An interference suppression method, apparatus, device, medium and product

Abstract

The present application provides an interference suppression method, apparatus, device, medium and product. For a target area with problems of weak signal coverage and signal overlapping coverage, the target starting beam of each target cell is determined by using an interference suppression algorithm function and SSB beam stagger constraint information, and then, according to each target starting beam, the mapping relationship between the SSB Index value and the SSB beam of each target cell is adjusted, so that the SSB beam of the serving cell can be staggered in time domain with the SSB beam in the interfering neighboring cell, realizing physical interference reduction between the SSB beams in the target area, thereby improving the network coverage quality of the target area and reducing the requirement of network transmission delay for the implementation of interference suppression, with better applicability.

Description

Technical Field

[0001] This application relates to the field of communication technologies, and in particular, to an interference suppression method, apparatus, device, medium, and product. Background Art

[0002] Due to the shortcoming of the propagation characteristics of the frequency band, the coverage ability of the 5G network is only about 1 / 3 of that of the 4G 1.8G. The 5G terminal is more sensitive to interference perception in the weak coverage overlapping area than the 4G, and problems such as the mobile phone being unable to access the Internet are more likely to occur, seriously affecting the user experience.

[0003] In the related art, due to the difference in the 5G frame structure, the transmission delay between 5G base stations is much lower than that of 4G. The existing interference suppression technologies for 4G networks (such as the 4G CoMP algorithm) are difficult to be applied to the interference suppression in the weak coverage overlapping area of the 5G network. Summary of the Invention

[0004] In view of the above problems, embodiments of this application provide an interference suppression method, apparatus, device, medium, and product to overcome or at least partially solve the above problems.

[0005] In the first aspect of the embodiments of this application, an interference suppression method is provided, and the method includes:

[0006] Obtain a plurality of target cells in a target area, where the target area is used to represent a weak coverage overlapping area, and the plurality of target cells include: one serving cell and a plurality of neighboring cells that meet the set conditions;

[0007] Obtain the initial beam configuration information associated with the plurality of target cells, where the initial beam configuration information is used to represent the synchronization broadcast block index SSB Index values of the plurality of target cells measured in the target area;

[0008] Determine the SSB beam associated with the SSB Index value of each target cell according to the initial beam configuration information;

[0009] Input the SSB beam associated with the SSB Index value of each target cell and the SSB beam stagger constraint information of each target cell into the interference suppression algorithm function of each target cell to obtain the target starting beam of each target cell, where the interference suppression algorithm function is used to represent the mapping relationship between the target starting beam, the SSB beam associated with the SSB Index value of a single target cell, and the SSB beam stagger constraint information of a single target cell;

[0010] Adjust the mapping relationship between the SSB Index value and the SSB beam of each target cell according to the target starting beam of each target cell, and obtain the new configuration information of the first beam combination of each target cell;

[0011] Based on the new configuration information of the first beam combination of each target cell, perform interference suppression on the serving cells in the target area.

[0012] In the second aspect of the embodiments of the present application, an interference suppression device is provided, and the device includes:

[0013] A first acquisition module, configured to acquire a plurality of target cells in a target area, where the target area is used to represent a weak coverage overlapping area, and the plurality of target cells include: a serving cell and a plurality of neighboring cells that meet set conditions;

[0014] A second acquisition module, configured to acquire the initial beam configuration information associated with the plurality of target cells, where the initial beam configuration information is used to represent the synchronization broadcast block index (SSB Index) values of the plurality of target cells measured in the target area;

[0015] A first processing module, configured to determine the SSB beam associated with the SSBIndex value of each target cell according to the initial beam configuration information;

[0016] A second processing module, configured to input the SSB beam associated with the SSB Index value of each target cell and the SSB beam stagger constraint information of each target cell into the interference suppression algorithm function of each target cell, and obtain the target starting beam of each target cell, where the interference suppression algorithm function is used to represent the mapping relationship between the target starting beam, the SSB beam associated with the SSB Index value of a single target cell, and the SSB beam stagger constraint information of a single target cell;

[0017] A third processing module, configured to adjust the mapping relationship between the SSB Index value and the SSB beam of each target cell according to the target starting beam of each target cell, and obtain the new configuration information of the first beam combination of each target cell;

[0018] A fourth processing module, configured to perform interference suppression on the serving cells in the target area based on the new configuration information of the first beam combination of each target cell.

[0019] In a third aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the interference suppression method described in the first aspect are implemented.

[0020] In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program / instruction is stored. When the computer program / instruction is executed by a processor, the steps of the interference suppression method described in the first aspect are implemented.

[0021] In a fifth aspect of the embodiments of the present application, a computer program product is provided, including a computer program / instruction. When the computer program / instruction is executed by a processor, the steps of the interference suppression method described in the first aspect are implemented.

[0022] The embodiments of the present application include the following advantages:

[0023] In this embodiment, for a target area (i.e., a weak coverage overlapping area) with signal weak coverage problems and signal re-coverage problems, by using an interference suppression algorithm function and SSB beam stagger constraint information, the target starting beam of each target cell is determined, and then according to each target starting beam, the mapping relationship between the SSB Index value and the SSB beam of each target cell is adjusted, so that the SSB beam of the serving cell can be staggered in time domain with the SSB beam in the interfering neighbor cell, realizing physical interference reduction between the SSB beams in the target area, thereby improving the network coverage quality of the target area, and reducing the requirement of the implementation of interference suppression for network transmission delay, with better applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0025] Figure 1 is an implementation flowchart of an interference suppression method according to an embodiment of the present application;

[0026] Figure 2 is a schematic diagram of a grid distribution map after decoupling of an area to be optimized according to an embodiment of the present application;

[0027] Figure 3 is a schematic diagram of the matching relationship between different starting beams and mapping modes according to an embodiment of the present application;

[0028] Figure 4It is a schematic structural diagram of an interference suppression device according to an embodiment of the present application;

[0029] Figure 5 It is a schematic diagram of an electronic device in an embodiment of the present application. Detailed implementation manners

[0030] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the accompanying drawings and specific implementation manners.

[0031] With the technological evolution of 5G networks, the Massive MIMO (Massive Multiple-Input Multiple-Output) technology has begun to be introduced. The 5G SSB (Synchronization Signal / PBCH, Synchronization Broadcast Block) beams are covered in a form of sweeping in turns, and a 2.5ms double-period time slot ratio is widely used, with a maximum of 7 beams. 5G networks generally use the 3.5G C-Band frequency band to build networks. According to the 1:1 base station construction ratio with 4G, due to the shortcoming of the propagation characteristics of the frequency band, the coverage ability of 5G networks is only about 1 / 3 of that of 4G at 1.8G.

[0032] Therefore, the problems of weak coverage and overlapping coverage of multiple cells in 5G networks will be more obvious, especially the problem of insufficient in-depth coverage in indoor scenarios will also be more obvious. 5G terminals are also more likely to have problems such as the uplink rate dropping to zero and the mobile phone being unable to access the Internet, seriously affecting the user experience.

[0033] In view of the problems existing in the above related technologies, the present application proposes an interference suppression method for 5G networks, which can achieve interference suppression in the weak coverage overlapping area in 5G networks, improve the network coverage quality, and enhance the user experience.

[0034] Next, with reference to the accompanying drawings, the interference suppression method provided by the embodiments of the present application will be described in detail through some embodiments and their application scenarios.

[0035] In a first aspect, referring to Figure 1 as shown, it is an implementation flowchart of an interference suppression method provided by an embodiment of the present application. The method may include the following steps:

[0036] Step S11: Obtain multiple target cells in a target area.

[0037] Among them, the target area is used to represent a weak coverage overlapping area, and the multiple target cells include: one serving cell and multiple neighboring cells that meet the set conditions. The set conditions can be used to screen out multiple neighboring cells with strong co-frequency interference to the serving cell. The set conditions can be limiting conditions such as the threshold of cell signal strength and the threshold of the distance between neighboring cells.

