Interference positioning method and apparatus, computing device, and computer storage medium

Abstract

The application discloses a method for locating interference, comprising: obtaining a same-frequency neighbor list of an intra-system interference cell; obtaining service load data of each same-frequency neighbor; calculating relative positions of the intra-system interference cell and the same-frequency neighbor based on relevant information of the intra-system interference cell and the same-frequency neighbor, and determining path loss adjustment amounts of each same-frequency neighbor; adjusting distances from a same-frequency neighbor terminal to a sky surface of the intra-system interference cell based on the relative positions of the intra-system interference cell and the same-frequency neighbor; respectively calculating path losses from the same-frequency neighbor terminal to the same-frequency neighbor and the intra-system interference cell; and calculating hour-granularity uplink aggregate interference power of the same-frequency neighbor terminal to the intra-system interference cell according to the service load data of the same-frequency neighbor, the path losses from the same-frequency neighbor terminal to the same-frequency neighbor and the intra-system interference cell, and cell reference signal transmission power configurations of the intra-system interference cell and the same-frequency neighbor. The method can conveniently, accurately and efficiently locate positions of cell interference sources.

Description

Technical Field

[0001] This invention relates to an interference localization method, specifically to an interference localization method, apparatus, computing device, and computer storage medium. Background Technology

[0002] With the continuous development of TD-LTE (Time Division Long Term Evolution) network scale, users, and services, interference problems within co-frequency TD-LTE systems are becoming increasingly serious, severely impacting user experience. Currently, the commonly used method for locating co-frequency interference in 4G systems involves correlation analysis of multiple data sources, including MR (Measurement Report) data, engineering parameter data, and traffic volume data. This method uses deterministic calculations and analysis of massive MR sampling point-level data from co-frequency neighboring cells within a certain distance range around the affected cell to obtain the interference contribution of each neighboring cell. Then, by ranking the top five neighboring cells with the highest interference contributions, these are identified as the main interference source neighboring cells for further optimization and adjustment to resolve the interference problem within the system.

[0003] Invention patent CN201811321220.9 discloses a method for locating interference sources in a cell: For each neighboring cell of the interfered cell, the uplink interference amount of the neighboring cell to the interfered cell is determined based on the path loss from the interfered cell to the terminal in the neighboring cell and the transmit power of the terminal in the neighboring cell; based on the uplink interference amount of each neighboring cell to the interfered cell, the interference coefficient of each neighboring cell to the interfered cell is calculated; wherein, the interference coefficient of the neighboring cell to the interfered cell represents the degree of interference of the neighboring cell to the interfered cell; based on the interference coefficient of each neighboring cell to the interfered cell, the interference source is located in each neighboring cell.

[0004] This method is mainly based on MR data calculation and analysis, and has the following main drawbacks:

[0005] 1) MR data is large in volume, and the deterministic analysis of sampling point-level data is computationally intensive, with low computational efficiency, long processing time, and high requirements for the performance of storage and computing devices.

[0006] 2) The effectiveness of system interference localization analysis based on MR data is poor;

[0007] 3) The completeness of MR data from the base station throughout the day cannot be guaranteed, which directly affects the accuracy of positioning analysis;

[0008] 4) Providing MR data for terminal connection is quite difficult, requiring the development of dedicated automatic connection and acquisition tools, which brings additional development and deployment cost pressure and security management pressure. Summary of the Invention

[0009] In view of the above problems, the present invention is proposed to provide an interference localization method, apparatus, computing device, and computer storage that overcomes or at least partially solves the above problems.

[0010] According to one aspect of the present invention, an interference localization method is provided, comprising:

[0011] Based on the engineering parameter data, obtain the list of co-frequency neighboring cells of interfering cells within the system;

[0012] Based on the traffic volume data, a traffic load analysis is performed on each co-frequency neighboring cell to obtain traffic load data;

[0013] Based on the relevant information of interfering cells and co-frequency neighboring cells within the system, calculate the relative positions of interfering cells and co-frequency neighboring cells within the system, and determine the path loss adjustment amount for each co-frequency neighboring cell;

[0014] Based on the relative positions of interfering cells and co-frequency neighboring cells within the system, adjust the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell within the system;

[0015] Calculate the path loss from the terminal in the same frequency neighboring cell to the neighboring cell in the same frequency and the interfering cell within the system, respectively; and

[0016] Based on the service load data of the co-frequency neighboring cells, the path loss from the co-frequency neighboring cell terminal to the co-frequency neighboring cell and the interfering cell within the system, as well as the cell reference signal transmit power configuration of the interfering cell within the system and the co-frequency neighboring cell, the hourly granular uplink lumped interference power of the co-frequency neighboring cell terminal to the interfering cell within the system is calculated.

[0017] Optionally, based on traffic volume data, traffic load analysis is performed on each co-frequency neighboring cell to obtain traffic load data, which further includes:

[0018] Based on traffic volume data, obtain the average number of wireless resource control connections and the total uplink traffic of users on the user plane at the hourly granularity throughout the day for each co-frequency neighboring cell.

[0019] Optionally, based on traffic volume data, traffic load analysis is performed on each co-frequency neighboring cell to obtain traffic load data, which also includes:

[0020] Calculate the correlation coefficient between the average hourly granular interference of interfering cells within the system and the average number of wireless resource control connections of each co-frequency neighboring cell at the hourly granularity.

[0021] Optionally, calculating the relative positions of interfering cells and co-frequency neighboring cells within the system based on relevant information of interfering cells and co-frequency neighboring cells within the system, and determining the path loss adjustment amount for each co-frequency neighboring cell, further includes:

[0022] The distance between interfering cells and co-frequency neighboring cells in the system is calculated based on their latitude and longitude information. Based on angle analysis, it is determined whether the co-frequency neighboring cell is located in the main lobe region, side lobe region, or back lobe region of the interfering cell in the system, and the path loss adjustment amount of each co-frequency neighboring cell is determined.

[0023] Optionally, adjusting the distance from the terminal in the co-frequency neighboring cell to the roof of the interfering cell within the system, based on the relative positions of the interfering cell and the co-frequency neighboring cell, further includes:

[0024] Based on the relative positions of interfering cells and co-frequency neighboring cells within the system, and the antenna azimuth angle, it is determined whether the main lobe region of the co-frequency neighboring cell is close to / far from the interfering cell within the system, and then the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell within the system is adjusted.

[0025] Optionally, based on the service load data of co-frequency neighboring cells, the path loss from the co-frequency neighboring cell terminal to the co-frequency neighboring cell and the interfering cell within the system, and the cell reference signal transmit power configuration of the interfering cell within the system and the co-frequency neighboring cell, the hourly granular uplink lumped interference power of the co-frequency neighboring cell terminal to the interfering cell within the system is calculated. This further includes calculating the daily granular uplink lumped interference power of each co-frequency neighboring cell to the interfering cell within the system. The formula for calculating the daily granular uplink lumped interference power I of each co-frequency neighboring cell to the interfering cell within the system is as follows:

[0026]

[0027] Where, ρ I,T The Pearson correlation coefficient is represented by RRCAvrCount, which represents the average number of radio resource control connections in co-frequency neighboring cells, and PL′ is represented by PL′. SC PL′ represents the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. nc ΔCRS represents the average path loss from all terminals in the co-frequency neighboring cell to the interfering cell in the system, and ΔCRS represents the difference between the CRS transmit power of the co-frequency neighboring cell and the CRS transmit power of the interfering cell in the system.

