CN115549728A

CN115549728A - Cooperative cell determination method and device

Info

Publication number: CN115549728A
Application number: CN202110731258.9A
Authority: CN
Inventors: 秦彩; 闫琦; 王楠斌
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2021-06-29
Filing date: 2021-06-29
Publication date: 2022-12-30
Also published as: WO2023273679A1

Abstract

The embodiment of the application discloses a cooperative cell determining method, which is specifically characterized in that a network device determines a beam space based on reference signal received power of a plurality of beams, and divides each cell covered by the beam space into a plurality of grids. The network equipment acquires the spectrum efficiency of each grid in the serving cell aiming at any cell as the serving cell, and further acquires the total spectrum efficiency of each serving cell according to the spectrum efficiency of each grid in the serving cell. And the network equipment acquires a cooperation set corresponding to the first grid in each service cell according to the total spectrum efficiency of each service cell. That is, in the embodiment of the present application, the cooperation set corresponding to each first grid in each serving cell is determined based on the total spectrum efficiency of each serving cell, and the influence of the cell of each grid on other cells during cooperation is considered, so as to provide an optimal cooperation cell for the user equipment, and improve the service quality.

Description

Cooperative cell determination method and device

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a cooperative cell.

Background

With the expansion and continuous maturity of network construction scale, base stations of 5G networks are more densely deployed. A large-scale Multiple-input Multiple-output (Massive MIMO) is used as a basic technology and a key technology of a 5G network, and as more antennas are integrated, accurate beam forming and multi-stream multi-user coverage are realized. However, massive MIMO will result in more complex wireless channel state information while achieving more accurate user coverage, and inter-cell interference will become more severe especially for users at the cell edge. Therefore, how to reasonably configure a cooperation set for a serving cell of a User Equipment (UE) so that different cells can cooperate with each other to reduce inter-cell interference, so as to improve the transmission quality of the edge UE is an urgent technical problem to be solved.

Disclosure of Invention

The embodiment of the application provides a cooperative cell determination method and device, which are used for determining an optimal cooperative cell for UE (user equipment) and improving cooperative transmission quality.

In a first aspect of embodiments herein, a method for determining a coordinated cell, wherein each cell of a first plurality of cells covered by a beam space is divided into a plurality of grids, the beam space being determined according to reference signal received powers of a plurality of beams, the method comprising: when any cell is taken as a service cell, the network equipment acquires the frequency spectrum efficiency of each grid in the service cell; the network equipment obtains the total spectrum efficiency of each service cell according to the spectrum efficiency of each grid in each service cell; the network equipment obtains a cooperation set corresponding to a first grid in each service cell according to the total spectrum efficiency of each service cell, wherein the first grid is a grid corresponding to a plurality of second cells in the service cell, and the cells in the cooperation set provide transmission service for user equipment positioned in the grid; and the network equipment sends the cooperation set corresponding to the first grid to the wireless access device corresponding to the serving cell, so that the cooperation cell of the serving cell is determined in the cooperation set corresponding to the first grid.

In this embodiment, the network device determines a beam space based on reference signal received powers of a plurality of beams and divides each cell covered by the beam space into a plurality of grids. The network equipment acquires the spectrum efficiency of each grid in the serving cell aiming at any cell as the serving cell, and further acquires the total spectrum efficiency of each serving cell according to the spectrum efficiency of each grid in the serving cell. And the network equipment acquires the cooperation set corresponding to the first grid in each service cell according to the total spectrum efficiency of each service cell. That is, in the embodiment of the present application, the cooperation set corresponding to each first grid in each serving cell is determined based on the total spectrum efficiency of each serving cell, and the influence of the cell of each grid on other cells during cooperation is considered, so as to provide an optimal cooperation cell for the user equipment, and improve the service quality.

In a possible implementation manner, the obtaining, by the network device, a total spectrum efficiency of each serving cell according to a spectrum efficiency of each grid in each serving cell includes: for any service cell, the network device obtains the total spectrum efficiency of the service cell according to the spectrum efficiency and the spectrum efficiency parameter of each grid in the service cell.

In a possible implementation manner, the obtaining, by the network device according to the total spectrum efficiency of each serving cell, a cooperation set corresponding to a first grid in the serving cell includes: the network equipment determines the average spectrum efficiency of each serving cell according to the total spectrum efficiency corresponding to each serving cell and the number of cells, wherein the number of cells is the number of cells covered by the beam space; the network equipment determines the value of the spectral efficiency parameter by taking the maximization of the average spectral efficiency as a target; and the network equipment determines a cooperation set corresponding to a first grid in the service cell according to the value of the spectrum efficiency parameter.

In a possible implementation manner, the acquiring, by the network device, the spectrum efficiency of each grid in the serving cell includes: for the first grid in the serving cell, the network device obtaining spectral efficiencies of cells in the second plurality of cells on the first grid; the network device takes an average of the spectral efficiencies of the cells in the second plurality of cells on the first grid as the spectral efficiency of the first grid.

In a possible implementation manner, the acquiring, by the network device, the spectrum efficiency of each grid in the serving cell includes: aiming at a second grid in the service cell, the network equipment acquires the frequency spectrum efficiency of the service cell on the second grid, wherein the second grid is a grid which only corresponds to the service cell in the service cell; the network device takes the spectral efficiency of the serving cell on the grid as the spectral efficiency of the second grid.

In one possible implementation manner, the acquiring, by the network device, the spectrum efficiency of each cell in the second plurality of cells on the first grid includes: when each cell in the second plurality of cells is used as a serving cell, the network device obtains an angle power spectrum from the serving cell to the grid, a transmission power of the serving cell, and interference of an adjacent cell corresponding to the serving cell to the first grid; and the network equipment acquires the frequency spectrum efficiency of the serving cell on the first grid according to the angle power spectrum, the interference and the transmitting power.

In one possible implementation, the network obtaining the spectral efficiency of the serving cell on the first grid according to the angular power spectrum, the interference, and the transmission power includes: the network device inputs the power spectrum, the interference and the transmitting power into a pre-trained neural network model, the neural network model outputs the spectral efficiency of the serving cell on the first grid, and the neural network model is generated according to training data and spectral efficiency corresponding to the training data through pre-training.

In a possible implementation manner, the spectral efficiency corresponding to the training data is determined according to the traffic of the serving cell on the grid and the scheduled number of resource blocks of the serving cell on the grid.

In a possible implementation manner, the acquiring, by the network device, interference to the grid by a neighboring cell corresponding to the serving cell includes: aiming at any adjacent cell, the network equipment acquires the reference signal receiving power of a downlink wave beam corresponding to the adjacent cell and sent by the user equipment; the network equipment determines the interference of the neighbor cell to the grid according to the reference signal receiving power of the downlink wave beam corresponding to the neighbor cell and an effective flow probability, wherein the effective flow probability is the ratio of an effective flow value to a theoretical flow value of the neighbor cell within a preset time; and the network equipment adds the interferences of all the adjacent cells to the grid to obtain the interferences of the adjacent cells corresponding to the cells to the grid.

In a possible implementation manner, the sending, by the network device, the cooperation set corresponding to the first grid to the radio access device corresponding to the serving cell includes: and the network equipment sends the corresponding relation comprising the identifier corresponding to the first grid and the cell identifier in the cooperation set to the wireless access device corresponding to the service cell.

In a second aspect of the embodiments of the present application, a method for determining a cooperative cell is provided, where a first cell corresponds to a first radio access device, and a serving cell corresponding to a user equipment is the first cell, and the method includes: the first radio access device receives reference signal received power of a plurality of downlink beams transmitted by the user equipment; the first wireless access device determines a target grid of the user equipment in a beam space according to the reference signal received power of the plurality of downlink beams; the first radio access device determines a first cooperation set corresponding to the target grid, wherein the first cooperation set corresponding to the target grid is determined according to the spectrum efficiency corresponding to the target grid, the first cooperation set comprises one or more second cells, and the second cells are adjacent to the serving cell; and the first wireless access device sends a cooperation message to a second wireless access device corresponding to each of the one or more second cells, so that the second wireless access device performs cooperation transmission on the service of the user equipment.

In one possible implementation, before the first radio access apparatus sends the cooperation message to the second radio access apparatus corresponding to each of the one or more second cells, the method further includes: the first radio access device determines that the user equipment is not in a cooperative transmission state.

In one possible implementation, before the first radio access apparatus sends the cooperation message to the second radio access apparatus corresponding to each of the one or more second cells, the method further includes: when the user equipment is already in the cooperative transmission state, the first radio access device determines that a second cooperation set causing the user equipment to be already in the cooperative transmission state is inconsistent with the first cooperation set.

In a possible implementation manner, the sending, by the first radio access apparatus, the cooperation message to the second radio access apparatus corresponding to each of the one or more second cells includes: the first radio access device sends a cooperation message to a target second cell, the target second cell being included in the first cooperation set and not included in the second cooperation set.

In one possible implementation, the method further includes: the first wireless access device sends a cooperation stopping message to a third wireless access device corresponding to a third cell, wherein the third cell is included in the second cooperation set and not included in the first cooperation set.