[0038] As a possible implementation, the cells in the target area are sorted in descending order of the reference signal received power (RSRP), and the top 3 cells are determined as the multiple target cells.

[0039] It can be understood that the weak coverage overlapping area refers to a geographical area where there are problems of weak signal coverage and signal overlapping coverage. In specific implementation, an area covered by the signals of multiple cells and with the coverage signal strength of the serving cell lower than a threshold (such as the edge area between multiple cells) can be used as the target area.

[0040] Step S12: Obtain the initial beam configuration information associated with the multiple target cells.

[0041] Among them, the initial beam configuration information is used to characterize the respective synchronization broadcast block index (SSB Index) values of the multiple target cells measured in the target area.

[0042] In specific implementation, the SSB Index values measured at multiple position points in the target area within a certain time period can be statistically processed and de-duplicated to obtain the SSB Index values of each target cell collected during this time period, and the measured SSB Index value of each target cell is used as the initial beam configuration information associated with each target cell.

[0043] Step S13: Determine the SSB beam associated with the SSB Index value of each target cell according to the initial beam configuration information.

[0044] It can be understood that the synchronization broadcast block (SSB) is a timing concept. Different SSB Index values correspond to SSB beams at different transmission times (i.e., scanning times), and the SSB beams at different transmission times have different antenna beam positions.

[0045] For example, usually, the beam (Beam) ID of different SSB beams is mapped one by one with the SSB Index value. The beam ID is used to characterize the antenna beam position of the beam, and different SSB beams have different beam IDs. The terminal can only directly measure the SSB Index value, and needs to determine the SSB beam corresponding to the SSB Index value according to the mapping relationship between the currently configured SSB Index value and the beam IDs of different SSB beams.

[0046] Step S14: Input the SSB beam associated with the SSB Index value of each target cell and the SSB beam stagger constraint information of each target cell into the interference suppression algorithm function of each target cell to obtain the target starting beam of each target cell.

[0047] Among them, the interference suppression algorithm function is used to characterize the mapping relationship between the target starting beam, the SSB beam associated with the SSB Index value of a single target cell, and the SSB beam stagger constraint information of a single target cell.

[0048] In specific implementation, the SSB beam stagger constraint information is used to characterize the interval information of the SSB beam transmissions between different target cells in the time domain. For example, the SSB beam stagger constraint information of a certain target cell (such as a neighboring cell) can be used to indicate the duration of the delay required compared to the transmission time of the SSB beam of other target cells (such as the serving cell). If the transmission time of the SSB beam of the serving cell is 0 ms, then the SSB beam stagger constraint information of a certain neighboring cell can be used to indicate that the transmission time of the SSB beam of this neighboring cell is 0.75 ms (i.e., the delay duration is 0.75 milliseconds). Then, through the interference suppression algorithm function, two target starting beams that respectively satisfy the SSB beam stagger constraint information of the serving cell and this neighboring cell are determined. Thus, through these two target starting beams, the transmission times of the SSB beams of the serving cell and this neighboring cell can be adjusted, and further, the beam arrival times of the SSB beams of the serving cell covering the target area and the beam arrival times of the SSB beams of the neighboring cell covering the target area are staggered.

[0049] Step S15: According to the target starting beam of each target cell, adjust the mapping relationship between the SSB Index value and the SSB beam of each target cell to obtain the new configuration information of the first beam combination of each target cell.

[0050] In specific implementation, when adjusting the initial starting beam (i.e., the first transmitted SSB beam) of the SSB beam of each target cell to the target starting beam of each target cell, it is necessary to first adjust the mapping relationship between the SSB Index value and the SSB beam of each target cell. For example, establish a mapping relationship between the target starting beam (such as the 4th transmitted SSB beam in the current configuration) and the SSB Index value corresponding to the initial starting beam (the 1st transmitted SSB beam in the current configuration), so that this target starting beam can be transmitted first and correspondingly adjust the mapping relationship between other SSB Index values and other SSB beams. Take the mapping relationship between all the SSB Index values and all the SSB beams of a single target cell after adjustment as the new configuration information of the first beam combination of this target cell.

[0051] Step S16: Based on the new configuration information of the first beam combination of each target cell, perform interference suppression on the serving cell in the target area.

[0052] In specific implementation, by executing the corresponding new configuration information of the first beam combination for each target cell, the time when the SSB beam of the serving cell reaches the target area can be staggered from the time when the SSB beam of the neighboring cell in the target cell reaches the target area, thereby suppressing the co-frequency interference generated by the SSB beam of the neighboring cell in the target area on the SSB beam of the serving cell, and further improving the network coverage quality of the target area.

[0053] Adopting the technical solution of the embodiment of the present application, for a target area with weak signal coverage problems and signal re-coverage problems, using an interference suppression algorithm function and SSB beam staggering constraint information, determine the target starting beam of each target cell, and then adjust the mapping relationship between the SSB Index value and the SSB beam of each target cell according to each target starting beam, so that the SSB beam of the serving cell can be staggered in time domain from the SSB beam in the interfering neighboring cell, realizing physical interference reduction between the SSB beams in the target area, thereby being able to improve the network coverage quality of the target area, and being able to reduce the requirement of the implementation of interference suppression on the network transmission delay, with better applicability.

[0054] Embodiment 1

[0055] This embodiment describes a method for intelligent grid decoupling and conflict optimization, which can decouple multiple weak coverage overlapping areas independently distributed geographically from the area to be optimized, and solves the optimization strategy conflict problem existing when using an interference suppression algorithm to optimize multiple weak coverage overlapping areas.

[0056] The steps of decoupling multiple weak coverage overlapping areas independently distributed geographically from the area to be optimized are as follows:

[0057] (1) Obtain the site information associated with multiple cells in the area to be optimized.

[0058] Among them, the site information may include information such as the identification information of the base station, the identification information of the cells associated with the base station, the longitude and latitude information of the base station, and the azimuth information.

[0059] In specific implementation, a relatively large area or an independent cluster with obvious boundary features geographically can be selected as the area to be optimized, which is conducive to obtaining the globally optimal solution for beam interference suppression; if the area to be optimized is small, it is easy to generate a locally optimal solution for beam interference suppression in a small range. If the UE (User Equipment) has tidal movement, this locally optimal solution cannot be effectively applied to the position of the user after movement. Therefore, for scenarios with user tidal movement, the area to be optimized can include all areas involved in the user's tidal movement to obtain the globally optimal solution.

[0060] (2) Signal measurements are respectively carried out at a plurality of first sampling points in the area to be optimized, and first sample data of each of the plurality of first sampling points are obtained. The first sampling points are used to represent position points in the area to be optimized, and the first sample data are used to represent the coverage signal information of the cell measured at the first sampling points.

[0061] In specific implementation, a periodic measurement task can be configured for the area to be optimized, so that the acquisition terminal regularly measures the coverage signal information of each cell at a plurality of first sampling points in the area to be optimized. The coverage signal information may include information such as the identification information of the cell, the SSB Index value, the RSRP (Reference Signal Receiving Power) information, and the DOA (Direction Of Arrival) information. The coverage signal information of each cell collected at each first sampling point is used as the first sample data of each first sampling point, thereby completing the acquisition of the coverage signal information at different position points in the area to be optimized.

[0062] (3) From the first sample points, first target sample points are selected from the first sample data where the reference signal receiving power RSRP of the serving cell is lower than the weak coverage threshold.

[0063] In specific implementation, the weak coverage threshold is used to select the first target sample points where the coverage signal strength of the serving cell is weak, so as to find the weak coverage area in the area to be optimized. Among them, the weak coverage threshold can be set according to the actual situation, or any value between [-95dBm and -115dBm] can be selected. For example, the weak coverage threshold can be set to -100dBm.

