortion will occur when locating the interference source with a single terminal. Therefore, in order to avoid positioning distortion, the number of terminals in the virtual cell must be limited. When the number of interfering terminals in the cluster is lower than the number threshold (optionally, the number threshold can be set to 2 in this embodiment), the clustering interval needs to be readjusted and the clustering needs to be re-clustered.

[0057] Virtual cell interference data aggregation: Since the PRB interference value is presented at the cell CELL level, a virtual cell module is set up in the interpersonal communication module to facilitate the presentation of interference data. The interpersonal communication module and the network management module complete data docking. The interpersonal communication module separates and extracts the interfering terminal network interference data within the interfering terminal cluster from the network management module, and uses a preset intra-cluster interference value aggregation method to complete virtual cell interference data aggregation (the preset intra-cluster interference value aggregation method in this embodiment can select an existing conventional cell CELL-level terminal data aggregation method, or can use methods such as averaging the interference data of the interfering terminal for aggregation). One interfering terminal cluster corresponds to one virtual cell, and multiple virtual cells take the virtual cell position with the largest interference value as the interference source distance position.

[0058] Interference source precise positioning: The confirmed interference azimuth is integrated with the virtual cell location to achieve precise interference source location by combining angle and distance. If the same interference source causes interference in multiple cells, the positioning result points to the same interference source location. If there are multiple independent interference sources, the positioning is performed in descending order of the virtual cell's maximum PRB interference value.

[0059] The above embodiments are further elaborations and illustrations of the present invention for ease of understanding, and are not intended to limit the present invention in any way. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for locating interference sources in wireless communication, characterized in that: include: Obtain the SSB number where the maximum PRB interference value is located, and use the beam azimuth corresponding to the SSB number as the initial interference azimuth; Based on the initial interference azimuth, the azimuth is dynamically adjusted to obtain the precise interference azimuth, and several interfering terminals are determined based on the terminal occupancy status; Obtain the distance between the interfering terminal and the base station, and cluster the interfering terminals according to the distance to obtain several interfering terminal clusters; Each interfering terminal cluster corresponds to a virtual cell, and the virtual cell location with the largest PRB interference value is used as the interference source distance location; The interference source is located by fusing the precise azimuth of the interference and the distance to the interference source.

2. The method for locating interference sources in wireless communication according to claim 1, wherein: Dynamically adjust the azimuth angle based on the initial interference azimuth to obtain the precise interference azimuth angle, including: Within the dynamic adjustment range of the azimuth angle, the initial azimuth angle of interference is adjusted according to a preset angle interval to determine the dynamic azimuth angle and the corresponding PRB interference value; The dynamic azimuth with the largest PRB interference value is selected as the precise interference azimuth.

3. The method for locating interference sources in wireless communication according to claim 2, wherein: The preset angular interval is negatively correlated with the distance between base stations in the area; The azimuth angle dynamic adjustment interval is determined by the beam azimuth angles corresponding to two adjacent SSB numbers that interfere with the initial azimuth angle.

4. A method for locating interference sources in wireless communication according to claim 1, 2 or 3, characterized in that: Determining a number of interfering terminals according to the terminal occupancy situation includes: According to the terminal reporting data obtained by the base station, the terminals occupied in the initial interference azimuth and the terminals occupied in the precise interference azimuth are determined; the terminals appearing in the two azimuths are intersected to obtain a number of interfering terminals.

5. A method for locating interference sources in wireless communication according to claim 1, 2 or 3, characterized in that: The interfering terminal clustering is performed according to the distance, and the obtained interfering terminal clusters include: Based on the preset clustering interval, the ratio of the distance from the interfering terminal to the base station to the clustering interval is rounded up to obtain the corresponding cluster number. Terminals with the same cluster number are grouped into the same interfering terminal cluster to complete the clustering of the interfering terminals.

6. The method for locating interference sources in wireless communication according to claim 5, wherein: If the number of interfering terminals in any interfering terminal cluster is less than the number threshold after clustering is completed, the interfering terminal clustering is performed again after adjusting the clustering interval until the number of interfering terminals in all interfering terminal clusters is greater than or equal to the number threshold.

7. The method for locating interference sources in wireless communication according to claim 5, wherein: The obtaining of the distance from the interfering terminal to the base station includes: By utilizing the sensing function of telepathy technology, the base station transmits electromagnetic waves and receives echoes through sensing time slots to obtain the distance between each interfering terminal and the base station.

8. A method for locating interference sources in wireless communication according to claim 1, 2, 3, 6 or 7, characterized in that: The method of taking the virtual cell position with the largest PRB interference value as the interference source distance position includes: The PRB interference data of each interfering terminal in the interfering terminal cluster corresponding to the virtual cell is obtained, and based on a preset intra-cluster interference value aggregation method, the PRB interference data of the interfering terminals are aggregated to obtain a PRB interference value of the virtual cell.

9. A wireless communication interference source positioning system, applicable to the interference source positioning method according to any one of claims 1 to 8, characterized in that: It includes a base station and several terminals; the base station includes: The inter-sensory module can confirm the distance and interference direction of the interference terminal through the perception function; The network management module aggregates data uploaded by terminals across the entire network; The virtual cell module samples the interference data of the interfering terminal from the network management module and presents the interference data of the corresponding interfering terminal cluster in the form of a virtual cell to determine the location of the interference source.

10. The interference source location system for wireless communication according to claim 9, characterized in that: In the telepathy module, the base station transmits electromagnetic waves to the terminal through the sensing time slot and receives the echo from the terminal. The distance between the base station and the terminal is obtained based on the product of the time difference between the receiving time and the transmitting time and the speed of light divided by two.

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