In one possible implementation manner, the determining, by the first radio access device, a target grid of the user equipment in a beam space according to the reference signal received powers of the multiple downlink beams includes: the first wireless access device obtains the distance between the user equipment and each grid according to the reference signal receiving power of the plurality of downlink beams and the center coordinate of each grid, wherein the center coordinate of each grid is represented by the reference signal receiving power of the plurality of beams; and the first radio access device determines a target grid of the user equipment in the beam space according to the distance between the user equipment and each grid.

In one possible implementation manner, the determining, by the first radio access device, a first cooperation set corresponding to the target grid includes: the first wireless access device receives a corresponding relation between the identification of the target grid and the first cooperation set, which is sent by network equipment; and the first wireless access device determines a first cooperation set corresponding to the target grid according to the identification of the target grid and the corresponding relation between the identification of the target grid and the first cooperation set.

In a possible implementation manner, the identifier of the target grid is a center coordinate of the target grid.

In one possible implementation manner, the determining, by the first radio access device, a target grid of the user equipment in a beam space according to the reference signal received powers of the multiple downlink beams includes: the first wireless access device determines that the time for receiving the reference signal received power of the plurality of downlink beams meets a preset period; and the first radio access device determines a target grid of the user equipment in a beam space according to the reference signal receiving power of the plurality of downlink beams received in the preset period.

In a possible implementation manner, the reference signal received powers of the multiple downlink beams are channel state information reference signal received powers of the multiple downlink beams.

In a third aspect of embodiments of the present application, there is provided a coordinated cell determination apparatus that divides each cell of a first plurality of cells covered by a beam space into a plurality of grids, the beam space being determined according to reference signal received powers of a plurality of beams, the apparatus including: a first obtaining unit, configured to obtain, when any cell serves as a serving cell, spectrum efficiency of each grid in the serving cell; a second obtaining unit, configured to obtain a total spectrum efficiency of each serving cell according to a spectrum efficiency of each grid in each serving cell; a third obtaining unit, configured to obtain, according to a total spectrum efficiency of each serving cell, a cooperation set corresponding to a first grid in each serving cell, where the first grid is a grid corresponding to a second plurality of cells in the serving cell, and a cell in the cooperation set provides a transmission service for a user equipment located in the grid; a sending unit, configured to send the cooperation set corresponding to the first grid to the radio access device corresponding to the serving cell, so that the cooperation cell of the serving cell is determined in the cooperation set corresponding to the first grid.

In a possible implementation manner, the second obtaining unit is specifically configured to, for any serving cell, obtain a total spectrum efficiency of the serving cell according to a spectrum efficiency and a spectrum efficiency parameter of each grid in the serving cell.

In a possible implementation manner, the third obtaining unit is specifically configured to determine an average spectrum efficiency of each serving cell according to a total spectrum efficiency corresponding to each serving cell and a cell number, where the cell number is a number of cells covered by the beam space; determining the value of the spectral efficiency parameter with the aim of maximizing the average spectral efficiency; and determining a cooperation set corresponding to the first grid in the service cell according to the value of the spectrum efficiency parameter.

In a possible implementation manner, the first obtaining unit is specifically configured to, for the first grid in the serving cell, obtain a spectral efficiency of each cell in the second plurality of cells on the first grid; taking an average of the spectral efficiencies of the cells in the second plurality of cells on the first grid as the spectral efficiency of the first grid.

In a possible implementation manner, the first obtaining unit is specifically configured to obtain, for a second grid in the serving cell, a spectrum efficiency of the serving cell on the second grid, where the second grid is a grid of the serving cell only corresponding to the serving cell; taking the spectral efficiency of the serving cell on the grid as the spectral efficiency of the second grid.

In a possible implementation manner, the first obtaining unit is specifically configured to obtain, when each cell in the second plurality of cells is used as a serving cell, an angular power spectrum from the serving cell to the grid, a transmission power of the serving cell, and interference of an adjacent cell corresponding to the serving cell on the first grid; and acquiring the spectral efficiency of the serving cell on the first grid according to the angle power spectrum, the interference and the transmitting power.

In a possible implementation manner, the first obtaining unit is specifically configured to input the power spectrum, the interference, and the transmission power into a pre-trained neural network model, and output, by the neural network model, a spectral efficiency of the serving cell on the first grid, where the neural network model is generated according to training data and a spectral efficiency pre-training corresponding to the training data.

In a possible implementation manner, the first obtaining unit is specifically configured to obtain, for any neighboring cell, reference signal received power of a downlink beam corresponding to the neighboring cell sent by the user equipment; determining the interference of the neighbor cell to the grid according to the reference signal receiving power of the downlink wave beam corresponding to the neighbor cell and an effective flow probability, wherein the effective flow probability is the ratio of an effective flow value to a theoretical flow value of the neighbor cell within a preset time; and adding the interferences of all the adjacent cells to the grid to obtain the interferences of the adjacent cells corresponding to the cells to the grid.

In a possible implementation manner, the sending unit is specifically configured to send a correspondence relationship between an identifier corresponding to the first grid and a cell identifier in the coordinated set to a wireless access apparatus corresponding to the serving cell.

In a fourth aspect of the embodiments of the present application, an apparatus for determining a coordinated cell is provided, where a first cell corresponds to the apparatus, and a serving cell corresponding to a user equipment is the first cell, and the apparatus includes: a receiving unit, configured to receive reference signal received powers of a plurality of downlink beams sent by the user equipment; a determining unit, configured to determine a target grid of the user equipment in a beam space according to the reference signal received powers of the multiple downlink beams; the determining unit is further configured to determine a first cooperation set corresponding to the target grid, where the first cooperation set corresponding to the target grid is determined according to the spectral efficiency corresponding to the target grid, and the first cooperation set includes one or more second cells, where the second cells are neighboring cells of the serving cell; a sending unit, configured to send a cooperation message to a second radio access apparatus corresponding to each of the one or more second cells, so that the second radio access apparatus performs cooperative transmission on a service of the user equipment.

In a possible implementation manner, the determining unit is further configured to determine that the user equipment is not in a cooperative transmission state before sending a cooperation message to a second radio access apparatus corresponding to each of the one or more second cells.

In a possible implementation manner, the determining unit is further configured to determine, before sending the cooperation message to the second radio access apparatus corresponding to each of the one or more second cells, that a second cooperation set that causes the user equipment to be in the cooperation transmission state is inconsistent with the first cooperation set when the user equipment is already in the cooperation transmission state.

In a possible implementation manner, the sending unit sends a cooperation message to a target second cell, where the target second cell is included in the first cooperation set and not included in the second cooperation set.

In a possible implementation manner, the sending unit is further configured to send a cooperation stopping message to a third radio access apparatus corresponding to a third cell, where the third cell is included in the second cooperation set and is not included in the first cooperation set.

In a possible implementation manner, the determining unit is further configured to obtain a distance between the user equipment and each grid according to the reference signal received powers of the multiple downlink beams and a center coordinate of each grid, where the center coordinate of each grid is represented by the reference signal received powers of the multiple beams; and determining a target grid of the user equipment in the beam space according to the distance between the user equipment and each grid.

In a possible implementation manner, the receiving unit is further configured to receive a correspondence between an identifier of the target grid and the first cooperation set, where the identifier is sent by a network device; the determining unit is further configured to determine a first collaboration set corresponding to the target grid according to the identifier of the target grid and a correspondence between the identifier of the target grid and the first collaboration set.

In one possible implementation, the identifier of the target grid is a center coordinate of the target grid.

In a possible implementation manner, the determining unit is further configured to determine that a time for receiving reference signal received powers of the multiple downlink beams satisfies a preset period; and determining a target grid of the user equipment in a beam space according to the reference signal receiving power of the plurality of downlink beams received in the preset period.

In a fifth aspect of embodiments of the present application, there is provided a communication device, including: a processor and a memory; the memory for storing instructions or computer programs; the processor is configured to execute the instructions or computer program in the memory to cause the communication device to perform the method of the first aspect.

In a sixth aspect of embodiments of the present application, there is provided a communication device, including: a processor and a memory; the memory for storing instructions or computer programs; the processor is configured to execute the instructions or computer program in the memory to cause the communication device to perform the method of the second aspect.

In a seventh aspect of embodiments of the present application, there is provided a computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of the first aspect above, or perform the method of the second aspect above.