[0064] (4) According to the plurality of site information, the distances of all neighbor cell pairs associated with each first target sample point are determined. The distance of a single neighbor cell pair is used to represent the distance between the serving cell associated with the first target sample point and a single neighbor cell associated with the first target sample point. For each first target sample point, the coverage signal information of the target neighbor cell with the distance of the neighbor cell pair greater than the ultra-far neighbor cell fusing threshold is deleted from the first sample data of the first target sample point to obtain the first target sample data, and the target neighbor cell is deleted from the cells associated with the first target sample point. From the first target sample points, second sample points whose associated number of cells is not less than the set number are selected, and the first target sample data of the second sample points are determined as the second sample data.

[0065] In specific implementation, the ultra-distant neighbor cell fusing threshold is used to eliminate neighbor cells that are at a relatively long distance from the serving cell, ensuring that the remaining neighbor cells all have a strong interference on the serving cell. This ultra-distant neighbor cell fusing threshold can be set according to the actual scenario. For example, the ultra-distant neighbor cell fusing threshold in a dense urban area can be set to 1.5 km, and that in a suburban area can be set to 2 km. It can be understood that the distance between neighbor cell pairs can be determined according to the longitude and latitude information of the base stations in the site information.

[0066] The above set number can be set to 3, that is, from the first target sample points, the second sample points whose associated cell number is not less than 3 are selected to ensure that each second sample point is covered by the signals of at least three cells (i.e., 1 serving cell and at least 2 strongly interfering co-frequency neighbor cells), so as to find the overlapping coverage area in the area to be optimized.

[0067] (5) Cluster the second sample points according to the second sample data associated with each of the second sample points, and select, from the clustered second sample points, the target clusters whose sample point number is not less than the sampling rate threshold; determine the second sample points in the target clusters as the third sample points.

[0068] In specific implementation, the second sample points can be clustered using the Kmeans algorithm. The sampling rate threshold can be set to 100, so that the sample point number in each selected target cluster is not less than 100, thereby enabling denoising of the clustered second sample points (i.e., removing isolated second sample points).

[0069] (6) Determine the position area of each target cluster in the area to be optimized according to the geographical location of the third sample points in the area to be optimized.

[0070] In specific implementation, according to the positions of the third sample points in the target clusters, each target cluster can be projected onto the two-dimensional plane where the area to be optimized is located to obtain the corresponding position areas (i.e., grids) of each target cluster. As Figure 2 shown, one grid represents an independent weak coverage overlapping area. It can be understood that the size of the grid can be adjusted through the weak coverage threshold and the configuration value of the Kmeans algorithm.

[0071] After decoupling multiple geographically independently distributed position areas from the area to be optimized, any one of the position areas can be determined as the target area, and the above steps S11 to S16 are performed on this target area for interference suppression. After obtaining the new configuration information of the first beam combination of each target cell in the target area, other position areas can be sequentially used as the target area, and the above steps S11 to S16 are performed for interference suppression.

[0072] To avoid conflicts in optimization strategies caused by different new configuration information of the first beam combination for the same cell among different location areas, after obtaining the new configuration information of the first beam combination for each target cell in the target area, the following steps are performed:

[0073] (1) Determine the new configuration information of the first beam combination for the same target cells in other location areas except the target area in the area to be optimized, based on the new configuration information of the first beam combination for multiple target cells in the target area;

[0074] (2) Determine the new configuration information of the first beam combination for all target cells in each of the other location areas, according to the new configuration information of the first beam combination for the same target cells;

[0075] (3) Based on the new configuration information of the first beam combination for all target cells in each of the other location areas, perform interference suppression on serving cells in the other location areas.

[0076] It can be understood that due to reasons such as unreasonable site planning or azimuth adjustment, there will be a certain correlation between some grids, manifested as two or more grids occupying the same cell signal. During parallel calculation, there may be two optimization values for the same cell (that is, two new configuration information of the first beam combination are determined for the same target cell), thus resulting in conflicts.

[0077] As Figure 2 shown, grids 6 to 9 are weak coverage overlapping areas that occupy the same cell signal, that is, grids 6 to 9 are correlated. At this time, for correlated grids, serial calculation can be performed according to the set grid numbers. For the same cell that appears in multiple grids (that is, the target cells to be optimized are the same), based on the optimization result of the first grid (that is, the adjusted new configuration information of the first beam combination for this target cell), the subsequent optimization results related to this cell are directly inherited. For example, there is a common cell A in grids 6 and 7. When the optimization of grid 6 is completed, the mapping relationship between the SSB beam of cell A and the SSB Index value is adjusted. Then, when optimizing grid 7, if the optimization of cell A is involved, the mapping relationship between the SSB beam of cell A and the SSB Index value will not be adjusted again, but the mapping relationship between the SSB beam and the SSB Index value of the remaining 2 cells in grid 7 will be correspondingly adjusted according to the adjusted mapping relationship between the SSB beam of cell A and the SSB Index value in grid 6. It can be understood that for uncorrelated grids, such as Figure 2 shown, grids 1 to 5, the above steps S11 to S16 can be executed in parallel for interference suppression.

[0078] Embodiment 2

[0079] This embodiment describes a physical interference reduction method based on an interference suppression algorithm function, which can effectively reduce the co-frequency interference between SSB beams and CSI-RS beams.

[0080] First, according to the beam degeneracy algorithm, calculate the equivalent SSB Index value of the target cell, and the steps are as follows:

[0081] Determine the weight ratio of each SSB Index value of each target cell according to the initial beam configuration information;

[0082] Determine the equivalent SSB Index value of each target cell according to each SSB Index value of each target cell and the weight ratio of each SSB Index value;

[0083] Determine the SSB beam mapped by the equivalent SSB Index value of each target cell as the SSB beam associated with the SSB Index value of each target cell.

[0084] In specific implementation, since the positions of each measurement point in the target area are different, the initial beam configuration information will include multiple SSB Index values corresponding to each measured cell, and a single cell will also involve multiple measured SSB Index values. Therefore, it is necessary to degenerate and average the multiple SSB Index values in a single cell to calculate an equivalent SSB Index value, so that a target cell can be associated with only one SSB Index value (i.e., the equivalent SSB Index value).

[0085] For example, there are 3 SSB Index index values related to Cell A in the target area, and their weight ratios are W xa 、W ya and W za , then the equivalent SSB Index value of Cell A can be calculated by the following formula:

[0086] CellA_SSB_Index equiv =SSB_Index xa *W xa +SSB_Index ya *W ya +SSB_Index za *W za

[0087] where, CellA_SSB_Index equiv represents the equivalent SSB Index index value of Cell A, SSB_Index xa 、SSB_Indexya 、SSB_Index za respectively represent the 3 SSB Index index values, and W xa 、W ya 、W za respectively represent the weight ratios of the 3 SSBIndex index values respectively.

[0088] As a possible implementation, according to the initial beam configuration information, the quantity ratio between the number of measurement points corresponding to each SSB Index value of the target cell and the number of measurement points corresponding to all SSB Index values of the target cell can be determined, where the measurement points are used to characterize the position points where the corresponding SSB Index values are measured; according to the quantity ratio corresponding to each SSB Index value of the target cell, the weight ratio of each SSB Index value can be determined.

[0089] In this embodiment, determining the weight ratio of the SSB Index value according to the quantity ratio corresponding to the SSB Index value enables the equivalent SSB Index value to be closer to the SSB Index value that is measured the most times in the same target cell. It can be understood that in the case where the site planning is very ideal, the number of measurement points corresponding to the SSB Index values measured in the same target cell is basically the same, and the weight ratios corresponding to the measured SSB Index values, taking SSB Index 2, 3, and 4 with the same weight ratio in cell S1 as an example, the equivalent SSB Index value of cell S1 is 3 at this time.