[0028] Optionally, the interference localization method further includes:

[0029] Calculate the interference contribution of each co-frequency neighboring cell to determine the main interference source neighboring cells; wherein, the formula for calculating the interference contribution is:

[0030]

[0031] Where, p i I represents the interference contribution of neighboring cell i at the same frequency. i The uplink lumped interference power at the day-level of neighboring cell i in the same frequency range, ∑I i This represents the sum of the uplink lumped interference power at the granular level for all co-frequency neighboring cells.

[0032] According to another aspect of the present invention, an interference positioning device is provided, comprising:

[0033] The acquisition module obtains a list of co-frequency neighboring cells of interfering cells within the system based on engineering parameter data;

[0034] The analysis module performs service load analysis on each co-frequency neighboring cell based on service volume data to obtain service load data.

[0035] The first calculation module calculates the relative positions of interfering cells and co-frequency neighboring cells within the system based on relevant information of interfering cells and co-frequency neighboring cells within the system, and determines the path loss adjustment amount for each co-frequency neighboring cell.

[0036] The adjustment module adjusts the distance from the terminal in the co-frequency neighboring cell to the roof of the interfering cell in the system based on the relative positions of the interfering cell and the co-frequency neighboring cell in the system.

[0037] The second calculation module calculates the path loss from the terminal in the same frequency neighboring cell to the neighboring cell in the same frequency and the interfering cell within the system, respectively; and

[0038] The third calculation module calculates the hourly granular uplink lumped interference power of the terminal in the same frequency neighboring cell to the interfering cell in the system based on the service load data of the same frequency neighboring cell, the path loss from the terminal in the same frequency neighboring cell to the same frequency neighboring cell and the interfering cell in the system, and the cell reference signal transmit power configuration of the interfering cell in the system and the same frequency neighboring cell.

[0039] Optionally, the analysis module is further adapted to:

[0040] Based on traffic volume data, obtain the average number of wireless resource control connections and the total uplink traffic of users on the user plane at the hourly granularity throughout the day for each co-frequency neighboring cell.

[0041] Optionally, the analysis module is further adapted to:

[0042] Calculate the correlation coefficient between the average hourly granular interference of interfering cells within the system and the average number of wireless resource control connections of each co-frequency neighboring cell at the hourly granularity.

[0043] Optionally, the first computing module is further adapted to:

[0044] The distance between interfering cells and co-frequency neighboring cells in the system is calculated based on their latitude and longitude information. Based on angle analysis, it is determined whether the co-frequency neighboring cell is located in the main lobe region, side lobe region, or back lobe region of the interfering cell in the system, and the path loss adjustment amount of each co-frequency neighboring cell is determined.

[0045] Optionally, the adjustment module is further adapted to:

[0046] Based on the relative positions of interfering cells and co-frequency neighboring cells within the system, and the antenna azimuth angle, it is determined whether the main lobe region of the co-frequency neighboring cell is close to / far from the interfering cell within the system, and then the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell within the system is adjusted.

[0047] Optionally, the third computing module is further adapted to:

[0048] The formula for calculating the daily granularity uplink lumped interference power I of each co-frequency neighboring cell to the interfering cell within the system is as follows:

[0049]

[0050] Where, ρ I,T The Pearson correlation coefficient is represented by RRCAvrCount, which represents the average number of radio resource control connections in co-frequency neighboring cells, and PL′ is represented by PL′. SC PL′ represents the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. nC ΔCRS represents the average path loss from all terminals in the co-frequency neighboring cell to the interfering cell in the system, and ΔCRS represents the difference between the CRS transmit power of the co-frequency neighboring cell and the CRS transmit power of the interfering cell in the system.

[0051] Alternatively, the interference locating device is further adapted to:

[0052] Calculate the interference contribution of each co-frequency neighboring cell to determine the main interference source neighboring cells; wherein, the formula for calculating the interference contribution is:

[0053]

[0054] Where, p i I represents the interference contribution of neighboring cell i at the same frequency. i The uplink lumped interference power at the day-level of neighboring cell i in the same frequency range, ∑I i This represents the sum of the uplink lumped interference power at the granular level for all co-frequency neighboring cells.

[0055] According to another aspect of the present invention, a computer storage medium is provided, the storage medium storing at least one executable instruction that causes a processor to perform an operation corresponding to the interference localization method described above.

[0056] According to the interference localization method, apparatus, computing device, and storage medium provided by this invention, a list of co-frequency neighboring cells of interfering cells within the system is obtained based on engineering parameter data; service load analysis is performed on each co-frequency neighboring cell based on service volume data to obtain service load data; the relative positions of interfering cells and co-frequency neighboring cells within the system are calculated based on relevant information of interfering cells and co-frequency neighboring cells, and the path loss adjustment amount for each co-frequency neighboring cell is determined; the distance from the co-frequency neighboring cell terminal to the antenna of the interfering cell within the system is adjusted based on the relative positions of interfering cells and co-frequency neighboring cells within the system; the path loss from the co-frequency neighboring cell terminal to the co-frequency neighboring cell and the interfering cell within the system are calculated respectively; and the hourly uplink lumped interference power of the co-frequency neighboring cell terminal to the interfering cell within the system is calculated based on the service load data of the co-frequency neighboring cell, the path loss from the co-frequency neighboring cell terminal to the co-frequency neighboring cell and the interfering cell within the system, and the cell reference signal transmission power configuration of the interfering cell and the co-frequency neighboring cell within the system. This interference localization method makes the data source lightweight, the localization calculation efficient, the real-time performance high, the accuracy high, and the deployment and application implementation convenient and simple.

[0057] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0058] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0059] Figure 1 A schematic diagram of interference from interfering cells within the system is shown;

[0060] Figure 2 A flowchart illustrating an interference localization method according to Embodiment 1 of the present invention is shown.

[0061] Figure 3 A flowchart illustrating an interference localization method according to Embodiment 2 of the present invention is shown.

[0062] Figure 4 A schematic diagram illustrating the relative horizontal positions of each cell according to Embodiment 2 of the present invention is shown.

[0063] Figure 5 A schematic diagram illustrating the average distance between the UE and the base station according to Embodiment 2 of the present invention is shown;

[0064] Figures 6a-6eA schematic diagram illustrating the relative positions of interfering cells and co-frequency neighboring cells within a system according to Embodiment 2 of the present invention is shown.

[0065] Figure 7 A schematic diagram of the main lobe region deviation analysis of the same frequency neighboring region according to Embodiment 2 of the present invention is shown;

[0066] Figure 8 A functional structural diagram of an interference positioning device according to Embodiment 3 of the present invention is shown; and

[0067] Figure 9 A schematic diagram of the structure of a computing device according to Embodiment 4 of the present invention is shown. Detailed Implementation

[0068] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0069] Interference within a 4G network system refers to the uplink aggregate interference caused to adjacent base stations by 4G co-frequency neighboring cells when performing uplink services. It is co-frequency interference and cannot be investigated by multi-angle testing and frequency sweeping analysis using a spectrum analyzer, as is the case with external interference.