According to the technical scheme provided by the embodiment of the application, the network equipment determines the beam space based on the reference signal received power of a plurality of beams, and divides each cell covered by the beam space into a plurality of grids. The network equipment acquires the spectrum efficiency of each grid in the serving cell aiming at any cell as the serving cell, and further acquires the total spectrum efficiency of each serving cell according to the spectrum efficiency of each grid in the serving cell. And the network equipment acquires the cooperation set corresponding to the first grid in each service cell according to the total spectrum efficiency of each service cell. Namely, in the embodiment of the present application, the cooperation set corresponding to each first grid in each serving cell is determined based on the total spectrum efficiency of each serving cell, and the influence on other cells when the cells of each grid cooperate is considered, so as to provide an optimal cooperation cell for the user equipment and improve the service quality.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a schematic diagram of a cooperative cell determination scenario;

fig. 2 is a schematic beam space diagram provided in an embodiment of the present application;

fig. 3 is a flowchart of a method for determining a cooperative cell according to an embodiment of the present application;

fig. 4 is a flowchart of another cooperative cell determination method provided in the embodiment of the present application;

FIG. 5 is a diagram illustrating a system architecture according to an embodiment of the present application;

fig. 6 is a structural diagram of a cooperative cell determination apparatus according to an embodiment of the present application;

fig. 7 is a block diagram of another cooperative cell determination apparatus according to an embodiment of the present application;

fig. 8 is a structure diagram of a network device according to an embodiment of the present application;

fig. 9 is a diagram of another network device structure according to an embodiment of the present application.

Detailed Description

In order to make those skilled in the art better understand the solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments.

Currently, cooperative transmission techniques are mainly based on instantaneous measurements of SSB signals by user equipment. As shown in fig. 1, when the UE is located at a cell edge, the strength of the SSB signal transmitted by the Active Antenna Unit (AAU) corresponding to each of the two cells (cell 1 and cell 2), i.e. the reference signal power (RSRP), can be measured simultaneously, which is RSPP1 of AAU1 and RSPP2 of AAU2, respectively. The serving cell corresponding to the UE is cell 1, the UE sends the measured RSPP1 and RSPP2 to the AAU1, and when the AAU1 determines that the difference between the two signal strengths reported by the UE is smaller than the preset threshold, it determines that the AAU1 and the AAU2 satisfy the cooperative transmission condition, and the AAU1 notifies the corresponding baseband processing unit (BBU) to itself, that is, the BBU1 needs to cooperate with the AAU 2.

Because the main serving cell only determines the cooperation set according to the SSB signal strengths of the main serving cell and the neighboring cells measured by the UE, the influence of the cells in the cooperation set on other neighboring cells after cooperation is not considered, which causes the increase of channel interference and traffic load of other neighboring cells and influences the transmission quality of other neighboring cells.

Based on this, a cooperative cell determination method provided in the embodiments of the present application determines a beam space based on reference signal received powers of multiple beams, and divides each cell covered by the beam space into multiple grids. The network equipment acquires the spectrum efficiency of each grid in the serving cell aiming at any cell as the serving cell, and further acquires the total spectrum efficiency of each serving cell according to the spectrum efficiency of each grid in the serving cell. And the network equipment acquires the cooperation set corresponding to the first grid in each service cell according to the total spectrum efficiency of each service cell. The first grid is a grid corresponding to a plurality of cells in a serving cell, and when the user equipment is located in any cell included in the cooperation set, the cell can provide transmission service for the user equipment. That is, in the embodiment of the present application, the cooperation set corresponding to each first grid in each serving cell is determined based on the total spectrum efficiency of each serving cell, and the influence of the cell of each grid on other cells during cooperation is considered, so as to provide an optimal cooperation cell for the user equipment, and improve the service quality.

In order to facilitate understanding of specific implementations of the embodiments of the present application, technical concepts related to the embodiments of the present application will be explained below.

Massive MIMO: the traditional MIMO antenna is 2 antenna, 4 antenna or 8 antenna, while the channels of the Massive MIMO reach 64/128/256. In the conventional MIMO, taking 8 antennas as an example, the actual signal moves in the horizontal direction in the coverage area and does not move in the vertical direction. While the signals of Massive MIMO are utilized by introducing a space domain with a vertical dimension on the basis of a space with a horizontal dimension. In addition, massive MIMO also has the advantages of providing rich spatial degrees of freedom, providing more possible arrival paths, and improving the reliability of signals. For wireless networks based on Massive MIMO technology (e.g., 4.5G and 5G, etc.), a user equipment may employ multiple beams (e.g., narrow beams) in a beam space for communication during interaction with a base station.

Wherein the beam space may be defined based on a plurality of static beams. A schematic diagram of one possible beam space is shown in fig. 2. The static beam is a beam formed by adopting a predefined weight value during beam forming. For example, fixed beams are formed under a cell, wherein the number, width and direction of the beams are determined. The static beams may include beams carrying Channel State Information Reference signals (CSI-RS) and beams carrying synchronization Signal and PBCH block (SSB), and the transmission direction of the beams is determined by physical Radio Frequency (RF) parameters. When the physical RF parameters are determined, a beam space may be defined based on a plurality of static beams carrying CSI-RS or static beams carrying SSB.

The n-dimensional beam space referred to in the embodiments of the present application is defined based on n static beams. For example, the n-dimensional beam space is defined based on n beams carrying CSI-RS, where the n beams are the number of beams received by the beam antenna, or the n-dimensional beam space is defined based on n beams carrying SSB, where the n beams are the number of beams received by the beam antenna. The n-dimensional beam is a plurality of beams mentioned in the embodiments of the present application.

The information of the multi-beam can be determined by Measurement Report (MR). Wherein the MR can record the time of MR generation, level measurement and flow measurement of multiple beams, etc. The level measurement value of one beam may be RSRP obtained by the base station measuring a Sounding Reference Signal (SRS) transmitted by the user equipment using the beam, or the level measurement value of one beam may be RSRP obtained by the user equipment measuring a CSI-RS transmitted by the base station using the beam. For the latter case, the ue needs to report the measured level measurement value of the beam to the base station.

Information such as CELLID, TIME, RSRP1-RSRPN, ULTHP, DLTHP, etc. may be included in the MR. Where CELLID refers to a cell ID. The cell ID is an ID of a serving cell corresponding to the user equipment, and the MR is an MR for the user equipment. TIME refers to the TIME that the MR was generated. RSRP1 to RSRPn refer to level measurements of n beams, or may be referred to as n-dimensional beam level measurements. The RSRP1 to RSRPn refer to n RSRPs obtained by a base station measuring SRS respectively transmitted by the user equipment using n beams, or n RSRPs obtained by a user equipment measuring CSI-RS respectively transmitted by the base station using n beams. Where n is the number of beams included in the beam space, for example, the value of n may be 32 or 64. It is understood that, taking RSRP1 as an example, RSRP1 is an average or cumulative RSRP value of the 1 st beam measured in a time period determined by the generation time of the current MR and the generation time of the previous MR.

In addition, it should be noted that the MR may include level measurements of n beams, or level measurements of p beams, where p < n, and p and n are positive integers. Wherein the level measurements of the p beams refer to the p valid level measurements. It is understood that the ue or the base station may not be able to measure the level measurements of all n beams, for example, the ue may only measure the level measurements of p beams of the n beams, and in this case, the ue may only report the level measurements of the p beams. For the convenience of subsequent use, the level measurement values of p beams may be expressed as level measurement values of n beams, for example, the level measurement values of n-p beams other than p beams are set to 0.

ULTHP (uplink throughput) represents an upstream traffic measurement value, and DLTHP (downlink throughput) represents a downstream traffic measurement value. Among them, MR may include only ULTHP or DLTHP. And the DLTHP is the sum of the sizes of downlink messages accumulated in the time period determined by the generation time of the current MR and the generation time of the previous MR.

Wireless channel: in wireless communication, a path between a transmitting end (an antenna, which may be one antenna or one or more antenna arrays) and a receiving end (e.g., a user equipment) may include multiple channels. The wireless channel may also be referred to as a path. The transmitting end may be an antenna (for example, one antenna, or one or more antenna arrays), and the receiving end may be user equipment. The transmitting end may also be a user equipment, and the receiving end may also be an antenna.

Path strength: the power component on the path when a radio signal of unit power propagates to the receiving end. The path strength characterizes the ratio of the remaining power of the signal on the path after propagating through space.

Target path strength: the target path strength is a matrix, and the dimensionality of the matrix is the same as the number of horizontal and vertical discretization angles of each wave beam of the angle power spectrum cell. The elements in the matrix represent the path strengths of the horizontal and vertical paths after the angular discretization.

Angular power spectrum: the angular power spectrum is a description of the wireless channel from the antenna to the grid, including information such as the number of paths, path angles, and path strengths of the paths.

Angular power spectrum cell: the user equipment located in the grid may receive the cell in which the downlink beam is located. For example, if the ue is able to receive downlink beams transmitted by cell 1 and cell 2, respectively, then cell 1 and cell 2 are both angular power spectrum cells.

A serving cell: the cell with the maximum reference signal received power detected by the user equipment.

CSI-RS: the received power of the downlink pilot signal sent to the UE by the base station is called CSI-RSRP. There are multiple types of CSI-RS in a New Radio (NR) and may be used for channel measurement, time-frequency offset tracking, beam management, and mobility management. In the embodiments of the present application, CSI-RS for mobility management is described as an example. The mobility management CSI-RS can measure the beam level CSI-RSRP of the serving cell and the neighboring cells thereof.

The RSRP of the uplink beam includes a demodulation reference signal (DMRS) RSRP, an SRS-RSRP, and the like. The RSRP of the downlink beam comprises the RSRP of the CSI-RS, SSB-RSRP and the like. In the embodiments of the present application, RSRP of CSI-RS is taken as an example for description.