[0090] After determining the SSB beam mapped by the equivalent SSB Index value of the target cell as the SSB beam associated with the SSB Index value of the target cell, according to the differences in the SSB beam staggering constraint information, the above physical scrambling method can be divided into the following two cases.

[0091] Case 1:

[0092] In the case where the SSB beam staggering constraint information of the target cell is the set number of antenna beam intervals of the target cell, determine the interference suppression algorithm function according to the first mapping relationship;

[0093] Among them, the first mapping relationship is the mapping relationship between the beam ID of the target starting beam, the beam ID of the SSB beam associated with the SSBIndex value of a single target cell, and the set number of antenna beam intervals of a single target cell;

[0094] After determining the interference suppression algorithm function, obtain the set number of antenna beam intervals of the target cell; input the beam ID of the SSB beam associated with the SSB Index value of the target cell and the set number of antenna beam intervals of the target cell into the interference suppression algorithm function of the target cell to obtain the beam ID of the target starting beam of the target cell.

[0095] It can be understood that since the SSB broadcast beam period is 20 ms, it is only necessary to consider maximizing the time-domain staggering of the arrival times of the SSB beams corresponding to the equivalent SSB Index values of each target cell in the target area. The beam ID is used to indicate the antenna beam position.

[0096] Taking the target area including 3 target cells, namely Cell A, Cell B, and Cell C, as an example, each target cell has 7 SSB beams that need to be adjusted. Then, the beam intervals between the SSB beams associated with the SSB Index values of the 3 target cells and their respective target starting beams can be set to be fixed staggered by 0, 3, and 6 (that is, the set number of antenna beam intervals of the 3 target cells is 0, 3, and 6). At this time, the interference suppression algorithm functions of the 3 target cells can be expressed as:

[0097] CellA_SSB_Index equiv -Beam_ID i =0

[0098] CellB_SSB_Index equiv -Beam_ID j =3

[0099] CellC_SSB_Index equiv -Beam_ID k =6

[0100] Among them, Beam_ID i 、Beam_ID j 、Beam_ID k represent the beam IDs of the target starting beams of the 3 target cells (i.e., Cell A, Cell B, and Cell C), CellA_SSB_Index equiv 、CellB_SSB_Index equiv 、CellC_SSB_Index equiv represent the beam IDs of the SSB beams corresponding to the equivalent SSB Index values of the 3 target cells, and 0, 3, and 6 represent the set number of antenna beam intervals of the 3 target cells.

[0101] Case 2:

[0102] When the SSB beam stagger constraint information of the target cell is the set antenna beam time interval of the target cell, determine the interference suppression algorithm function according to the second mapping relationship;

[0103] Wherein, the second mapping relationship is the mapping relationship between the beam scanning time of the target starting beam, the beam arrival time of the SSB beam associated with the SSB Index value of a single target cell, and the set antenna beam time interval of a single target cell;

[0104] Obtain the set antenna beam time interval of the target cell and the beam arrival time of the SSB beam associated with the SSB Index value of the target cell;

[0105] Input the beam arrival time of the SSB beam associated with the SSB Index value of the target cell and the set antenna beam time interval of the target cell into the interference suppression algorithm function of the target cell to obtain the beam scanning time of the target starting beam of the target cell;

[0106] Determine the beam ID of the target starting beam according to the time domain stagger gain table, the beam ID of the initial starting beam of the target cell, and the beam scanning time of the target starting beam. The time domain stagger gain table is used to characterize the target mapping relationship associated with the beam IDs of different starting beams. The target mapping relationship is the mapping relationship between the beam IDs of all SSB beams of a single target cell and the beam scanning time.

[0107] In this embodiment, taking the target area including 3 target cells, namely Cell A, Cell B, and Cell C, as an example, the time interval between every two SSB beams is about 0.25 ms, and each target cell has 7 SSB beams that need to be adjusted. Then, the set antenna beam time intervals of these 3 target cells can be set to 0.00 ms, 0.75 ms, and 1.50 ms respectively. At this time, the interference suppression algorithm functions of the 3 target cells can be expressed as:

[0108] T_CellA_SSB_Index equiv -T_Beam_ID i =0.00

[0109] T_CellB_SSB_Index equiv -T_Beam_ID j =0.75

[0110] T_CellC_SSB_Index equiv -T_Beam_ID k =1.50

[0111] Among them, T_Beam_ID i 、T_Beam_ID j 、T_Beam_ID k represent the beam scanning times of the target starting beams of 3 target cells (i.e., cells A, B, and C), T_CellA_SSB_Index equiv 、T_CellB_SSB_Index equiv 、T_CellC_SSB_Index equiv represent the beam arrival times of the SSB beams corresponding to the equivalent SSB Index values of 3 target cells, and 0.00, 0.75, 1.50 represent the set antenna beam time intervals of 3 target cells.

[0112] As a possible implementation manner, the time domain staggering gain table is obtained through the following steps:

[0113] Determine the beam IDs of all SSB beams in a single said target cell as the beam IDs of the starting beams respectively;

[0114] Determine the target mapping relationship associated with the beam ID of each said starting beam through a target formula;

[0115] Determine the time domain staggering gain table according to the beam ID of each said starting beam and the target mapping relationship associated with the beam ID of each said starting beam;

[0116] The target formula is:

[0117] T_Beam i = T * (i - Init), i ≥ Init

[0118] T_Beam i = T * [(i + N) - Init], i < Init

[0119] Among them, T_Beam i represents the beam scanning time of the SSB beam with beam ID i, Init represents the beam ID of the starting beam, T represents the beam scanning time interval, and N represents the number of all SSB beams in a single said target cell.

[0120] Exemplarily, the Beam ID is the antenna beam position identifier, which is usually arranged in a counterclockwise direction. The beam scanning order is usually that the Beam ID ranges from 0 to 6 (Beam 7 is disabled), that is, the above-mentioned i, Init ∈ [0, 6], and all SSB beams N = 7 in a single target cell. Each SSB has a unique number (SSB Index). SSB is a timing concept. Different SSB beams are sent at different SSBIndex moments. There is a mapping relationship between Beam ID and SSB Index. The signal measured by the terminal is the SSBIndex, not the Beam ID. The 3GPP protocol stipulates that the beam rotation period of SSB is defaulted to 20 ms, and the base station completes the 8-beam rotation of the maximum SSB0 to SSB7 in the first 2 ms (time slots slot0 to slot3) of each SSB period. That is to say, according to the 3GPP protocol, it is required to complete a round of SSB multi-beam scanning within 5 ms (in the case of the 2.5 ms double-period time slot ratio of the electric connection, there are at most 7 beams, that is, a scan can be completed within 1.50 ms). Then the time interval between every two beams is about 0.25 ms, that is, the beam scanning time interval T = 0.25. The determined time-domain stagger gain table is shown in Table 1 below:

[0121]

[0122]

[0123] Table 1

[0124] Embodiment 3

[0125] This embodiment describes the situation of suppressing interference to the serving cell in the target area with the first beam combination new configuration information, including the following steps:

[0126] Execute the first beam combination new configuration information of each target cell to suppress interference to the SSB beams of the serving cell in the target area;

[0127] Obtain the target channel state information reference signal CSI-RS beam matched by the target starting beam of each target cell;

[0128] Determine the target CSI-RS beam of each target cell as the target starting beam of the CSI-RS beam of each target cell;

[0129] According to the target starting beam of the CSI-RS beam of each target cell, adjust the mapping relationship between the CSI-RS beam bit map and the CSI-RS beam of each target cell to obtain the second beam combination new configuration information of each target cell;

[0130] Execute the second beam combination new configuration information of each of the target cells to suppress interference to the CSI-RS beams of the serving cells in the target area.