[0070] like Figure 1 As shown, assuming the transmit power of UE3 (User Equipment) during uplink transmission is P, the path loss from UE3 to cell 2 is PL2, and the path loss to cell 1 is PL1. According to the power control algorithm of the Physical Uplink Shared Channel (PUSCH), the uplink transmit power of the UE is proportional to its path loss to the base station. Therefore, PL2 can be used to characterize the transmit power of UE3. Thus, the total uplink interference power of all terminals in cell 2 to cell 1 can be characterized by the following formula:

[0071] I=Σ(PL SC -PL nC ) i

[0072] PL SC PL represents the path loss of the serving cell (i.e., the co-frequency neighboring cell of the interfering cell in the system) to which terminal i belongs. nC This represents the path loss from terminal i in a neighboring cell on the same frequency to the interfering cell within the system.

[0073] As described above, the intra-system co-channel interference experienced by a 4G system with co-frequency networking is related to multiple factors, including the service load of neighboring cells, the relative positions of the two cells, and the CRS (Cell Reference Signal) transmit power configuration of the two cells. The interference localization method provided by this invention will be illustrated below through specific embodiments.

[0074] Example 1

[0075] Figure 2 A flowchart illustrating the interference localization method provided according to Embodiment 1 of the present invention is shown. Figure 2 As shown, the method includes:

[0076] Step S210: Based on the engineering parameter data, obtain the list of co-frequency neighboring cells of interfering cells in the system.

[0077] Commonly used engineering parameters in 4G networks include: base station longitude, base station latitude, base station name, local cell identifier, downlink frequency, downlink bandwidth, cell identifier, PCI (Physical Cell Identifier), cell activation status, PRACH (Root Sequence Index), cell transmit and receive modes, cell instance status, base station identifier, PA value (dB) when PDSCH uses uniform power allocation, reference signal power (0.1 mW dB), PB (ratio of data subcarrier power to pilot subcarrier power of OFDM symbol with pilot (Class B symbol)) and TAC (Tracking Area Code).

[0078] Based on the above engineering parameter data, all co-frequency neighboring cells within a certain distance range (generally 1km) of the interfering cell in the system are obtained. Specifically, the determination of co-frequency neighboring cells is based on the center carrier channel number of the two cells. If |Earfcn Acell -Earfcn Bcell If |≤10, then interfering cell A and co-frequency neighboring cell B are co-frequency neighboring cells within the system.

[0079] Step S220: Based on the traffic volume data, perform traffic load analysis on each co-frequency neighboring cell to obtain traffic load data.

[0080] Specifically, traffic data includes, but is not limited to, the average number of Radio Resource Control (RRC) connections at the hourly granularity of co-frequency neighboring cells throughout the day, the total uplink traffic of user planes, the total uplink traffic of user planes of co-frequency neighboring cells throughout the day, and the average interference at the hourly granularity of interfering cells within the system throughout the day.

[0081] The aggregate uplink interference intensity of co-frequency neighboring cells to interfering cells within the system is positively correlated with the number of users and the service load. Therefore, the average number of RRC connections and the total uplink traffic per user plane at the hourly granularity throughout the day for each co-frequency neighboring cell are used to characterize these two interference factors, respectively. Meanwhile, the aggregate uplink interference intensity of co-frequency neighboring cells to interfering cells within the system is related not only to the number of users but also to the uplink service load of each user. Therefore, the correlation coefficient (Pearson correlation coefficient) between the total uplink traffic per user plane throughout the day for co-frequency neighboring cells and the average interference at the hourly granularity throughout the day for interfering cells within the system is used to characterize the service load of users in co-frequency neighboring cells.

[0082] Step S230: Calculate the relative positions of interfering cells and co-frequency neighboring cells within the system based on relevant information of interfering cells and co-frequency neighboring cells within the system, and determine the path loss adjustment amount for each co-frequency neighboring cell.

[0083] The uplink interference intensity of a co-channel neighboring cell to an interfering cell within the system is closely related to the relative positions of the interfering cell and the co-channel neighboring cell. The relative positions directly affect the path loss from the co-channel neighboring cell terminal to the interfering cell and the co-channel neighboring cell; therefore, the path loss is also related to factors such as the distance between the interfering cell and the co-channel neighboring cell, and the antenna azimuth angle. The distance between the interfering cell and the co-channel neighboring cell directly determines the distance between the co-channel neighboring cell terminal and the interfering cell. The smaller the distance between the interfering cell and the co-channel neighboring cell, the smaller the distance between the co-channel neighboring cell terminal and the interfering cell, and the greater the interference intensity from the co-channel neighboring cell terminal to the interfering cell. Conversely, the larger the distance between the interfering cell and the co-channel neighboring cell, the greater the distance between the co-channel neighboring cell terminal and the interfering cell, and the smaller the interference intensity from the co-channel neighboring cell terminal to the interfering cell.

[0084] Step S240: Based on the relative positions of the interfering cell and the co-frequency neighboring cell within the system, adjust the distance from the co-frequency neighboring cell terminal to the roof of the interfering cell within the system.

[0085] Step S250: Calculate the path loss from the terminal in the same frequency neighboring cell to the neighboring cell in the same frequency and the interfering cell in the system.

[0086] Based on the relative positions of interfering cells and co-frequency neighboring cells determined in step 230, and the path loss adjustment amount of each co-frequency neighboring cell, the path loss from each co-frequency neighboring cell terminal to the co-frequency neighboring cell and the interfering cell in the system is calculated respectively.

[0087] Step S260: Calculate the hourly granular uplink lumped interference power of the terminal in the same frequency neighboring cell to the interfering cell in the system based on the service load data of the same frequency neighboring cell, the path loss from the terminal in the same frequency neighboring cell to the same frequency neighboring cell and the interfering cell in the system, and the cell reference signal transmit power configuration of the interfering cell in the system and the same frequency neighboring cell.

[0088] For interfering cells within the system, the higher the CRS power of the interfering cell, the larger its coverage area. By absorbing terminals from neighboring cells on the same frequency, the coverage area of ​​neighboring cell B on the same frequency is somewhat compressed, thus reducing the lumped interference of neighboring cells on the same frequency. Conversely, for neighboring cells on the same frequency, the higher the CRS power, the larger its coverage area, and the more terminals in the neighboring cells on the same frequency, thus increasing the lumped interference of the interfering cell within the system. Therefore, a CRS power adjustment needs to be introduced into the final uplink lumped interference power calculation to characterize the impact of the CRS configuration of interfering cells and neighboring cells on the intra-system interference.

[0089] The formula for calculating the hourly uplink lumped interference power of a co-frequency neighboring cell terminal to interfering cells within the system is as follows:

[0090] I h =ρ I,T *(PL′ SC -PL′ nC )*RRCAvrCount*ΔCRS

[0091] Where, ρ I,T The Pearson correlation coefficient is represented by RRCAvrCount, which represents the average number of radio resource control connections in co-frequency neighboring cells, and PL′ is represented by PL′. SC PL′ represents the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. nC ΔCRS represents the average path loss from all terminals in the co-frequency neighboring cell to the interfering cell in the system, and ΔCRS represents the difference between the CRS transmit power of the co-frequency neighboring cell and the CRS transmit power of the interfering cell in the system.

[0092] Therefore, the interference localization method according to this embodiment has the advantages of lightweight data source, high localization calculation efficiency, high real-time performance, high accuracy, and convenient and simple deployment and application.

[0093] Example 2

[0094] Figure 3 A flowchart illustrating the interference localization method provided according to Embodiment 2 of the present invention is shown. Figure 3 As shown, the method includes:

[0095] Step S310: Based on the engineering parameter data, obtain the list of co-frequency neighboring cells of interfering cells in the system.