Grid: each cell is divided into multiple virtual grids in the beam space, and one beam space may correspond to (or cover) one or more cells.

The user equipment is a device with a wireless transceiving function, can be deployed on land and comprises an indoor or outdoor, handheld, wearable or vehicle-mounted device; can also be deployed on the water surface (such as a ship and the like); and may also be deployed in the air (e.g., airplanes, balloons, satellites, etc.). The user equipment may be UE, mobile phone (mobile phone), tablet computer (Pad), computer with wireless transceiving function, virtual Reality (VR) user equipment, augmented Reality (AR) user equipment, wireless terminal in industrial control (industrial control), vehicle-mounted user equipment, wireless terminal in self driving (self driving), wireless terminal in remote medical (remote medical), wireless terminal in smart grid (smart grid), wireless terminal in transportation safety (transportation safety), wireless terminal in smart city (smart city), wireless terminal in smart home (smart home), wearable user equipment, and the like. The user equipment may be fixed or mobile.

For convenience of understanding, the cooperative cell determination method provided by the embodiment of the present application will be described below with reference to the accompanying drawings.

Referring to fig. 3, which is a flowchart of a cooperative cell determination method provided in an embodiment of the present application, as shown in fig. 3, the method may include:

s301: when any cell is used as a serving cell, the network equipment acquires the spectrum efficiency of each grid in the serving cell.

In the present embodiment, each of the first plurality of cells covered by the beam space is divided into a plurality of grids in advance. Since one base station may cover a first plurality of cells, there may be overlapping areas between adjacent cells, and when a cell is divided into a plurality of grids, there may be overlapping grids between adjacent cells. Therefore, there are cases where some grids correspond to multiple cells. The one or more cells corresponding to the grid refer to cells in which the user equipment located in the grid can receive the downlink beams. When any cell in the beam space is used as a serving cell, the spectrum efficiency of each grid corresponding to the serving cell is obtained. Wherein the beam space is determined from the reference signal received powers of the plurality of beams.

Some grids (first grids) in the grids divided by the serving cell correspond to a second plurality of cells (including the serving cell and neighbor cells corresponding to the serving cell), and some grids (second grids) correspond to only the serving cell. When obtaining the spectral efficiency of a first grid in a serving cell, the network device obtains the spectral efficiency of each cell in the second plurality of cells on the first grid, and takes the average of the spectral efficiencies of each cell in the second plurality of cells on the first grid as the spectral efficiency of the first grid. For example, when the grid (kth grid of the cell m) is simultaneously served by the serving cell m and the neighboring cell j, the spectrum efficiency of the grid is an average value of the spectrum efficiencies of the serving cell and the cooperating cell on the grid;

P _tj indicating the transmission power of the radio access device corresponding to the neighbor cell j,

representing the angular power spectrum of the neighbor cell j through the kth grid.

When the frequency efficiency of the second grid in the serving cell is obtained, the network device obtains the frequency efficiency of the serving cell on the second grid, and takes the spectrum efficiency of the serving cell on the second grid as the spectrum efficiency of the second grid. That is, for the second grid corresponding to only the serving cell, only the spectral efficiency of the serving cell on the second grid needs to be obtained, and the spectral efficiency of the serving cell on the second grid is determined as the spectral efficiency of the second grid.

The network device may obtain the spectrum efficiency of each cell in the second plurality of cells in the first grid by using, but not limited to, the following methods:

1) When each cell in the second plurality of cells is used as a serving cell, the network device obtains an angle power spectrum from the serving cell to the first grid, the transmission power of the serving cell, and interference of an adjacent cell corresponding to the serving cell to the first grid.

In this embodiment, since the first grid corresponds to the second plurality of cells (including the serving cell and one or more neighboring cells), in order to obtain the spectrum efficiency of the first grid, it is necessary to first obtain the spectrum efficiency of each cell in the second plurality of cells on the first grid. Specifically, when each cell in the second plurality of cells is used as a serving cell, an angle power spectrum from the serving cell to the first grid, a transmission power of the serving cell, and interference of an adjacent cell corresponding to the serving cell to the first grid are obtained. For example, as shown in table 1, the second plurality of cells corresponding to the first grid k of the serving cell m includes a cell m, a cell a1, and a cell a2. When the spectrum efficiency of each cell in the second plurality of cells on the first grid k is obtained, the cell m is taken as a service cell, and the network equipment obtains the spectrum efficiency from the cell m to the first gridAngular power spectrum X _m (k) The transmission power P of cell m _tm And interference if of neighboring cells a1 and a2 corresponding to cell m on first grid k _m (k) And according to X _m (k)、P _tm 、if _m (k) The spectral efficiency se (m, k) of cell m on the first grid is obtained. Taking the cell a1 as a service cell, the network equipment acquires an angle power spectrum X from the cell a1 to a first grid _a1 (k) The transmission power P of cell a1 _ta1 And interference if of the neighboring cell corresponding to the cell a1 on the first grid k _a1 (k) And according to Xa1 (k), P _ta1 、if _a1 (k) The spectral efficiency se (a 1, k) of cell a1 on the first grid is obtained. With the cell a2 as a serving cell, the network device obtains an angular power spectrum X from the cell a2 to the first grid _a2 (k) The transmission power P of cell a2 _ta2 And interference if of the neighboring cell corresponding to the cell a2 on the first grid k _a2 (k) And according to X _a2 (k)、Pt _a2 、if _a2 (k) The spectral efficiency se (a 2, k) of cell a2 on the first grid is obtained.

TABLE 1 second plurality of cells corresponding to the first grid

Second plurality of cell identities	Angular power spectrum	Transmitting power	Interference	Spectral efficiency
					Cell m	X _m (k)	P _tm	if _m (k)	se(m,k)
Cell a1	X _a1 (k)	P _ta1	if _a1 (k)	se(a1,k)
					Cell a2	X _a2 (k)	P _ta2	if _a2 (k)	se(a2,k)

Wherein the transmission power of the serving cell may be obtained by measurement. The angular power spectrum is wireless channel multipath information determined by the network device. The angular power spectrum includes path angles and path strengths of propagation paths from antennas in the angular power spectrum cell to the grid. The antennas in the angular power spectrum cell are antennas that transmit downlink beams, and the antennas may be antenna arrays. The implementation of obtaining the angular power spectrum from the serving cell to the grid will be described in the following embodiments.

Wherein, the interference of the adjacent cell to the first grid can be obtained by the following steps: aiming at any adjacent cell, the network equipment acquires the reference signal receiving power of a downlink wave beam sent by the adjacent cell; and the network equipment determines the interference of the adjacent cell to the grid according to the reference signal receiving power of the downlink wave beam sent by the adjacent cell and the effective flow probability. The effective flow probability is the ratio of an effective flow value to a theoretical flow value of the adjacent cell within a preset time; the network equipment adds the interferences of all the adjacent cells to the grid to obtain the interferences of the adjacent cells corresponding to the service cell to the grid. It should be noted that, because interference is generated to the serving cell only when there is a download service in the neighboring cell, the reference signal received power of the downlink beam in the remaining time is only the level of the reference signal, and interference is not generated to the grid. Therefore, when the interference of each adjacent cell to the grid is calculated, the determination is carried out according to the effective flow probability, so that the effective interference of the adjacent cell to the grid is obtained. Specifically, see formula (1), where L neighbor cells are illustrated as an example where a serving cell m corresponds to the serving cell m:

wherein

Wherein, if _m (k) For all neighbor cell interference generated to grid k,

for the interference of the neighbor cell l to the grid k, ρ _l To the effective flow probability, thp _{eff_l} For an effective flow rate of a neighboring cell l within a predetermined time, thp _{beam_l} Detected CSI RSRP as the theoretical flow of the adjacent cell l in the preset time _l The reference signal received power of cell l is measured for the user equipment. The preset time may be set according to practical applications, and this embodiment is not limited herein.

It should be noted that, for the second grid in the serving cell, the implementation of the network device in acquiring the spectral efficiency of the serving cell on the second grid may refer to the above description of the network device acquiring the spectral efficiency of each cell in the multiple cells on the first grid, and this embodiment is not described again here.

2) And the network equipment acquires the spectrum efficiency of the serving cell on the first grid according to the angle power spectrum, the interference and the transmission power.

In this embodiment, after obtaining an angle power spectrum from a serving cell to a grid, transmission power of the serving cell, and interference of an adjacent cell corresponding to the serving cell to the grid, the spectrum efficiency of the serving cell on the first grid is obtained according to the angle power spectrum, the transmission power, and the interference.