[0131] It can be understood that CSI (Channel State Information) is used to notify the base station of the downlink quality to assist the base station in downlink scheduling, and specifically involves information measurement and reporting of information such as CQI (Channel Quality Indication), PMI (Precoding Matrix Indicator), and RI (Rank Indicator). After suppressing interference to the SSB beams, a set of CSI beams closest to the coverage area of the SSB beams of each target cell can be found for matching, binding, and linkage. By modifying the mapping relationship of the CSI-RS beam bitmap (csiRsBeamBitMap), the CSI beams of different cells after linkage are staggered by one beam each. The four scanning stagger modes of the CSI beams are as follows:

[0132] a. CSI ID: 0 → 1 → 2 → 3 (configure csiRsBeamBitMap: 9, 10, 11, 12, 0, 0, 0, 0)

[0133] b. CSI ID: 1 → 2 → 3 → 0 (configure csiRsBeamBitMap: 10, 11, 12, 9, 0, 0, 0, 0)

[0134] c. CSI ID: 2 → 3 → 0 → 1 (configure csiRsBeamBitMap: 11, 12, 9, 10, 0, 0, 0, 0)

[0135] d. CSI ID: 3 → 0 → 1 → 2 (configure csiRsBeamBitMap: 11, 12, 9, 10, 0, 0, 0, 0)

[0136] Among them, for each of the target cells, the first beam combination new configuration information is determined through the following steps:

[0137] Determine the mapping mode matched by the target starting beam of the target cell from the beam mapping mode table, where the beam mapping mode table is used to represent the matching relationship between different starting beams and mapping modes;

[0138] According to the mapping mode, determine the first beam combination new configuration information, where the mapping mode is used to represent the one-to-one mapping relationship between each SSB beam associated with the target starting beam and each SSB Index value.

[0139] As shown Figure 3 in the figure is a schematic diagram of the matching relationship between different starting beams and mapping modes. It can be understood that the 5G antenna beam Beam ID and SSB Index values are default in a 1:1 mapping relationship, that is, the values of Beam ID and SSB Index associated with the same SSB beam are the same (i.e., Figure 3 the mode 0 shown), and the interference suppression algorithm function of this application is also constructed based on mode 0.

[0140] According to the 3GPP protocol regulations, SSB Index is a timing concept and can only be sent in the order of SSB Index 0 to 6. If the starting positions of beam Beam ID 0 to 6 need to be changed, the relationship between Beam ID and SSB Index needs to be remapped (i.e., adjusted from mode 0 to Figure 3 the modes 1 to 6 shown).

[0141] Exemplarily, assume that the equivalent SSB index values of 3 target cells in the target area are 2, 4, and 5 (when the default configuration is mode 0, for beam IDs 2, 4, and 5), and the solved beam IDs of the target starting beams are 2, 1, and 6. Then the remapping relationship matching mode 2 for the first cell (Beam ID2 is mapped to the position of SSB Index 0 as the starting beam), the remapping relationship matching mode 1 for the second cell (Beam ID 1 is mapped to the position of SSB Index 0 as the starting beam), and the remapping relationship matching mode 6 for the third cell (Beam ID 6 is mapped to the position of SSB Index 0 as the starting beam).

[0142] As a possible implementation, using the SSB beam and CSI-RS beam after interference suppression, obtain the service channel quality information associated with any terminal in the target area;

[0143] Based on the service channel quality information, adopt a joint anti-interference suppression technology to perform interference suppression on the service transmission channel of the terminal. The joint anti-interference suppression technology includes: downlink CS (Co-Scheduling) interference suppression algorithm and / or uplink JR (Joint Reception) interference suppression algorithm.

[0144] It can be understood that the above beam time-domain dynamic staggering technology (i.e., physical interference reduction) is mainly used to reduce the interference between SSB beams and between CSI beams, and can respectively enhance the 5G coverage quality and the accurate measurement and reporting of information such as CQI / PMI / RI, which is beneficial to improving the quality of the service data channel established for the terminal.

[0145] In specific implementation, to further reduce the scheduling collision and interference between the data in the serving cell and the cooperating cell in the PDSCH (Physical Downlink Shared Channel), this embodiment adopts the CS cooperative scheduling technology in downlink resource scheduling. For the CS UE in the overlapping area, by identifying the top 2 neighboring cells with the strongest interference intensity (i.e., the two strongest neighboring cells), the frequency domain position of the RB on the service channel allocated to this neighboring cell is adjusted in real time, so that it is offset by 1 / 3 of the frequency domain position from the RB position scheduled by the CS UE in the serving cell, forming a data channel scheduling similar to that of different frequencies, thereby reducing the interference on the service channels between the CS UE in the serving cell and the neighboring cells, improving the rate of the CS UE, and enhancing the user perception.

[0146] From the perspective of the UE, the CS cooperative scheduling can be described by the following formula:

[0147]

[0148]

[0149] Among them, Y_UEpre: the total signal strength received by the terminal UE before CS cooperative scheduling; Y_UEpost: the total signal strength received by the terminal UE after CS cooperative scheduling; HScell: the channel of the CS UE in the serving cell; WScell: the PDSCH weight of the CS UE in the serving cell; XScell: the service data of the CS UE in the serving cell; The channel of the user with the strongest neighboring cell number i; The PDSCH weight of the user with the strongest neighboring cell number i; The service data of the user with the strongest neighboring cell i; The channel of the user with the other neighboring cell number j; The user weight of the other neighboring cell number j; The service data of the user with the other neighboring cell number j; Noise: the noise received by the UE; N: the number of neighboring cells.

[0150] It can be seen from the above formula that the UE after CS cooperative scheduling eliminates the signal interference of the term.

[0151] Exemplarily, the downlink CS cooperative scheduling signaling process is as follows:

[0152] a. Process 1: Configure the dedicated A3 event for CS cooperative scheduling for the UE, with a recommended value of [-10, -3] dBm;

[0153] b. Process 2: After meeting the A3 threshold, the UE reports the MR (Measurement Report).

[0154] c. Process 3: The serving cell selects a cooperating cell based on the MR measurement report and the load of neighboring cells;

[0155] d. Process 4: The serving cell sends the scheduling information of the CS UE to the cooperating cell in real time via the Xn link;

[0156] e. Process 5: The cooperating cell adjusts the time-frequency position of its own RB (Resource Block) according to the received cooperation information to reduce the interference to the CS UE.

[0157] For the uplink JR joint reception interference suppression algorithm, since the UEs performing JR are generally in the overlapping area, the serving cell and the neighboring cell respectively receive the PUSCH of the UE, and the cooperating cell transmits the decoded soft information to the serving cell via Xc interaction and combines it with the soft information of the serving cell after weighting, so as to obtain the receive diversity gain and power gain and improve the user perception.

[0158] Exemplarily, the uplink JR joint reception signaling process is as follows:

[0159] a. Process 1: Configure a dedicated A3 event for the UE, and it is recommended that the value be between [-10, -3] dBm and the same as the downlink CS co-scheduling threshold;

[0160] b. Process 2: When the A3 threshold is met, the UE reports the MR measurement report;

[0161] c. Process 3: The serving cell notifies the neighboring cell to measure the SRS of the JR UE;

[0162] d. Process 4: Determine whether the neighboring cell can be used as a cooperating cell by comparing the SRS measurement values of the neighboring cell and the serving cell and information such as the load of the neighboring cell;

[0163] e. Process 5: The serving cell sends the demodulation information of the JR UE to the cooperating cell;

[0164] f. Process 6: The serving cell and the cooperating cell simultaneously receive the PUSCH of the JR UE;

[0165] g. Process 7: The cooperating cell transmits the decoded soft information to the serving cell;

[0166] h. Process 8: The serving cell combines, weights the soft information of the cooperating cell and the serving cell to improve the uplink demodulation performance.