[0096] For a detailed description of step S310, please refer to step S210, which will not be repeated here.

[0097] Step S320: Based on the traffic volume data, perform traffic load analysis on each co-frequency neighboring cell to obtain the average number of radio resource control connections and the total uplink traffic of the user plane at the hourly granularity throughout the day for each co-frequency neighboring cell.

[0098] The uplink aggregate interference intensity of co-frequency neighboring cells to interfering cells within the system is positively correlated with the number of users and the service load. Therefore, the average number of RRC connections and the total uplink traffic of user planes at the hourly granularity of each co-frequency neighboring cell are used to characterize these two interference factors respectively.

[0099] When the number of users is represented by the RRC average connection count, the hourly granular uplink lumped interference power I of co-frequency neighboring cells to interfering cells within the system is... h The calculation formula is:

[0100] I h =ΣI UE =I′ UE *RRCAvrCount=(PL′ SC -PL′ nC )*RRCAvrCount

[0101] I UE =PL SC -PL nC

[0102] I' UE =PL′ SC -PL′ nC

[0103] Among them, I UE I′ represents the relative interference power of co-frequency neighboring cells to interfering cells within the system. UE RRCavrCount represents the average relative interference power of all co-frequency neighboring cells to interfering cells within the system, and PL represents the average RRC connection number of co-frequency neighboring cells. SC PL′ represents the path loss from the terminal in a co-frequency neighboring cell to the neighboring cell in the same frequency. SC PL represents the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. nC PL′ characterizes the path loss from a co-frequency neighboring cell terminal to an interfering cell within the system. nC It represents the average path loss from all terminals in co-frequency neighboring cells to interfering cells within the system.

[0104] Step S330: Calculate the correlation coefficient between the hourly granular interference mean of the interfering cell in the system and the total uplink traffic of each co-frequency neighboring cell throughout the day.

[0105] Specifically, the uplink aggregate interference intensity of co-frequency neighboring cells to interfering cells in the system is related not only to the number of users, but also to the uplink service load of each user. Therefore, the correlation coefficient (Pearson correlation coefficient) between the total uplink traffic of co-frequency neighboring cells throughout the day and the average hourly granular interference of interfering cells in the system throughout the day is used to characterize the service load of users in co-frequency neighboring cells.

[0106] The Pearson correlation coefficient is a method for measuring vector similarity. It measures the linear correlation between variables I (the average hourly granular interference of interfering cells within the system) and T (the total daily uplink traffic of a co-frequency neighboring cell). Its value ranges from -1 to 1. A negative Pearson correlation coefficient indicates a negative correlation between variables I and T, while a positive coefficient indicates a positive correlation. The formula for calculating the correlation coefficient between the average hourly granular interference of interfering cells within the system and the total daily uplink traffic of a co-frequency neighboring cell is as follows:

[0107]

[0108] When the correlation coefficient between the hourly average interference value of the interfering cell within the system and the total uplink traffic of a co-frequency neighboring cell throughout the day is used, the hourly granular uplink lumped interference power I of the co-frequency neighboring cell to the interfering cell within the system is... h The calculation formula is:

[0109] I h =ΣI UE =ρ I,T *I′ UE *RRCAvrCount

[0110] Where, ρ I,T I′ represents the correlation coefficient between the total uplink traffic of user planes in co-frequency neighboring cells and the average hourly granular interference of interfering cells within the system. UE RRCAvrCount represents the average relative interference power of all co-frequency neighboring cells to interfering cells within the system, while RRCAvrCount represents the average number of radio resource control connections in co-frequency neighboring cells.

[0111] Step S340: Calculate the distance between the interfering cell and the co-frequency neighboring cell based on the latitude and longitude information of the interfering cell and the co-frequency neighboring cell in the system; determine whether the co-frequency neighboring cell is located in the main lobe region, side lobe region, or back lobe region of the interfering cell in the system based on angle analysis, and determine the path loss adjustment amount for each co-frequency neighboring cell.

[0112] Specifically, for example, the relative positions of the interfering cell and its co-frequency neighboring cell can be calculated using their latitude and longitude information. Those skilled in the art can use other known techniques to calculate the distance between the interfering cell and its co-frequency neighboring cell, and no restrictions are imposed here. The distance between the interfering cell and its co-frequency neighboring cell directly determines the distance between the co-frequency neighboring cell terminal and the interfering cell. The smaller the distance between the interfering cell and its co-frequency neighboring cell, the smaller the distance between the co-frequency neighboring cell terminal and the interfering cell, and the greater the interference intensity of the co-frequency neighboring cell terminal on the interfering cell. Conversely, the larger the distance between the interfering cell and its co-frequency neighboring cell, the greater the distance between the co-frequency neighboring cell terminal and the interfering cell, and the less the interference intensity of the co-frequency neighboring cell terminal on the interfering cell.

[0113] Based on the antenna direction angle of the interfering cell within the system and the position of the co-frequency neighboring cell relative to the interfering cell within the system, it is determined whether the co-frequency neighboring cell is located in the main lobe region of the interfering cell within the system. If the co-frequency neighboring cell terminal is located in the main lobe region of the interfering cell within the system, it will cause greater interference to the interfering cell within the system due to its greater antenna gain.

[0114] Figure 4 A schematic diagram illustrating the relative horizontal positions of each cell according to Embodiment 2 of the present invention is shown. Figure 4 The diagram shows the relative positions of interfering cell A and its co-frequency neighboring cells B(B'), C, and D within the system. In terms of their relative positions on the horizontal plane, the interference intensity of each co-frequency neighboring cell B(B'), C, and D on interfering cell A is related to the inter-site distance and antenna azimuth angle between the neighboring cells and interfering cell A. From... Figure 4As can be seen, neighboring cell B is located in the main lobe region of interfering cell A within the system, while neighboring cell C is located in the opposite direction (back lobe region) of the main lobe region of interfering cell A, and neighboring cell D is located on one side (side lobe region) of the main lobe region of interfering cell A. Because neighboring cells B, C, and D are located in different directions from interfering cell A within the system, meaning their terminals are positioned at different locations within the main lobe region of the interfering cell A antenna, their gains when facing the antenna of interfering cell A are different. Therefore, under the same conditions, the interference intensity of terminal B in the same frequency neighboring cell to interfering cell A within the system is greater than that of terminals C / D in the same frequency neighboring cells to interfering cell A within the system. Since terminal C in the same frequency neighboring cell is located in the opposite direction of the main lobe region of interfering cell A within the system, and terminal D in the same frequency neighboring cell is located on one side of the main lobe region of interfering cell A within the system, under the same conditions, the interference intensity of terminal D in the same frequency neighboring cell to interfering cell A within the system is greater than that of terminal C in the same frequency neighboring cell. Terminal B' in the same frequency neighboring cell is located in the main lobe region of interfering cell A within the system, but terminal B' is farther away from interfering cell A within the system than terminal B in the same frequency neighboring cell. Therefore, the interference intensity of terminal B' in the same frequency neighboring cell to interfering cell A within the system is less than that of terminal B in the same frequency neighboring cell, whose main lobe region is closer to interfering cell A within the system.