Specifically, the angular power spectrum, the transmission power, and the interference may be input as input data into a pre-trained neural network model, which outputs the spectral efficiency of the cell on the grid. The neural network device is generated in advance according to the training data and the spectrum efficiency corresponding to the training data. The training data comprises the angular power spectrum of the serving cell on the grid, the transmitting power of the serving cell and the interference of the adjacent cell corresponding to the serving cell on the grid. The spectrum efficiency corresponding to the training data is determined according to the flow on the grid and the number of the cell resource bases scheduled by the grid. For example, taking the k-th cell in cell m as an example, the flow rate of the k-th cell is

The number of resource pool RBs scheduled on the grid is

The spectral efficiency of the cell on the grid is then:

the training neural network model is to use the neural network model to fit the functional relationship between the input characteristics such as the transmission power, the angle power spectrum and the interference of the serving cell and the spectral efficiency, so as to obtain the neural network model after the loss function convergence:

wherein, P _Mm Transmission power, X, of radio access device corresponding to serving cell _m (k) Angle power spectrum, if, for serving cell _m (k) Interference of adjacent cells on the grid,

Representing the parametric model after neural network training.

After the training is completed, the network device may obtain the spectrum efficiency of each grid in the serving cell by using the neural network model.

S302: and the network equipment obtains the total spectrum efficiency of each service cell according to the spectrum efficiency of each grid in each service cell.

In this embodiment, for any serving cell, after obtaining the spectral efficiency of each grid in the serving cell, the total spectral efficiency of the serving cell is obtained according to the spectral efficiency of each grid in the serving cell. Specifically, the network device obtains the total spectrum efficiency of the serving cell according to the spectrum efficiency of each grid in the serving cell and the spectrum efficiency parameter.

S303: and the network equipment acquires the cooperation set corresponding to the first grid in each service cell according to the total spectrum efficiency of each service cell.

In this embodiment, after the network device obtains the total spectrum efficiency corresponding to each cell in the beam space as the serving cell, the cooperation set corresponding to the first grid in each serving cell is obtained according to the total spectrum efficiency of each serving cell. The first grid is a grid corresponding to a plurality of cells in the serving cell, and the cells in the cooperation set can provide transmission service for the user equipment. The determined cooperation set corresponding to the first grid may include only the identifier of the neighboring cell corresponding to the serving cell, or include both the identifier of the serving cell and the identifier of the neighboring cell.

Specifically, the network device determines the average spectrum efficiency of each serving cell according to the total spectrum efficiency corresponding to each serving cell and the number of cells; the network equipment determines a spectrum efficiency parameter by taking the maximum average spectrum efficiency as a target; and the network equipment determines a cooperation set corresponding to the first grid in each service cell according to the value of the frequency spectrum efficiency parameter. The number of cells is the number of cells covered by the beam space. Specifically, see formula (2);

wherein, y _m,j As a spectral efficiency parameter, y _m,j E {0,1}, M is the number of cells covered by the beam space,

identifying the traffic of cell m, thp _{gridm_k} The flow of the k-th cell corresponding to cell m. Thpmin represents the minimum traffic that the cell should meet, and Thpmax represents the maximum traffic that the cell should meet. In determining y _m,j During value taking, heuristic algorithms such as a Branch and Cut algorithm, a Branch and Bound algorithm, a genetic algorithm and the like can be used for solving. If y _m,j And =1, indicating that cell m and cell j have a cooperative relationship. The following embodiments will be described with respect to the implementation of obtaining the flow rate corresponding to the grid.

S304: and the network equipment sends the cooperation set corresponding to the first grid to a wireless access device of the serving cell.

After determining the cooperation set corresponding to the first grid of the serving cell, sending the cooperation set corresponding to the first grid to the radio access device of the serving cell, so that the cooperation cell of the serving cell is determined in the cooperation set corresponding to the first grid. Specifically, the network device sends an identifier corresponding to the first grid and a corresponding relationship between cell identifiers included in the cooperation set to the wireless access apparatus corresponding to the serving cell. The wireless access device corresponding to the serving cell may be an active antenna unit AAU corresponding to the serving cell.

The identifier corresponding to the first grid may be a center coordinate corresponding to the grid, where the center coordinate is represented by the reference signal received power of the plurality of beams. The concrete expression form is as follows:

………

wherein,

represents the coordinates of the center point of the ith grid, cellID _i Is the serving cell ID, cellID, of the ith virtual grid center point _xij Indicating the jth cooperating cell ID on the ith virtual grid.

As can be seen from the above, the beam space is determined based on the reference signal received powers of the plurality of beams, and each cell covered by the beam space is divided into a plurality of grids. When any cell is taken as a service cell, the network equipment acquires the frequency spectrum efficiency of each grid in the service cell, and further acquires the total frequency spectrum efficiency of each service cell according to the frequency spectrum efficiency of each grid in the service cell. And the network equipment acquires the cooperation set corresponding to the first grid in each service cell according to the total spectrum efficiency of each service cell. The first grid is a grid corresponding to a plurality of cells in a serving cell, and when the user equipment is located in any cell included in the cooperation set, the cell can provide transmission service for the user equipment. That is, in the embodiment of the present application, the cooperation set corresponding to each first grid in each serving cell is determined based on the total spectrum efficiency of each serving cell, and the influence of the cell of each grid on other cells during cooperation is considered, so as to provide an optimal cooperation cell for the user equipment, and improve the service quality.

Obtaining an angle power spectrum from a serving cell to a grid

When the network device determines each of the multiple cells as the serving cell in the above embodiments, the spectral efficiency of the network device on the first grid will need to obtain the angular power spectrum from the serving cell to the grid. Therein, the serving cell-to-grid angular power spectrum may be obtained in the following manner.

S1: the network equipment acquires a plurality of first data, wherein the first data comprises reference signal received power, grid identification, serving cell identification and angle power spectrum cell identification of a plurality of downlink beams.

In one implementation, a network device obtains a plurality of first data from a wireless access apparatus. For example, the network device obtains, from an MR data storage module of the wireless access apparatus, a multi-beam CSI-RSRP of each cell for a period of time, and a grid identifier (also referred to as a grid ID), a serving cell identifier (also referred to as a serving cell ID), and an angle power spectrum cell identifier (also referred to as an angle power spectrum cell ID) corresponding to an RSRP of a downlink beam of each cell, respectively. That is, RSRPs of downlink beams of respective cells are stored in the MR data (i.e., a plurality of first data) in association with the grid ID, the serving cell ID, and the angular power spectrum cell ID. For example, table 1 is an MR data recording table provided in an embodiment of the present application. The MR data record table includes a user equipment number (indicating each user equipment), an MR data number (indicating a plurality of pieces of MR data reported by the user equipment), a serving cell ID, a grid ID, an angular power spectrum cell ID, and RSRP of a plurality of downlink beams. Here, one row of data (i.e., one piece of MR data) in table 2 is one piece of first data. The network device acquiring the plurality of first data from the wireless access apparatus includes a plurality of pieces of MR data measured by the plurality of user equipments.

Table 2: MR data record table

The RSRP in table 2 is a vector, and the dimension is equal to the number of CSI-RS beams, that is, the RSRP shown in table 2 includes RSRPs of each of a plurality of beams. For example, UE1 is located in an area with a grid ID of 134, and the serving cell ID and angular power spectrum cell ID are 3924752. The UE1 acquires RSRP of a plurality of CSI-RS beams in a current area. RSRP measurement for each CSI-RS beamAnd CSI-RS wave beam number forming matrix RSRP _{(3924752,134，3924752)} 。

In a non-drive test scenario, the grid ID corresponding to the RSRP of the downlink beam of each cell is the grid ID of the beam space including the grid. Wherein the beam space is determined according to the reference signal received power of a plurality of uplink beams. For example, a radio access device periodically measures the multi-beam SRS-RSRP for each user equipment under the radio access device. And the wireless access device determines the grid ID in the beam space corresponding to each user equipment according to the beam space and the multi-beam SRS-RSRP measured value of each user equipment. That is, the beam space made up of RSRP of multiple uplink beams may be analogized to the actual geographic space. The beam space is divided into a plurality of grids, each grid having a respective grid ID. Each user equipment under the radio access device also corresponds to each grid ID.

In another implementation, a network device obtains a plurality of first data from a drive test device. For example, the network device obtains RSRPs of a plurality of downlink beams measured by the user equipment in a period of time from a DT data recording module of the drive test equipment, and a serving cell ID, an angle power spectrum cell ID, and longitude and latitude information of the user equipment during measurement, which correspond to the measured RSRPs of the plurality of downlink beams, respectively. That is, RSRPs of a plurality of downlink beams measured by the user equipment are stored in the DT data (i.e., a plurality of first data) in association with the serving cell ID, the angle power spectrum cell ID, and latitude and longitude information of the user equipment at the time of measurement. For example, table 3 is a DT data record table provided in the embodiment of the present application. The DT data record table includes a user equipment number (indicating each user equipment), a DT data number (indicating multiple pieces of DT data reported by the user equipment), a serving cell ID, an angle power spectrum cell ID, RSRP of multiple downlink beams, and longitude and latitude information. It can be seen that the first data shown in table 3 has more latitude and longitude information than the first data shown in table 2, indicating the corresponding geographical grid. That is, the latitude and longitude information in table 3 corresponds to the grid ID indicating the geographical grid in which the user equipment is located.