[0167] Among them, for the uplink soft bit combination technology (i.e., soft information combination) involved in the uplink JR joint reception signaling process, it can be implemented in the following ways:

[0168] a. The serving cell receives the uplink data of the JR UE on the uplink, independently removes the CP (Cyclic Prefix), performs FFT (Fast Fourier Transform), and then performs channel estimation and equalization;

[0169] b. The cooperating cell, as a co-frequency neighbor cell, synchronizes with the serving cell to perform uplink data on the CS UE, independently removes the CP, performs FFT, and then performs channel estimation and equalization;

[0170] c. The cooperating cell transfers the uplink equalized data of the JR UE to the serving cell, and the serving cell performs soft bit information merging uniformly;

[0171] d. The merged data is demodulated, rate-matched, and decoded in a normal manner.

[0172] It should be noted that this application is based on dynamic spatio-temporal traffic data collection, and uses various threshold gates and AI clustering algorithms to locate and delimit weak coverage overlapping areas. Through the combined interference suppression algorithms such as downlink CS cooperative scheduling and uplink joint reception, the 5G duplex bandwidth is enhanced in multiple dimensions to improve user perception. And a variety of joint interference suppression technologies are proposed, which can be applied to high, medium, and low load networks. It is reflected that in medium and low load networks, a variety of suppression technologies are jointly used to improve the interference suppression effect. In high load networks, the suppression technology of physical beam staggering has the greatest applicability; the interference suppression method provided by this application has no restrictions on the service types of user terminals UE (beam time domain staggering is a physical interference reduction method and is not bound to other functions), so the applicable service scope of user terminals UE is wider.

[0173] For the method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the embodiments of this application are not limited by the described action sequences, because according to the embodiments of this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily essential to the embodiments of this application.

[0174] In a second aspect, Figure 4 is a schematic structural diagram of an interference suppression device according to an embodiment of this application. The device includes:

[0175] A first acquisition module, configured to acquire a plurality of target cells in a target area, where the target area is used to represent a weak coverage overlapping area, and the plurality of target cells include: a serving cell and a plurality of neighboring cells that meet set conditions;

[0176] A second acquisition module, configured to acquire initial beam configuration information associated with multiple target cells, where the initial beam configuration information is used to characterize the synchronization signal block index (SSB Index) values of the multiple target cells measured in the target area;

[0177] A first processing module, configured to determine, according to the initial beam configuration information, the SSB beams associated with the SSB Index values of each target cell;

[0178] A second processing module, configured to input the SSB beams associated with the SSB Index values of each target cell and the SSB beam staggering constraint information of each target cell into the interference suppression algorithm function of each target cell, to obtain the target starting beam of each target cell, where the interference suppression algorithm function is used to characterize the mapping relationship between the target starting beam, the SSB beam associated with the SSB Index value of a single target cell, and the SSB beam staggering constraint information of a single target cell;

[0179] A third processing module, configured to adjust the mapping relationship between the SSB Index value and the SSB beam of each target cell according to the target starting beam of each target cell, to obtain the new configuration information of the first beam combination of each target cell;

[0180] A fourth processing module, configured to perform interference suppression on the serving cells in the target area based on the new configuration information of the first beam combination of each target cell.

[0181] By adopting the technical solution of the embodiment of the present application, for a target area (i.e., a weak coverage overlapping area) with weak signal coverage problems and signal re-coverage problems, the interference suppression algorithm function and the SSB beam staggering constraint information are used to determine the target starting beam of each target cell, and then according to each target starting beam, the mapping relationship between the SSB Index value and the SSB beam of each target cell is adjusted, so that the SSB beams of the serving cells can be staggered in time domain with the SSB beams in the interfering neighboring cells, realizing physical interference reduction between the SSB beams in the target area, thereby being able to improve the network coverage quality of the target area, and being able to reduce the requirement of network transmission delay for the implementation of interference suppression, with better applicability.

[0182] Optionally, the device further includes:

[0183] The first function establishment module is used to determine the interference suppression algorithm function according to the first mapping relationship for each of the target cells when the SSB beam stagger constraint information of the target cell is the set number of antenna beam intervals of the target cell; wherein, the first mapping relationship is the mapping relationship among the beam ID of the target starting beam, the beam ID of the SSB beam associated with the SSB Index value of a single target cell, and the set number of antenna beam intervals of a single target cell.

[0184] The second processing module includes:

[0185] The first processing sub-module is used to obtain the set number of antenna beam intervals of each target cell; input the beam ID of the SSB beam associated with the SSB Index value of the target cell and the set number of antenna beam intervals of the target cell into the interference suppression algorithm function of the target cell to obtain the beam ID of the target starting beam of the target cell.

[0186] Optionally, the device further includes:

[0187] The second function establishment module is used to determine the interference suppression algorithm function according to the second mapping relationship for each of the target cells when the SSB beam stagger constraint information of the target cell is the set antenna beam time interval of the target cell; wherein, the second mapping relationship is the mapping relationship among the beam scanning time of the target starting beam, the beam arrival time of the SSB beam associated with the SSB Index value of a single target cell, and the set antenna beam time interval of a single target cell.

[0188] The second processing module further includes:

[0189] The second processing sub-module is used to obtain the set antenna beam time interval of each target cell and the beam arrival time of the SSB beam associated with the SSB Index value of the target cell; input the beam arrival time of the SSB beam associated with the SSB Index value of the target cell and the set antenna beam time interval of the target cell into the interference suppression algorithm function of the target cell to obtain the beam scanning time of the target starting beam of the target cell; determine the beam ID of the target starting beam according to the time domain stagger gain table, the beam ID of the initial starting beam of the target cell, and the beam scanning time of the target starting beam, where the time domain stagger gain table is used to characterize the target mapping relationship associated with the beam IDs of different starting beams, and the target mapping relationship is the mapping relationship between the beam IDs of all SSB beams of a single target cell and the beam scanning time.

[0190] Optionally, the apparatus further includes:

[0191] A fifth processing module, configured to respectively determine the beam IDs of all SSB beams in a single target cell as the beam ID of the starting beam; determine a target mapping relationship associated with the beam ID of each starting beam through a target formula; determine the time-domain staggering gain table according to the beam ID of each starting beam and the target mapping relationship associated with the beam ID of each starting beam; the target formula is:

[0192] T_Beam i = T * (i - Init), i ≥ Init

[0193] T_Beam i = T * [(i + N) - Init], i < Init

[0194] Wherein, T_Beam i represents the beam scanning time of the SSB beam with beam ID i, Init represents the beam ID of the starting beam, T represents the beam scanning time interval, and N represents the number of all SSB beams in a single target cell.

[0195] Optionally, the fourth processing module includes:

[0196] An interference suppression module, configured to execute the first beam combination new configuration information of each target cell to perform interference suppression on the SSB beams of the serving cell in the target area; obtain the target channel state information reference signal CSI-RS beam matched by the target starting beam of each target cell; determine the target CSI-RS beam of each target cell as the target starting beam of the CSI-RS beam of each target cell; adjust the mapping relationship between the CSI-RS beam bitmap and the CSI-RS beam of each target cell according to the target starting beam of the CSI-RS beam of each target cell to obtain the second beam combination new configuration information of each target cell; execute the second beam combination new configuration information of each target cell to perform interference suppression on the CSI-RS beams of the serving cell in the target area.

[0197] Optionally, the apparatus further includes:

[0198] A sixth processing module, configured to obtain service channel quality information associated with any terminal in the target area by using the SSB beam and CSI-RS beam after interference suppression; based on the service channel quality information, adopt a joint anti-interference suppression technology to perform interference suppression on the service transmission channel of the terminal, where the joint anti-interference suppression technology includes: a downlink cooperative scheduling interference suppression algorithm and / or an uplink joint reception interference suppression algorithm.