[0115] Construct a rectangular coordinate system centered on interfering cell A within the system. Assume the angle between interfering cell A and its co-frequency neighboring cell B is θ. Taking the co-frequency neighboring cell B as being located in the first quadrant as an example, calculate the angle θ using the following formula:

[0116]

[0117] The formula for calculating the distance between interfering cell A and its co-frequency neighboring cell B within the system is as follows:

[0118] d=arc cos((sinLat A ×sinLat B )+(cosLat A ×cosLat B ×cos(LOn B -LOn A )))×R

[0119] Where, d W d represents the distance in the latitudinal direction. j LON represents the distance in the longitude direction. A LOn B These represent the longitudes of interfering cell A and co-frequency neighboring cell B within the system, respectively. A Lat BThese represent the latitudes of interfering cell A and co-frequency neighboring cell B within the system, respectively. R is the average radius of the Earth, which is 6371.004 km, and d is in km.

[0120] Furthermore, the antenna height and downtilt angle of interfering cell A and co-frequency neighboring cell B within the system will also affect the interference intensity by influencing the antenna gain: the higher the antenna height and the smaller the antenna downtilt angle, the more susceptible it is to lumped interference from co-frequency neighboring cells. Figure 5 A schematic diagram of the average distance between the UE and the base station according to Embodiment 2 of the present invention is shown. The antenna height of the co-frequency neighboring cell B is Hb, the antenna downtilt angle is β, the beam tilt angle in the 3dB direction is β' (i.e., the beam half-power angle is β-β'), and its coverage radius is R (R = Hb * cotβ'). To characterize the position of the terminal in the co-frequency neighboring cell B and the base station, d = Hb * cotβ is used to characterize the average horizontal distance between the terminal in the co-frequency neighboring cell B and the base station. Therefore, the average path loss of the UE terminal in the co-frequency neighboring cell B from the antenna of the co-frequency neighboring cell B can be characterized by the following formula:

[0121]

[0122] Specifically, the relative positions of the interfering cell A and the co-frequency neighboring cell B within the system have the following five scenarios: (a) The main lobe regions of the interfering cell A and the co-frequency neighboring cell B within the system are opposite, and d = Hb * cotβ is less than the distance between the interfering cell A and the co-frequency neighboring cell B within the system; (b) The main lobe regions of the interfering cell A and the co-frequency neighboring cell B within the system are opposite, and d = Hb * cotβ is greater than the distance between the interfering cell A and the co-frequency neighboring cell B within the system; (c) The main lobe regions of the interfering cell A and the co-frequency neighboring cell B within the system are the same, and the interfering cell A is farther away from the UE; (4) The main lobe regions of the interfering cell A and the co-frequency neighboring cell B within the system are the same, and the co-frequency neighboring cell B is farther away from the UE; (5) The distance between the interfering cell A and the co-frequency neighboring cell B within the system is 0.

[0123] When calculating the path loss from neighboring cell B to interfering cell A within the system, it is necessary to adjust the path loss appropriately based on the relative horizontal positions of neighboring cell B and interfering cell A within the system, as well as the main lobe region: The baseline path loss is based on neighboring cell B being located in the main lobe region of interfering cell A within the system. If neighboring cell B is located in the back lobe region of interfering cell A within the system, then the difference in antenna main and back lobe coverage gain needs to be considered, and ΔPL should be subtracted from the baseline path loss. b dB, ΔPL b dB represents the terminal horizontal plane path loss adjustment value in the back lobe region; if the co-frequency neighboring cell B is located in the sidelobe region of interfering cell A within the system, ΔPL is subtracted from the reference path loss. S dB, ΔPL S dB represents the path loss adjustment value at the terminal horizontal plane of the sidelobe region. ΔPL band ΔPL S The specific value needs to be determined based on the antenna gain performance actually used in the 4G network.

[0124] Step S350: Based on the relative position and antenna direction angle of the interfering cell and the co-frequency neighboring cell in the system, determine whether the main lobe region of the co-frequency neighboring cell is close to / far away from the interfering cell in the system, and then adjust the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell in the system.

[0125] Figure 7 A schematic diagram of the main lobe region deviation analysis in the same-frequency neighboring region according to Embodiment 2 of the present invention is shown. For simplicity, in Figure 7 In this method, a straight line perpendicular to the line connecting the interfering cell A and the co-frequency neighboring cell B is used for differentiation. If the antenna direction angle of the co-frequency neighboring cell B is outside the vertical line, it is determined that the terminal of the co-frequency neighboring cell B is far away from the interfering cell A; if the antenna direction angle of the co-frequency neighboring cell B is inside the vertical line, it is determined that the terminal of the co-frequency neighboring cell B is close to the interfering cell A. Depending on the change of the angle θ between the interfering cell A and the co-frequency neighboring cell B, the outer angle α has different ranges. If 0° <= θ <= 90°, then α ∈ [θ + 270°, 360°] & [0°, θ + 60°]; if 90° <= θ <= 270°, then α ∈ [θ - 90°, θ + 90°]; if 270° <= θ <= 360°, then α ∈ [θ - 90°, 360°] & [0°, θ - 270°].

[0126] Step S360: Calculate the path loss from the terminal in the same frequency neighboring cell to the neighboring cell in the same frequency and the interfering cell in the system.

[0127] The path loss from the terminal in the same frequency neighboring cell to the neighboring cell and the interfering cell within the system is calculated based on the relative position of each cell on the horizontal plane. According to the relative position of each cell on the plane shown in step S340, the path loss from the terminal in the same frequency neighboring cell to the neighboring cell and the interfering cell within the system is calculated for five scenarios.

[0128] Scene 1

[0129] Neighboring cell B on the same frequency is located in the main lobe region of interfering cell A within the system, and the main lobe regions of neighboring cell B and interfering cell A are opposite each other. The distance between interfering cell A and neighboring cell B is greater than or equal to the average distance between the terminal UE and neighboring cell B: AB ≥ Hb * COtβ (see...) Figure 6a In this scenario, the distance d between the UE (User Equipment) of the co-frequency neighboring cell B and the rooftop of the interfering cell A within the system is... UE for:

[0130]

[0131] Consider the antenna gain brought by the antenna height and the antenna downtilt of the in-system interfering cell A, and the path loss PL from the terminal UE of the co-frequency neighboring cell B to the antenna plane of the in-system interfering cell A A It can be characterized as:

[0132]

[0133] is the adjustment value of the path loss of the antenna plane factor of the in-system interfering cell A, which is the ratio of the antenna height and the antenna downtilt of the in-system interfering cell A, and takes the integer part downward. If the antenna downtilt α is 0, the adjustment value of the path loss of the antenna plane factor is not considered.