Table 3: DT data recording table

The drive test equipment can determine the grid ID corresponding to the user equipment during measurement according to the latitude and longitude information of the user equipment during measurement. That is, in the drive test scenario, the grid ID corresponding to the RSRP of the downlink beams is the grid identifier of the geographic space. For example, a geographic space is a three-dimensional space made up of latitude and longitude information. When a set of latitude and longitude information is given, the set of latitude and longitude information is mapped to a planar area of n meters x m meters (n and m are positive integers), which is a grid.

S2: the network device determines a plurality of second data according to the plurality of first data.

Since the amount of the plurality of first data acquired by the network device is large, in order to remove random interference fluctuation, the network device may further process the plurality of first data to obtain second data. The second data is a characteristic value of the first data with the same grid ID, serving cell ID and angular power spectrum cell ID. The first data comprises the identification of the angle power spectrum cell to which the terminal belongs. The angular power spectrum cell is a cell where a downlink beam received by the user equipment is located. That is, if the user equipment detects the downlink beam RSRP of a cell, the cell is the angular power spectrum cell of the user equipment. The angular power spectrum cell may be a serving cell or a neighboring cell. For example, in the network scenario shown in fig. 1, cell 1 is a serving cell of a user equipment, and cell 2 is a neighboring cell. The user equipment detects downlink beam RSRP of the cell 1 and downlink beam RSRP of the cell 2. Then cell 1 and cell 2 are both angular power spectrum cells of the user equipment. The RSRP of the downlink beam of each cell is stored in association with the corresponding grid ID, serving cell ID, and angular power spectrum cell ID (i.e., a plurality of first data). For example, the user equipment is located in an area with a grid ID of 134 and a serving cell ID of 3924752. The UE1 acquires RSRP of a plurality of CSI-RS beams in a current area. Therein, the user equipment is able to measure RSRP of CSI-RS beams to the serving cell 3924752 and RSRP of CSI-RS beams of the neighboring cell 3924674.

In one implementation, a network device determines a plurality of second data according to a grid ID, a serving cell ID, an angular power spectrum cell ID, and RSRP of a plurality of downlink beams included in a plurality of first data, and includes the following steps:

the network equipment acquires RSRP of a plurality of downlink beams with the same grid ID, serving cell ID and angle power spectrum cell ID in a plurality of first data;

the network equipment determines the characteristic values of the RSRP of a plurality of downlink beams with the same grid ID, serving cell ID and angular power spectrum cell ID in the plurality of first data. The characteristic value is any one of an average value of the reference signal received powers of the plurality of downlink beams, a median of the reference signal received powers of the plurality of downlink beams, or a mode of the reference signal received powers of the plurality of downlink beams.

That is, the network device acquires the characteristic values of the first data in which the grid ID, the serving cell ID, and the angular power spectrum cell ID are all the same, so that the data amount can be reduced. The following description will be given taking the feature value as an average value as an example. For example, table 3 is a record table of a plurality of first data provided in the embodiment of the present application. The plurality of first data may include a plurality of first data having the same grid ID, serving cell ID, and angular power spectrum cell ID, as shown in table 4.

Table 4: record table of a plurality of first data

S3: and the network equipment determines the angle power spectrum from the antenna in the angle power spectrum cell indicated by each angle power spectrum cell identifier to the grid indicated by each grid identifier in the second data according to each piece of second data.

The angular power spectrum is a representation of the wireless channel multipath information determined by the server. The angular power spectrum includes path angles and path strengths of propagation paths from antennas in the angular power spectrum cell to the grid. The antennas in the angular power spectrum cell are antennas that transmit downlink beams, and the antennas may be antenna arrays.

The network device determines, for each second data in the plurality of second data, an angle power spectrum from the angle power spectrum cell indicated by each angle power spectrum cell identifier to the grid indicated by each grid identifier according to the second data and the cell configuration information of the angle power spectrum cell corresponding to the second data. Specifically, step S3 includes the following steps:

s31, the network equipment determines the beam gain of each beam of the angle power spectrum cell according to the antenna gain of the angle power spectrum cell and the antenna port weight of each beam of the angle power spectrum cell.

And S32, the network equipment determines the target path strength according to the beam gain of each beam of the angle power spectrum cell and the second data.

And S33, the network equipment determines the angle power spectrum from the angle power spectrum cell indicated by the angle power spectrum cell identifier to the grid indicated by the grid identifier according to the target path strength.

The antenna gain of the angle power spectrum cell and the antenna port weight of each beam of the angle power spectrum cell (representing the vertical angle information and the horizontal angle information of each beam) are recorded in an antenna file of the radio access network device. The server can obtain the information by obtaining the antenna file of the wireless access network equipment, and determine the beam gain of each beam of the angular power spectrum cell based on the information. The beam gains of the respective beams of the angular power spectrum cell in the respective angular directions, such as the horizontal angle and the vertical angle, may constitute a beam gain matrix.

When the network equipment determines the target path strength, the sparse optimization problem shown in the formula (3) is actually solved. By solving the sparse optimization problem, the server can obtain the target path strength (i.e., the path strength matrix in equation (3)).

The dimension of the path intensity matrix is the same as the number of the horizontal and vertical discretization angles of each wave beam of the angle power spectrum cell. The ith row and jth column element of X is X _i,j ，X _i,j Path strengths (in dB) representing paths in the horizontal i direction and the vertical j direction after angle discretization, i ∈ [0,359],j∈[0,180]. λ is a regular term coefficient, and a is a beam gain matrix representing the beam gain of each beam in each angular direction. The RSRP is a vector, and is obtained by normalizing the statistics of the multi-beam RSRP in a linear domain and enabling the average value to be 1 watt. It will be appreciated that an angular power spectrum cell corresponds to a path strength matrix X. Since RSRP is associated with the serving cell ID, the grid ID, and the angular power spectrum cell, the path strength matrix X is also associated with the serving cell ID, the grid ID, and the angular power spectrum cell according to equation (3).

After the server obtains the path strength matrix X, the server may determine, according to X, an angle power spectrum from the angle power spectrum cell indicated by each angle power spectrum cell identifier to the grid indicated by each grid identifier in the second data. The specific implementation mode is as follows: the server obtains all non-zero elements in the path strength matrix X, and the total number of the non-zero elements is the number of the paths. For each non-zero element (i.e. each path), the server maps the i direction and the i direction after the angle discretization into a path horizontal dimension angle and a path vertical dimension angle (in units of radian respectively). That is, a set of path horizontal dimension angles and path vertical dimension angles characterize a path. For example, table 5 is an angle power spectrum output table provided in the embodiment of the present application. Each row in table 5 represents a path. An angle power spectrum number indicates an angle power spectrum in which one or more paths may be included.

Table 5: angle power spectrum output meter

(II) acquiring the center coordinates of the grids and the flow of the grids

The network device may acquire the traffic information corresponding to the corresponding grid in the following manners:

1) A network device acquires a first set of data comprising a plurality of data acquired over a first time period, each data comprising a traffic measurement and level measurements for n beams.

Wherein the first data set may include MRs collected over a first time period. For example, the first set of data may include MRs collected over one or two weeks, or the first set of data may include MRs collected over a day, or the first set of data may include MRs collected over an hour. The network device may divide the collected data into data sets corresponding to a plurality of time periods according to the generation time in the MR, to obtain a plurality of data sets, and the first data set may be one of the plurality of data sets. In addition, the first data set is an MR collected for one cell in the first time period, and the cell corresponding to the first data set is the same as the cell corresponding to the plurality of grids in the n-dimensional beam space.

For example, the first set of data comprises K data, and the first set of data may be, for example, thpMat ₁ Shown by ThpMat ₁ Electric potential extractable level matrix L ₁ 。

Wherein, thpMat ₁ Each row in (a) may correspond to a generation time, a traffic measurement (upstream traffic measurement and/or downstream traffic measurement) and a level measurement of n beams comprised by one MR, K being the number of data comprised by the first set of data. Level matrixL ₁ Each row of (a) is a level measurement of the n beams. Wherein, time _1,1 …time _K,1 All belong to the first time period.

2) And the network equipment determines a second data set associated with a third grid in the first data set according to the level measurement values of the n beams of each data and the center coordinates of the third grid, wherein the center coordinates of the third grid are represented by the level values of the n beams.

Wherein the third grid may be any one of a plurality of grids in the n-dimensional beam space, or the third grid may be a specific one of the plurality of grids in the n-dimensional beam space. It is understood that the n beams in the present embodiment are a plurality of beams in the foregoing. The network device may determine a plurality of grids in the n-dimensional beam space and a center coordinate corresponding to each grid by:

step 1: a network device obtains a training data set, which includes M samples.

The training data set may include MRs collected over a preset time period, for example, the training data set may include MRs collected over one or two weeks. It should be noted that the training data set is the MRs collected for one cell within a preset time period. Therefore, the plurality of grids in the finally determined n-dimensional beam space are a plurality of grids corresponding to the cell.