[0199] Optionally, the first processing module includes:

[0200] A third processing sub-module, configured to determine the weight ratio of each SSB Index value of each target cell according to the initial beam configuration information; determine the equivalent SSB Index value of each target cell according to each SSB Index value of each target cell and the weight ratio of each SSB Index value; determine the SSB beam associated with the SSB Index value of each target cell as the SSB beam mapped by the equivalent SSB Index value of each target cell.

[0201] Optionally, the first processing module further includes:

[0202] A fourth processing sub-module, configured to, for each target cell, determine the quantity ratio between the number of measurement points corresponding to each SSB Index value of the target cell and the number of measurement points corresponding to all SSB Index values of the target cell according to the initial beam configuration information, where the measurement points are used to represent the position points where the corresponding SSB Index values are measured; determine the weight ratio of each SSB Index value according to the quantity ratio corresponding to each SSB Index value of the target cell.

[0203] Optionally, the third processing module includes:

[0204] A fifth processing sub-module, configured to, for each target cell, determine the mapping mode matched by the target starting beam of the target cell from a beam mapping mode table, where the beam mapping mode table is used to represent the matching relationship between different starting beams and mapping modes; determine the new configuration information of the first beam combination according to the mapping mode, where the mapping mode is used to represent the one-to-one mapping relationship between each SSB beam associated with the target starting beam and each SSB Index value.

[0205] Optionally, before obtaining multiple target cells in the target area, the device further includes:

[0206] The seventh processing module is configured to obtain site information associated with multiple cells in the area to be optimized; perform signal measurements at multiple first sampling points in the area to be optimized to obtain first sample data of each of the multiple first sampling points, where the first sampling points are used to represent position points in the area to be optimized, and the first sample data is used to represent the coverage signal information of the cells measured at the first sampling points; screen out first target sample points from the first sample points where the reference signal received power (RSRP) of the serving cell in the first sample data is lower than the weak coverage threshold; determine the distances of all neighbor cell pairs associated with each first target sample point according to the multiple site information, where the distance of a single neighbor cell pair is used to represent the distance between the serving cell associated with the first target sample point and a single neighbor cell associated with the first target sample point; for each first target sample point, delete the coverage signal information of the target neighbor cell whose distance of the neighbor cell pair is greater than the ultra-distant neighbor cell fusing threshold from the first sample data of the first target sample point to obtain first target sample data, and delete the target neighbor cell from the cells associated with the first target sample point; screen out second sample points from the first target sample points where the number of associated cells is not less than a set number, and determine the first target sample data of the second sample points as second sample data; cluster the second sample points according to the second sample data associated with each second sample point, and screen out target clusters from the clustered second sample points where the number of sample points is not less than the sampling rate threshold; determine the second sample points in the target clusters as third sample points; determine the position areas of each target cluster in the area to be optimized according to the geographical positions of the third sample points in the optimization area; and determine any one of the position areas in the area to be optimized as the target area.

[0207] Optionally, the apparatus further includes:

[0208] The eighth processing module is configured to determine the first beam combination new configuration information of multiple target cells in the target area as the first beam combination new configuration information of the same target cells in other position areas except the target area in the area to be optimized; determine the first beam combination new configuration information of all target cells in each of the other position areas according to the first beam combination new configuration information of the same target cells; and perform interference suppression on the serving cells in the other position areas based on the first beam combination new configuration information of all target cells in each of the other position areas.

[0209] Optionally, the first obtaining module includes:

[0210] The first acquisition sub-module is configured to sort the cells in the target area according to the reference signal receiving power (RSRP) from high to low, and determine the top 3 cells as multiple target cells.

[0211] It should be noted that the device embodiments are similar to the method embodiments, so the description is relatively simple. For related parts, please refer to the method embodiments.

[0212] An embodiment of the present application further provides an electronic device. Refer to Figure 5 , Figure 5 is a schematic diagram of the electronic device proposed in the embodiment of the present application. As Figure 5 shown, the electronic device 100 includes: a memory 110 and a processor 120. The memory 110 and the processor 120 are communicatively connected via a bus. A computer program is stored in the memory 110, and the computer program can run on the processor 120, thereby implementing the steps in the interference suppression method disclosed in the embodiment of the present application.

[0213] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program / instructions are stored. When the computer program / instructions are executed by a processor, the interference suppression method as disclosed in the embodiment of the present application is implemented.

[0214] An embodiment of the present application further provides a computer program product, including a computer program / instructions. When the computer program / instructions are executed by a processor, the interference suppression method as disclosed in the embodiment of the present application is implemented.

[0215] Each embodiment in this specification is described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other.

[0216] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a device, or a computer program product. Therefore, the embodiments of the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0217] Embodiments of the present application are described with reference to the flowcharts and / or block diagrams of methods, systems, devices, storage media, and program products according to embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing terminal devices generate means for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0218] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0219] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, such that a series of operation steps are executed on the computer or other programmable terminal device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable terminal device provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0220] Although the preferred embodiments of the embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present application.

[0221] Finally, it should also be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or terminal device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or terminal device comprising the said element.

[0222] The above has introduced in detail an interference suppression method, apparatus, device, medium and product provided by the present application. Specific examples are used in this text to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. An interference suppression method, characterized in that, it includes: Obtain multiple target cells in a target area, where the target area is used to represent a weak coverage overlapping area, and the multiple target cells include: one serving cell and multiple neighboring cells that meet the set conditions; Obtain the initial beam configuration information associated with the multiple target cells, where the initial beam configuration information is used to represent the synchronization broadcast block index (SSB Index) values of the multiple target cells measured in the target area; According to the initial beam configuration information, determine the SSB beam associated with the SSB Index value of each target cell; Input the SSB beam associated with the SSB Index value of each target cell and the SSB beam stagger constraint information of each target cell into the interference suppression algorithm function of each target cell to obtain the target starting beam of each target cell, where the interference suppression algorithm function is used to represent the mapping relationship between the target starting beam, the SSB beam associated with the SSB Index value of a single target cell, and the SSB beam stagger constraint information of a single target cell; According to the target starting beam of each target cell, adjust the mapping relationship between the SSB Index value and the SSB beam of each target cell to obtain the new configuration information of the first beam combination of each target cell; Based on the new configuration information of the first beam combination of each target cell, perform interference suppression on the serving cell in the target area.

2. The method according to claim 1, characterized in that, For each target cell, the interference suppression algorithm function is determined through the following steps: When the SSB beam stagger constraint information of the target cell is the set number of antenna beam intervals of the target cell, determine the interference suppression algorithm function according to the first mapping relationship; wherein, the first mapping relationship is the mapping relationship between the beam ID of the target starting beam, the beam ID of the SSB beam associated with the SSBIndex value of a single target cell, and the set number of antenna beam intervals of a single target cell; For each target cell, the target starting beam of the target cell is determined through the following steps: Obtain the set number of antenna beam intervals of the target cell; Input the beam ID of the SSB beam associated with the SSB Index value of the target cell and the set number of antenna beam intervals of the target cell into the interference suppression algorithm function of the target cell to obtain the beam ID of the target starting beam of the target cell.

3. The method according to claim 1, characterized in that, For each target cell, the interference suppression algorithm function is determined through the following steps: When the SSB beam stagger constraint information of the target cell is the set antenna beam time interval of the target cell, determine the interference suppression algorithm function according to the second mapping relationship; Among them, the second mapping relationship is the mapping relationship between the beam scanning time of the target starting beam, the beam arrival time of the SSB beam associated with the SSB Index value of a single target cell, and the set antenna beam time interval of a single target cell; For each of the target cells, the target starting beam of the target cell is determined through the following steps: Obtain the set antenna beam time interval of the target cell and the beam arrival time of the SSB beam associated with the SSB Index value of the target cell; Input the beam arrival time of the SSB beam associated with the SSB Index value of the target cell and the set antenna beam time interval of the target cell into the interference suppression algorithm function of the target cell to obtain the beam scanning time of the target starting beam of the target cell; Determine the beam ID of the target starting beam according to the time domain stagger gain table, the beam ID of the initial starting beam of the target cell, and the beam scanning time of the target starting beam. The time domain stagger gain table is used to represent the target mapping relationship associated with the beam IDs of different starting beams. The target mapping relationship is the mapping relationship between the beam IDs of all SSB beams of a single target cell and the beam scanning time.