[0134] Scenario 2

[0135] The co-frequency neighboring cell B is in the main lobe area of the in-system interfering cell A, and the co-frequency neighboring cell B is opposite to the main lobe area of the in-system interfering cell A. The distance between the in-system interfering cell A and the co-frequency neighboring cell B is less than the average distance of the terminal UE of the co-frequency neighboring cell B: AB < Hb * cotβ (see Figure 6b ). In this scenario, the distance d from the terminal UE of the co-frequency neighboring cell B to the antenna plane of the in-system interfering cell A UE is:

[0136]

[0137] Consider the antenna gain brought by the antenna height and the antenna downtilt of the in-system interfering cell A, and the path loss PL from the terminal UE of the co-frequency neighboring cell B to the antenna plane of the in-system interfering cell A A It can be characterized as:

[0138]

[0139] Scenario 3

[0140] The co-frequency neighboring cell B is in the main lobe area of the in-system interfering cell A, and the co-frequency neighboring cell B is the same as the main lobe area of the in-system interfering cell A (see Figure 6c ). The distance d from the terminal UE of the co-frequency neighboring cell B to the antenna plane of the in-system interfering cell A UE is:

[0141]

[0142] Consider the antenna gain brought by the antenna height and the antenna downtilt of the in-system interfering cell A, and the path loss PL from the terminal UE of the co-frequency neighboring cell B to the antenna plane of the in-system interfering cell A A It can be characterized as:

[0143]

[0144] Scenario 4

[0145] The co-frequency neighboring cell B is located in the opposite direction of the main lobe region of the interfering cell A within the system, and the main lobe region of co-frequency neighboring cell B is the same as that of the interfering cell A within the system (see...). Figure 6d The distance d between the UE (User Equipment) of the co-frequency neighboring cell B and the rooftop of the interfering cell A within the system. UE for:

[0146]

[0147] Considering the antenna gain caused by the antenna height and downtilt angle of interfering cell A within the system, the path loss PL from terminal UE B in the co-frequency neighboring cell to the roof of interfering cell A within the system is... A It can be characterized as:

[0148]

[0149] Scene 5

[0150] The co-frequency neighboring cell B is located in the opposite direction of the main lobe region of the interfering cell A within the system, and the main lobe region of co-frequency neighboring cell B is the same as that of the interfering cell A within the system (see...). Figure 6e The distance d between the UE (User Equipment) of the co-frequency neighboring cell B and the interfering antenna A within the system. UE for:

[0151]

[0152] Considering the antenna gain caused by the antenna height and downtilt angle of interfering cell A within the system, the path loss PL from the UE (user unit) in the same frequency neighboring cell to the roof of interfering cell A within the system is... A It can be characterized as:

[0153]

[0154] Step S370: Calculate the hourly granular uplink lumped interference power of the terminal in the same frequency neighboring cell to the interfering cell in the system based on the service load data of the same frequency neighboring cell, the path loss from the terminal in the same frequency neighboring cell to the same frequency neighboring cell and the interfering cell in the system, and the cell reference signal transmit power configuration of the interfering cell in the system and the same frequency neighboring cell.

[0155] For a detailed description of step S370, please refer to step S260, which will not be repeated here.

[0156] Step S380: Calculate the interference contribution of each co-frequency neighboring cell and determine the main interference source neighboring cell.

[0157] Based on the hourly granular uplink lumped interference power of each co-frequency neighboring cell B to the interfering cell A within the system, calculated in step 370, the all-day granular uplink lumped interference power I of each co-frequency neighboring cell B to the interfering cell A within the system is calculated using the following formula:

[0158]

[0159] Where, ρ I,T The Pearson correlation coefficient is represented by RRCAvrCount, which represents the average number of radio resource control connections in co-frequency neighboring cells, and PL′ is represented by PL′. SC PL′ represents the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. nC ΔCRS represents the average path loss from all terminals in the co-frequency neighboring cell to the interfering cell in the system, and ΔCRS represents the difference between the CRS transmit power of the co-frequency neighboring cell and the CRS transmit power of the interfering cell in the system.

[0160] Based on the all-day uplink lumped interference power I of each co-frequency neighboring cell B to interfering cell A within the system, the interference contribution of each co-frequency neighboring cell can be calculated using the following formula:

[0161]

[0162] Where, p i I represents the interference contribution of neighboring cell i at the same frequency. i The uplink lumped interference power at the day-level of neighboring cell i in the same frequency range, ∑I i This represents the sum of the uplink lumped interference power at the granular level for all co-frequency neighboring cells.

[0163] Therefore, the interference localization method provided in this embodiment has the advantages of small data volume, simple and quick data source connection, high data integrity, high timeliness and accuracy of localization analysis, and low performance requirements for storage and computing devices, making it widely applicable.

[0164] Example 3

[0165] Figure 8 A functional structural diagram of the interference positioning device provided according to Embodiment 3 of the present invention is shown. Figure 8 As shown, the device includes: an acquisition module 81, an analysis module 82, a first calculation module 83, an adjustment module 84, a second calculation module 85, and a third calculation module 86.

[0166] The acquisition module 81 is adapted to acquire a list of co-frequency neighboring cells of interfering cells in the system based on engineering parameter data;

[0167] Analysis module 82 is suitable for performing service load analysis on each co-frequency neighboring cell based on service volume data to obtain service load data;

[0168] The first calculation module 83 is adapted to calculate the relative positions of the interfering cells and co-frequency neighboring cells in the system based on relevant information of the interfering cells and co-frequency neighboring cells in the system, and to determine the path loss adjustment amount for each co-frequency neighboring cell.

[0169] The adjustment module 84 is adapted to adjust the distance from the terminal of the co-frequency neighboring cell to the roof of the interfering cell in the system based on the relative positions of the interfering cell and the co-frequency neighboring cell in the system.

[0170] The second calculation module 85 is adapted to calculate the path loss from the terminal in the same frequency neighboring cell to the neighboring cell in the same frequency and the interfering cell within the system, respectively; and

[0171] The third calculation module 86 is adapted to calculate the hourly granular uplink lumped interference power of the terminal in the same frequency neighboring cell to the interfering cell in the system based on the service load data of the same frequency neighboring cell, the path loss from the terminal in the same frequency neighboring cell to the same frequency neighboring cell and the interfering cell in the system, and the cell reference signal transmission power configuration of the interfering cell in the system and the same frequency neighboring cell.

[0172] Optionally, the analysis module 82 is further adapted to:

[0173] Based on traffic volume data, obtain the average number of wireless resource control connections and the total uplink traffic of users on the user plane at the hourly granularity throughout the day for each co-frequency neighboring cell.

[0174] Optionally, the analysis module 82 is further adapted to:

[0175] Calculate the correlation coefficient between the hourly granular interference mean of the interfering cell in the system and the total uplink traffic of each co-frequency neighboring cell throughout the day.

[0176] Optionally, the first computing module 83 is further adapted to:

[0177] The distance between interfering cells and co-frequency neighboring cells in the system is calculated based on their latitude and longitude information. Based on angle analysis, it is determined whether the co-frequency neighboring cell is located in the main lobe region, side lobe region, or back lobe region of the interfering cell in the system, and the path loss adjustment amount of each co-frequency neighboring cell is determined.

[0178] Optionally, the adjustment module 84 is further adapted to:

[0179] Based on the relative positions of interfering cells and co-frequency neighboring cells within the system, and the antenna azimuth angle, it is determined whether the main lobe region of the co-frequency neighboring cell is close to / far from the interfering cell within the system, and then the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell within the system is adjusted.

[0180] Optionally, the third computing module 86 is further adapted to:

[0181] The formula for calculating the daily granularity uplink lumped interference power I of each co-frequency neighboring cell to the interfering cell within the system is as follows:

[0182]

[0183] Where, ρ I,TThe Pearson correlation coefficient is represented by RRCAvrCount, which represents the average number of radio resource control connections in co-frequency neighboring cells, and PL′ is represented by PL′. SC PL′ represents the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. nC ΔCRS represents the average path loss from all terminals in the co-frequency neighboring cell to the interfering cell in the system, and ΔCRS represents the difference between the CRS transmit power of the co-frequency neighboring cell and the CRS transmit power of the interfering cell in the system.