In one case, the training data set includes M samples, each sample including level measurements for n beams. For example, the network device may determine a training data set from the M MRs as shown by a matrix L of level measurements. If one MR includes level measurements for n beams (i.e., RSRP for n beams), the level measurements for the n beams are directly used as a row in the level measurement matrix L. If one MR includes level measurement values of p beams, it is necessary to write the level measurement values of the p beams into level measurement values of n beams, specifically, set the level measurement values corresponding to the n-p beams except the p beams as 0, and then use the obtained level measurement values of the n beams as a row in a level measurement value matrix L.

Wherein each row in the level measurement matrix L may correspond to level measurements of n beams in one MR, the level measurement matrix L indicating M sets of level measurements.

In another case, the training data set includes M samples, each sample including a traffic measurement and level measurements for n beams, where the traffic measurement may include an uplink traffic measurement and/or a downlink traffic measurement. For example, the network device may determine a set of training data from the M MRs as shown by the traffic matrix ThpMat.

Where each row in the flow matrix ThpMat may correspond to a flow measurement in one MR and a level measurement for n beams. If the MR only includes dlthp and does not include ulthp, then ulthp may be set to 0. Similarly, if the MR only includes ulthp and does not include dlthp, dlthp may be set to 0. The flow matrix ThpMat may also include a time value time, or may not include the time value time, which is not limited in this embodiment of the present application. The level measurement value matrix L may also be extracted from the traffic matrix ThpMat.

Step 2: the network equipment obtains a distance set corresponding to the training data set according to the training data set, wherein the distance set comprises distances of level measurement values of n beams of any two samples in the M samples.

For example, a distance matrix R (the distance matrix R is M × M dimensions) is calculated with the level measurement value matrix L or the flow matrix ThpMat as an input, wherein,

R _ij ＝dist(L _i,. ,L _j,. ),

wherein R is _ij Indicating the level measurement of the n beams contained in the ith sample and the n contained in the jth sample in the level measurement matrix L or the flow matrix ThpMatThe distance of the level measurements of the individual beams, or again, can be described as the distance between the beam space location corresponding to the ith sample and the beam space location corresponding to the jth sample. The distance dist may be defined as a euclidean distance of the beam space or other distances, which is not limited in this embodiment of the present application. Wherein the distance matrix R includes some repeating elements, e.g. R _ij ＝R _ji Also included are distances determined from the same sample, e.g. R _ii And =0. The distance set corresponding to the training data set includes M (M-1)/2 distances, the distance matrix R is only one expression form of the distance set corresponding to the training data set, and the distance set corresponding to the training data set may also adopt other expression forms.

Wherein L is _i,. Refers to the level measurement of the n beams in the ith row in the level measurement matrix L, i.e. { rsrp _i,1 ,rsrp _i,e ,…,rsrp _i,n }，L _j,· Refers to the level measurement of the n beams in the jth row in the level measurement matrix L, i.e. { rsrp _j,1 ,rsrp _j,e ,…,rsrp _j,n }. Or, L _i,· Refers to the level measurements of the n beams in the ith row of the traffic matrix ThpMat, i.e. { rsrp _i,1 ,rsrp _i,2 ,…,rsrp _i,n }，L _j,· Refers to the level measurements of the n beams in the jth row of the traffic matrix ThpMat, i.e., { rsrp _j,1 ,rsrp _j,2 ,…,rsrp _j,n }。

And step 3: and the network equipment determines the grid index corresponding to each sample in the M samples according to the distance set.

In some embodiments, a preset clustering algorithm is used to determine the grid index corresponding to each sample according to the distance set corresponding to the training data set. The preset clustering algorithm may refer to a distance-type clustering method (such as Kmeans), which is not limited in the embodiment of the present application.

Specifically, the grid index corresponding to each sample can be determined by adopting a preset distance clustering algorithm according to the distance matrix R. And may specifically be represented by a grid index matrix Label. Label of grid index matrixCan be a1 xM dimensional matrix, label _i Refers to the lattice index, label, corresponding to the ith sample _i Is an integer (1. Ltoreq. Label) _i M') or less, the corresponding label of the ith sample _i And the value of the indicated grid, wherein M '< M, M' can be determined according to an empirical value or according to the actually required grid range size. It can be understood that the smaller the value of m ', the larger the range of each grid is, and the larger the value of m', the smaller the range of each grid is.

Wherein the samples with the same grid index belong to the same grid, for example, the labels corresponding to the 2 nd sample, the 5 th sample and the 10 th sample respectively ₂ 、label ₅ 、label ₁₀ Assume the same value, label ₂ ＝label ₅ ＝label ₁₀ =3, then the 2 nd sample, the 5 th sample, and the 10 th sample are assigned to the grid with grid index of 3 (i.e. the 3 rd grid).

It is understood that, through step 3, since 1. Ltoreq. Label _i M ', the grid index matrix Label indicates the distribution of the M samples in the M' grids. It should be noted that the m 'grids may be finally determined grids, that is, the number of the grids may be m', or the m 'grids may not be finally determined grids, in this case, the m' grids are m 'candidate grids, and further screening is required, and the number of the finally determined grids may be smaller than m'. The two cases will be described separately below (see example 1 and example 2 below for details), and are not described here again.

And 4, step 4: the network device determines the center coordinates and radius of each grid.

How to determine the plurality of grids included in the n-dimensional beam space, and the center coordinates and the radius of each grid are described below with reference to examples 1 and 2, according to the specific content included in the training data set.

Example 1: if the training data set includes M samples, each sample includes level measurements for n beams, excluding traffic measurements. After step 3, the m' grids determined by the preset distance clustering algorithm according to the distance matrix R are the multiple grids included in the finally determined n-dimensional beam space.

The center coordinates of each grid may be determined from the level measurements of the n beams comprised by each of the samples corresponding to the grid. In an example, taking a grid corresponding to the grid index i as an example, an average value of level measurements of n beams is calculated according to level measurements of n beams included in each of samples corresponding to the grid index i, and the average value of the level measurements of the n beams is recorded as a center coordinate of the ith grid.

The radius of each grid may be a predetermined value, which may be determined empirically, for example. Alternatively, the radius of each grid may be determined according to the level measurement values of the n beams included in each of the samples corresponding to the grid and the center coordinates of the grid. In one example, the radius of the ith grid is determined according to the level measurement values of the n beams included in each sample of the samples corresponding to the grid index i and the center coordinates of the ith grid. In another example, the radius of the ith grid is determined according to the maximum distance in the radius set formed by the distance determined by the level measurement of the n beams included in each of the samples corresponding to grid index i and the center coordinate of the ith grid. For example, the radius of the ith grid is the maximum distance in the set of radii, or the radius of the ith grid is the sum of the maximum distance in the set of radii and the preset distance, or the radius of the ith grid is the difference between the maximum distance in the set of radii and the preset distance.

The method shown in example 1 is adopted to determine a plurality of grids included in the n-dimensional beam space, and the center coordinates and the radius of each grid, so that the scheme is simple and easy to implement. Because the central coordinate of each grid is the average value of the level measurement values of a plurality of samples, the spatial position of the flow is represented by the central coordinate of the grid, the influence of noise and measurement errors on the space can be reduced, and the spatial position of the flow has more statistical significance.

Example 2: if the training data set comprises M samples, each sample comprises a flow measurement value and n beam level measurement values, after step 3, M 'grids determined by a preset distance clustering algorithm according to the distance matrix R are not multiple grids included in the finally determined n-dimensional beam space, the M' grids determined after step 3 are M 'candidate grids, and the M' candidate grids are screened according to the flow measurement values included in each sample to obtain multiple grids included in the finally determined n-dimensional beam space.

Wherein the traffic measurements in each sample comprise upstream traffic measurements and/or downstream traffic measurements. And the uplink flow statistic value of the ith candidate grid is the sum of the uplink flow values of the samples including the uplink flow measurement value corresponding to the ith candidate grid. And the downlink traffic statistic value of the ith candidate grid is the sum of the downlink traffic values of the samples including the downlink traffic measurement value corresponding to the ith candidate grid. Or the uplink flow statistic value of the ith candidate grid is the uplink flow average value corresponding to the sample corresponding to the ith candidate grid. And the downlink flow statistic value of the ith candidate grid is the downlink flow average value corresponding to the sample corresponding to the ith candidate grid.

For example, the 4 th candidate grid includes 5 samples, where the sample 1, the sample 3, and the sample 4 include downlink traffic measurement values, the sample 2 includes uplink traffic measurement values, and the sample 5 includes uplink traffic measurement values and downlink traffic measurement values, then the uplink traffic statistic value of the 4 th candidate grid is the sum of the uplink traffic measurement value included in the sample 2 and the uplink traffic measurement value included in the sample 5, and the downlink traffic statistic value of the 4 th candidate grid is the sum of the downlink traffic measurement value included in the sample 1, the downlink traffic measurement value included in the sample 3, the downlink traffic measurement value included in the sample 4, and the downlink traffic measurement value included in the sample 5. Or the uplink traffic statistic of the 4 th candidate grid is obtained by dividing the sum of the uplink traffic measurement value included in the sample 2 and the uplink traffic measurement value included in the sample 5 by 2, and the downlink traffic statistic of the 4 th candidate grid is obtained by dividing the sum of the downlink traffic measurement value included in the sample 1, the downlink traffic measurement value included in the sample 3, the downlink traffic measurement value included in the sample 4 and the downlink traffic measurement value included in the sample 5 by 4.