4. According to the method described in claim 3, It is characterized in that, The time domain stagger gain table is obtained through the following steps: Respectively determine the beam IDs of all SSB beams in a single target cell as the beam IDs of the starting beams; Determine the target mapping relationship associated with the beam ID of each starting beam through the target formula; Determine the time domain stagger gain table according to the beam ID of each starting beam and the target mapping relationship associated with the beam ID of each starting beam; The target formula is: T_Beam i = T * (i - Init), i ≥ Init T_Beam i = T * [(i + N) - Init], where i < Init Among them, T_Beam i represents the beam scanning time of the SSB beam with beam ID i, Init represents the beam ID of the starting beam, T represents the beam scanning time interval, and N represents the number of all SSB beams in a single said target cell.

5. According to the method described in claim 1, It is characterized in that, The interference suppression for the serving cells in the target area based on the first beam combination new configuration information of each target cell includes: Execute the first beam combination new configuration information of each target cell to perform interference suppression on the SSB beams of the serving cells in the target area; Obtain the target channel state information reference signal CSI-RS beam matched by the target starting beam of each target cell; Determine the target CSI-RS beam of each target cell as the target starting beam of the CSI-RS beam of each target cell; Adjust the mapping relationship between the CSI-RS beam bitmaps and the CSI-RS beams of each target cell according to the target starting beam of the CSI-RS beam of each target cell to obtain the second beam combination new configuration information of each target cell; Execute the second beam combination new configuration information of each target cell to perform interference suppression on the CSI-RS beams of the serving cells in the target area.

6. According to the method described in claim 5, It is characterized in that, It further includes: Obtain the service channel quality information associated with any terminal in the target area by using the SSB beam and CSI-RS beam after interference suppression; Based on the service channel quality information, adopt a joint anti-interference suppression technique to suppress interference on the service transmission channel of the terminal. The joint anti-interference suppression technique includes: a downlink cooperative scheduling interference suppression algorithm and / or an uplink joint reception interference suppression algorithm.

7. According to the method described in any one of claims 1-6, characterized in that, the determining of the SSB beam associated with the SSB Index value of each target cell according to the initial beam configuration information includes: determine the weight ratio of each SSB Index value of each target cell according to the initial beam configuration information; determine the equivalent SSB Index value of each target cell according to each SSB Index value of each target cell and the weight ratio of each SSB Index value; determine the SSB beam mapped by the equivalent SSB Index value of each target cell as the SSB beam associated with the SSB Index value of each target cell.

8. According to the method described in claim 7, characterized in that, for each target cell, the weight ratio of each SSB Index value of the target cell is determined through the following steps: determine the quantity ratio between the number of measurement points corresponding to each SSB Index value of the target cell and the number of measurement points corresponding to all SSB Index values of the target cell according to the initial beam configuration information. The measurement points are used to represent the position points where the corresponding SSB Index values are measured; determine the weight ratio of each SSB Index value according to the quantity ratio corresponding to each SSB Index value of the target cell.

9. According to the method described in claim 1, characterized in that, for each target cell, the new configuration information of the first beam combination is determined through the following steps: determine the mapping mode matched by the target starting beam of the target cell from the beam mapping mode table. The beam mapping mode table is used to represent the matching relationship between different starting beams and mapping modes; determine the new configuration information of the first beam combination according to the mapping mode. The mapping mode is used to represent the one-to-one mapping relationship between each SSB beam associated with the target starting beam and each SSB Index value.

10. According to the method described in any one of claims 1-6, characterized in that, before obtaining multiple target cells in the target area, it further includes: obtain the site information associated with multiple cells in the area to be optimized; perform signal measurements at multiple first sampling points in the area to be optimized respectively to obtain first sample data of each of the multiple first sampling points. The first sampling points are used to represent the position points in the area to be optimized, and the first sample data is used to represent the coverage signal information of the cells measured at the first sampling points. From the first sampling points, filter out the first target sample points in the first sample data where the reference signal receiving power (RSRP) of the serving cell is lower than the weak coverage threshold; According to the multiple site information, determine the distances of all neighboring cell pairs associated with each of the first target sample points, where the distance of a single neighboring cell pair is used to characterize the distance between the serving cell associated with the first target sample point and a single neighboring cell associated with the first target sample point; For each of the first target sample points, delete the coverage signal information of the target neighboring cell with a neighboring cell pair distance greater than the ultra - far neighboring cell fusing threshold from the first sample data of the first target sample point to obtain the first target sample data, and delete the target neighboring cell from the cells associated with the first target sample point; From the first target sample points, filter out the second sample points where the number of associated cells is not less than the set number, and determine the first target sample data of the second sample points as the second sample data; Cluster the second sample points according to the second sample data associated with each of the second sample points, and filter out the target clusters with the number of sample points not less than the sampling rate threshold from the clustered second sample points; Determine the second sample points in the target clusters as the third sample points; According to the geographical locations of the third sample points in the optimization area, determine the location areas of each of the target clusters in the area to be optimized; Determine any one of the location areas in the area to be optimized as the target area.

11. The method according to claim 10, wherein, it further includes: Determine the first beam combination new configuration information of multiple target cells in the target area as the first beam combination new configuration information of the same target cells in other location areas except the target area in the area to be optimized; According to the first beam combination new configuration information of the same target cells, determine the first beam combination new configuration information of all target cells in each of the other location areas; Based on the first beam combination new configuration information of all target cells in each of the other location areas, perform interference suppression on the serving cells in the other location areas.

12. An interference suppression device, wherein, it includes: A first acquisition module, configured to acquire multiple target cells in the target area, where the target area is used to characterize the weak coverage overlapping area, and the multiple target cells include: one serving cell and multiple neighboring cells meeting the set conditions; A second acquisition module, configured to acquire the initial beam configuration information associated with the multiple target cells, where the initial beam configuration information is used to characterize the synchronization broadcast block index (SSB Index) values of each of the multiple target cells measured in the target area; A first processing module, configured to determine the SSB beams associated with the SSB Index values of each of the target cells according to the initial beam configuration information; A second processing module, configured to input the SSB beam associated with the SSB Index value of each of the target cells, and the SSB beam staggering constraint information of each of the target cells into the interference suppression algorithm function of each of the target cells, to obtain the target starting beam of each of the target cells, where the interference suppression algorithm function is used to characterize the mapping relationship between the target starting beam, the SSB beam associated with the SSB Index value of a single target cell, and the SSB beam staggering constraint information of a single target cell; A third processing module, configured to adjust the mapping relationship between the SSB Index value and the SSB beam of each of the target cells according to the target starting beam of each of the target cells, to obtain the new configuration information of the first beam combination of each of the target cells; A fourth processing module, configured to perform interference suppression on the serving cells in the target area based on the new configuration information of the first beam combination of each of the target cells.

13. An electronic device, comprising a memory, a processor, and a computer program stored on the memory, wherein, the processor executes the computer program to implement the interference suppression method according to any one of claims 1 to 11.

14. A computer-readable storage medium, on which a computer program / instruction is stored, wherein, when the computer program / instruction is executed by a processor, the interference suppression method according to any one of claims 1 to 11 is implemented.

15. A computer program product, comprising a computer program / instruction, wherein, when the computer program / instruction is executed by a processor, the interference suppression method according to any one of claims 1 to 11 is implemented.

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