[0184] Alternatively, the interference locating device is further adapted to:

[0185] Calculate the interference contribution of each co-frequency neighboring cell to determine the main interference source neighboring cells; wherein, the formula for calculating the interference contribution is:

[0186]

[0187] Where, p i I represents the interference contribution of neighboring cell i at the same frequency. i The uplink lumped interference power at the day-level of neighboring cell i in the same frequency range, ∑I i This represents the sum of the uplink lumped interference power at the granular level for all co-frequency neighboring cells.

[0188] Therefore, the interference positioning device provided in this embodiment has the characteristics of small data volume, simple and quick data source docking, high data integrity, high timeliness and accuracy of positioning analysis, and low performance requirements for storage and computing devices, and has wide applicability.

[0189] Example 4

[0190] According to Embodiment 4 of the present invention, a non-volatile computer storage medium is provided, the computer storage medium storing at least one executable instruction, which can execute the method in any of the above method embodiments.

[0191] Specifically, the executable instructions can be used to cause the processor to perform the following operations: obtain a list of co-frequency neighboring cells of interfering cells in the system based on engineering parameter data; perform service load analysis on each co-frequency neighboring cell based on service volume data to obtain service load data; calculate the relative positions of interfering cells and co-frequency neighboring cells in the system based on relevant information of interfering cells and co-frequency neighboring cells in the system, and determine the path loss adjustment amount for each co-frequency neighboring cell; adjust the distance from the co-frequency neighboring cell terminal to the roof of the interfering cell in the system based on the relative positions of interfering cells and co-frequency neighboring cells in the system; calculate the path loss from the co-frequency neighboring cell terminal to the co-frequency neighboring cell and the interfering cell in the system, respectively; and calculate the hourly granular uplink lumped interference power of the co-frequency neighboring cell terminal to the interfering cell in the system based on the service load data of the co-frequency neighboring cell, the path loss from the co-frequency neighboring cell terminal to the co-frequency neighboring cell and the interfering cell in the system, and the cell reference signal transmit power configuration of the interfering cell and the co-frequency neighboring cell.

[0192] In one alternative implementation, the executable instructions may specifically be used to cause the processor to perform the following operations:

[0193] Based on traffic volume data, obtain the average number of wireless resource control connections and the total uplink traffic of users on the user plane at the hourly granularity throughout the day for each co-frequency neighboring cell.

[0194] In one alternative implementation, the executable instructions may specifically be used to cause the processor to perform the following operations:

[0195] Calculate the correlation coefficient between the hourly granular interference mean of the interfering cell in the system and the total uplink traffic of each co-frequency neighboring cell throughout the day.

[0196] In one alternative implementation, the executable instructions may specifically be used to cause the processor to perform the following operations:

[0197] The distance between interfering cells and co-frequency neighboring cells within the system is calculated based on their latitude and longitude information.

[0198] Based on angle analysis, it is determined whether the co-frequency neighboring cell is located in the main lobe region, side lobe region, or back lobe region of the interfering cell within the system, and the path loss adjustment amount for each co-frequency neighboring cell is determined.

[0199] In one alternative implementation, the executable instructions may specifically be used to cause the processor to perform the following operations:

[0200] Based on the relative positions of interfering cells and co-frequency neighboring cells within the system, and the antenna azimuth angle, it is determined whether the main lobe region of the co-frequency neighboring cell is close to / far from the interfering cell within the system, and then the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell within the system is adjusted.

[0201] In one alternative implementation, the executable instructions may specifically be used to cause the processor to perform the following operations:

[0202] The formula for calculating the daily granularity uplink lumped interference power I of each co-frequency neighboring cell to the interfering cell within the system is as follows:

[0203]

[0204] Where, ρ I, The Pearson correlation coefficient is represented by RRCAvrCount, which represents the average number of radio resource control connections in co-frequency neighboring cells, and PL′ is represented by PL′. SC PL′ represents the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. nC ΔCRS represents the average path loss from all terminals in the co-frequency neighboring cell to the interfering cell in the system, and ΔCRS represents the difference between the CRS transmit power of the co-frequency neighboring cell and the CRS transmit power of the interfering cell in the system.

[0205] In one alternative implementation, the executable instructions may specifically be used to cause the processor to perform the following operations:

[0206] Calculate the interference contribution of each co-frequency neighboring cell to determine the main interference source neighboring cells; the formula for calculating the interference contribution is as follows:

[0207]

[0208] Where, p i I represents the interference contribution of neighboring cell i at the same frequency. i The uplink lumped interference power at the day-level of neighboring cell i in the same frequency range, ∑I i This represents the sum of the uplink lumped interference power at the granular level for all co-frequency neighboring cells.

[0209] Therefore, the interference localization method provided in this embodiment has the characteristics of small data volume, simple and quick data source connection, high data integrity, high timeliness and accuracy of localization analysis, and low performance requirements for storage devices and computing devices, and has wide applicability.

[0210] Example 5

[0211] Figure 9 The diagram shows a structural schematic of a computing device according to Embodiment 5 of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the computing device.

[0212] like Figure 9 As shown, the computing device may include: a processor 902, a communications interface 904, a memory 906, and a communications bus 908.

[0213] The processor 902, communication interface 904, and memory 906 communicate with each other via communication bus 908. Communication interface 904 is used to communicate with other network elements such as clients or other servers. The processor 902 executes program 910, specifically performing the relevant steps in the above method embodiments.

[0214] Specifically, program 910 may include program code that includes computer operation instructions.

[0215] Processor 902 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The computing device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0216] Memory 906 is used to store program 910. Memory 906 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0217] In one alternative implementation, program 910 may specifically be used to cause processor 902 to perform the following operations:

[0218] Based on traffic volume data, obtain the average number of wireless resource control connections and the total uplink traffic of users on the user plane at the hourly granularity throughout the day for each co-frequency neighboring cell.

[0219] In one alternative implementation, program 910 may specifically be used to cause processor 902 to perform the following operations:

[0220] Calculate the correlation coefficient between the hourly granular interference mean of the interfering cell in the system and the total uplink traffic of each co-frequency neighboring cell throughout the day.

[0221] In one alternative implementation, program 910 may specifically be used to cause processor 902 to perform the following operations:

[0222] The distance between interfering cells and co-frequency neighboring cells within the system is calculated based on their latitude and longitude information.

[0223] Based on angle analysis, it is determined whether the co-frequency neighboring cell is located in the main lobe region, side lobe region, or back lobe region of the interfering cell within the system, and the path loss adjustment amount for each co-frequency neighboring cell is determined.

[0224] In one alternative implementation, program 910 may specifically be used to cause processor 902 to perform the following operations:

[0225] Based on the relative positions of interfering cells and co-frequency neighboring cells within the system, and the antenna azimuth angle, it is determined whether the main lobe region of the co-frequency neighboring cell is close to / far from the interfering cell within the system, and then the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell within the system is adjusted.

[0226] In one alternative implementation, program 910 may specifically be used to cause processor 902 to perform the following operations:

[0227] The formula for calculating the daily granularity uplink lumped interference power I of each co-frequency neighboring cell to the interfering cell within the system is as follows:

[0228]

[0229] Where, ρ I,T The Pearson correlation coefficient is represented by RRCAvrCount, which represents the average number of radio resource control connections in co-frequency neighboring cells, and PL′ is represented by PL′. SC PL′ represents the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. nC ΔCRS represents the average path loss from all terminals in the co-frequency neighboring cell to the interfering cell in the system, and ΔCRS represents the difference between the CRS transmit power of the co-frequency neighboring cell and the CRS transmit power of the interfering cell in the system.

[0230] In one alternative implementation, program 910 may specifically be used to cause processor 902 to perform the following operations:

[0231] Calculate the interference contribution of each co-frequency neighboring cell to determine the main interference source neighboring cells; the formula for calculating the interference contribution is as follows:

[0232]

[0233] Where, p i I represents the interference contribution of neighboring cell i at the same frequency. i The uplink lumped interference power at the day-level of neighboring cell i in the same frequency range, ∑I i This represents the sum of the uplink lumped interference power at the granular level for all co-frequency neighboring cells.

[0234] Therefore, the interference localization method provided in this embodiment has the advantages of small data volume, simple and quick data source docking, high data integrity, high timeliness and accuracy of localization analysis, and low performance requirements for storage and computing devices, and has wide applicability.

[0235] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, the embodiments of the present invention are not directed to any particular programming language. It should be understood that the content of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0236] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0237] Similarly, it should be understood that, in order to simplify the invention and aid in understanding one or more of the various inventive aspects, features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof in the above description of exemplary embodiments of the invention. However, this disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.

[0238] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0239] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0240] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components according to the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0241] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

Claims

1. An interference localization method, characterized in that, include: Based on the engineering parameter data, obtain the list of co-frequency neighboring cells of interfering cells within the system; Based on the traffic volume data, a traffic load analysis is performed on each co-frequency neighboring cell to obtain traffic load data; Based on the relevant information of interfering cells and co-frequency neighboring cells within the system, calculate the relative positions of interfering cells and co-frequency neighboring cells within the system, and determine the path loss adjustment amount for each co-frequency neighboring cell; Based on the relative positions of interfering cells and co-frequency neighboring cells within the system, adjust the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell within the system; Calculate the path loss from the terminal in the same frequency neighboring cell to the neighboring cell in the same frequency and the interfering cell in the system, respectively; as well as Based on the service load data of neighboring cells on the same frequency, the path loss from the terminal in the neighboring cell to the neighboring cell and the interfering cell within the system, as well as the cell reference signal transmit power configuration of the interfering cell within the system and the neighboring cell on the same frequency, the hourly granular uplink lumped interference power of the terminal in the neighboring cell to the interfering cell within the system is calculated. Calculate the daily uplink lumped interference power I of each co-frequency neighboring cell to the interfering cell within the system. The formula for calculating I is: in, The Pearson correlation coefficient characterizes the degree of linear correlation between the hourly granular interference mean of interfering cells within the system and the total uplink traffic of neighboring users on the same frequency throughout the day. The average number of wireless resource control connections in co-frequency neighboring cells. Characterized by the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. Characterizes the average path loss from all terminals in co-frequency neighboring cells to interfering cells within the system. The difference between the CRS transmit power of a cell reference signal in a co-frequency neighboring cell and the CRS transmit power of an interfering cell within the system; Furthermore, the interference contribution of each co-frequency neighboring cell is calculated to determine the main interference source neighboring cells; wherein the formula for calculating the interference contribution is: *100% in, Characterizes the interference contribution of neighboring cell i at the same frequency. Characterizing the day-level uplink lumped interference power of neighboring cell i at the same frequency. This represents the sum of the uplink lumped interference power at the granular level for all co-frequency neighboring cells.

2. The interference localization method according to claim 1, characterized in that, The step of performing service load analysis on each co-frequency neighboring cell based on service volume data to obtain service load data further includes: Based on traffic volume data, obtain the average number of wireless resource control connections and the total uplink traffic of users on the user plane at the hourly granularity throughout the day for each co-frequency neighboring cell.

3. The interference localization method according to claim 1, characterized in that, The step of calculating the relative positions of interfering cells and co-frequency neighboring cells based on relevant information of interfering cells and co-frequency neighboring cells within the system, and determining the path loss adjustment amount for each co-frequency neighboring cell, further includes: The distance between interfering cells and co-frequency neighboring cells within the system is calculated based on their latitude and longitude information. Based on angle analysis, it is determined whether the co-frequency neighboring cell is located in the main lobe region, side lobe region, or back lobe region of the interfering cell within the system, and the path loss adjustment amount for each co-frequency neighboring cell is determined.

4. The interference localization method according to claim 1, characterized in that, The adjustment of the distance from the terminal in the co-frequency neighboring cell to the roof of the interfering cell within the system, based on the relative positions of the interfering cell and the co-frequency neighboring cell within the system, further includes: Based on the relative positions of interfering cells and co-frequency neighboring cells within the system, and the antenna azimuth angle, it is determined whether the main lobe region of the co-frequency neighboring cell is close to / far from the interfering cell within the system, and then the distance between the co-frequency neighboring cell terminal and the roof of the interfering cell within the system is adjusted.

5. An interference positioning device, characterized in that, include: The acquisition module is suitable for obtaining a list of co-frequency neighboring cells of interfering cells in the system based on engineering parameter data; The analysis module is suitable for performing service load analysis on each co-frequency neighboring cell based on service volume data to obtain service load data; The first calculation module is adapted to calculate the relative positions of interfering cells and co-frequency neighboring cells within the system based on relevant information of interfering cells and co-frequency neighboring cells within the system, and to determine the path loss adjustment amount for each co-frequency neighboring cell. The adjustment module is suitable for adjusting the distance from the terminal in the co-frequency neighboring cell to the roof of the interfering cell in the system based on the relative positions of the interfering cell and the co-frequency neighboring cell within the system. The second calculation module is suitable for calculating the path loss from the terminal in the same frequency neighboring cell to the neighboring cell in the same frequency and the interfering cell in the system, respectively. as well as The third calculation module is adapted to calculate the hourly granular uplink lumped interference power of the terminal in the same frequency neighboring cell to the interfering cell within the system, based on the service load data of the same frequency neighboring cell, the path loss from the terminal in the same frequency neighboring cell to the same frequency neighboring cell and the interfering cell within the system, and the cell reference signal transmit power configuration of the interfering cell within the system and the same frequency neighboring cell. Calculate the daily uplink lumped interference power I of each co-frequency neighboring cell to the interfering cell within the system. The formula for calculating I is: in, The Pearson correlation coefficient characterizes the degree of linear correlation between the hourly granular interference mean of interfering cells within the system and the total uplink traffic of neighboring users on the same frequency throughout the day. The average number of wireless resource control connections in co-frequency neighboring cells. Characterized by the average path loss from all terminals in a co-frequency neighboring cell to that neighboring cell. Characterizes the average path loss from all terminals in co-frequency neighboring cells to interfering cells within the system. The difference between the CRS transmit power of a cell reference signal in a co-frequency neighboring cell and the CRS transmit power of an interfering cell within the system; The interference localization device is further adapted to: Calculate the interference contribution of each co-frequency neighboring cell to determine the main interference source neighboring cells; wherein, the formula for calculating the interference contribution is: *100% in, Characterizes the interference contribution of neighboring cell i at the same frequency. Characterizing the day-level uplink lumped interference power of neighboring cell i at the same frequency. This represents the sum of the uplink lumped interference power at the granular level for all co-frequency neighboring cells.

6. A computing device, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the interference localization method as described in any one of claims 1-4.

7. A computer storage medium storing at least one executable instruction that causes a processor to perform an operation corresponding to the interference localization method as described in any one of claims 1-4.

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