Illustratively, the flow measurement values in the M samples are summarized according to a grid index matrix Label to obtain flow statistics values corresponding to M 'candidate grids, and the flow statistics values of the M' candidate grids may be represented by the following uplink flow statistics value ULTHP and/or downlink flow statistics value DLTHP.

Wherein, ulthp _i 、dlthp _i Respectively representing the uplink flow statistic value of the ith candidate grid and the downlink flow statistic value of the ith candidate grid.

The uplink traffic statistic ULTHP includes m 'uplink traffic statistics, that is, uplink traffic statistics corresponding to m' candidate grids, respectively, and the downlink traffic statistic DLTHP includes m 'downlink traffic statistics, that is, uplink traffic statistics corresponding to m' candidate grids, respectively.

Specifically, the m' candidate grids may be screened in the following manner, to obtain a plurality of grids included in the finally determined n-dimensional beam space:

mode 1: and if the uplink flow statistic of the ith candidate grid meets a preset uplink flow threshold value and/or the downlink flow statistic of the ith candidate grid meets a preset downlink flow threshold value, taking the ith candidate grid as the finally determined grid.

The preset uplink flow threshold and the preset downlink flow threshold may be determined according to an empirical value or according to actual screening requirements. For example, when a candidate grid with a larger upstream flow statistic needs to be screened out, the preset upstream flow threshold may be increased.

Therefore, the uplink traffic statistics and/or the downlink traffic statistics corresponding to the m' candidate grids are determined according to the corresponding thresholds, and a plurality of grids included in the final n-dimensional beam space are determined.

Mode 2: according to the sequence of m 'uplink flow statistics from large to small, k1 uplink flow statistics are screened from m' uplink flow statistics, and according to the sequence of m 'downlink flow statistics from large to small, k2 downlink flow statistics are screened from m' downlink flow statistics. The ratio of the sum of k1 uplink traffic statistics to the uplink total traffic statistics is greater than or equal to a first threshold, the ratio of the sum of k2 downlink traffic statistics to the downlink total traffic statistics is greater than or equal to a second threshold, k1 and k2 are positive integers, the uplink total traffic statistics refers to the sum of uplink traffic values of samples including uplink traffic measurement values in M samples, wherein the downlink total traffic statistics refers to the sum of downlink traffic values of samples including downlink traffic measurement values in M samples, and the first threshold may be the same as or different from the second threshold, for example, the first threshold = the second threshold =0.8. And the ith uplink flow statistic in the m' uplink flow statistics is the sum of the uplink flow values of the samples including the uplink flow measured value in the sample corresponding to the ith candidate grid. An ith downlink traffic statistic in the m' downlink traffic statistics is a sum of downlink traffic values of samples including downlink traffic measurement values in a sample corresponding to the ith candidate grid.

In some embodiments, the grids are intersections of candidate grids corresponding to k1 uplink traffic statistics and candidate grids corresponding to k2 downlink traffic statistics. For example, if the k1 uplink traffic statistics include the uplink traffic statistics of the ith candidate grid, and the k2 downlink traffic statistics include the downlink traffic statistics of the ith candidate grid, the ith candidate grid is taken as the finally determined grid. For another example, if the k1 uplink traffic statistics include the uplink traffic statistics of the ith candidate grid, and the k2 downlink traffic statistics do not include the downlink traffic statistics of the ith candidate grid, the ith candidate grid is not the finally determined grid.

In some embodiments, the grids are a union of candidate grids corresponding to k1 uplink traffic statistics and candidate grids corresponding to k2 downlink traffic statistics. For example, if the k1 uplink traffic statistics include the uplink traffic statistics of the ith candidate grid, or the k2 downlink traffic statistics include the downlink traffic statistics of the ith candidate grid, the ith candidate grid is taken as the finally determined grid. For another example, if the k1 uplink traffic statistics do not include the uplink traffic statistics of the ith candidate grid, and the k2 downlink traffic statistics do not include the downlink traffic statistics of the ith candidate grid, the ith candidate grid is not the finally determined grid.

It should be noted that, after the determination of the multiple grids in the n-dimensional beam space is completed, the determined multiple grids may also be updated at preset time intervals, that is, the steps 1 to 4 are performed at regular time. Where a plurality of grids in the n-dimensional beam space are determined from the collected MRs for the first time, this may also be referred to as a grid initialization process. The determination of multiple grids in the n-dimensional beam space from the collected MRs is not the first time, and may also be referred to as a grid update process.

Specifically, the network device determines that the second data set associated with the third grid in the first data set may adopt, but is not limited to, the following ways:

mode 1: and the network equipment determines that the distance between the level measurement value of the n beams included in any data in the first data set and the center coordinate of the third grid is smaller than or equal to the radius of the third grid, and the data is the data in the second data set.

In one case, assuming that the n-dimensional beam space includes m grids and the first data set includes first data, the network device may sequentially calculate distances between the center coordinates of one grid and the level measurements of the n beams included in the first data according to the order of the grid indexes of the m grids. And when the distance between the level measurement values of the n beams included in the first data and the center coordinate of the third grid is smaller than or equal to the radius of the ith grid, determining that the first data is associated with the third grid, and the distances between the center coordinate of other grids before the third grid and the level measurement values of the n beams included in the first data are both larger than the corresponding radius. For example, assuming that the n-dimensional beam space includes 10 grids, distances between the center coordinates of one grid and the level measurement values of the n beams included in the first data may be sequentially calculated according to the order of the grid indexes of the 10 grids. When the distance between the level measurement values of the n beams included in the first data and the center coordinate of the 1 st grid is larger than the radius of the 1 st grid, determining that the first data is not associated with the 1 st grid, and continuously calculating the distance between the level measurement values of the n beams included in the first data and the center coordinate of the 2 nd grid. When the distance between the level measurement values of the n beams included in the first data and the center coordinate of the 2 nd grid is larger than the radius of the 2 nd grid, determining that the first data is not associated with the 2 nd grid, and continuously calculating the distance between the level measurement values of the n beams included in the first data and the center coordinate of the 3 rd grid. And when the distance between the level measurement values of the n beams included in the first data and the center coordinate of the 3 rd grid is smaller than or equal to the radius of the 3 rd grid, determining that the first data is associated with the 3 rd grid, and stopping continuously calculating the distance between the level measurement values of the n beams included in the first data and the center coordinate of the 4 th grid.

In another case, assuming that the N-dimensional beam space includes m grids, the first data set includes first data, distances between level measurement values of N beams included in the first data and center coordinates of N grids of the m grids are smaller than corresponding radii, N is greater than or equal to 2 and less than N, and N is a positive integer, the network device may select any one grid from the N grids as the grid associated with the first data. For example, the distance (denoted as distance 1) between the level measurement values of the n beams included in the first data and the center coordinate of the 1 st grid is smaller than the radius of the 1 st grid, the distance (denoted as distance 5) between the level measurement values of the n beams included in the first data and the center coordinate of the 5 th grid is smaller than the radius of the 5 th grid, and the distance (denoted as distance 11) between the level measurement values of the n beams included in the first data and the center coordinate of the 11 th grid is smaller than the radius of the 11 th grid, wherein any one of the 1 st grid, the 5 th grid and the 11 th grid is selected as the grid associated with the first data.

Mode 2: and the network equipment determines that the distance between the level measurement value of the n beams included in any data in the first data set and the center coordinate of the third grid is smaller than the distance between the level measurement value of the n beams and the center coordinate of other grids except the third grid in the plurality of grids, and the data is the data in the second data set.

For example, assuming that the n-dimensional beam space includes m grids, the first data set includes first data, the network device calculates distances between level measurement values of n beams included in the first data and center coordinates of each grid in the m grids, obtains m distances, and takes a grid corresponding to a minimum distance in the m distances as a grid associated with the first data. For example, if the grid corresponding to the minimum distance of the m distances is the ith grid, the ith grid is used as the grid associated with the first data.

Mode 3: the network device determines a third distance set, the third distance set includes distances between a center coordinate of any grid in center coordinates corresponding to each grid of the multiple grids and level measurement values of n beams included in the first data, the first data is data in the first data set, a fourth distance set is determined according to radii corresponding to each grid of the multiple grids and the third distance set, and the second data set is determined to include the first data when a minimum distance in the fourth distance set is a distance between the third grid and the level measurement values of n beams included in the first data. And any distance in the fourth distance set is smaller than the radius of the grid corresponding to the distance.

For example, assuming that the N-dimensional beam space includes m grids, the distances determined by the level measurement values of the N beams included in the first data and the center coordinates of N grids among the m grids are each smaller than the corresponding radius, 2 ≦ N < N, where N is a positive integer, the grid corresponding to the minimum distance is selected as the grid associated with the first data. For example, the first data includes n beam level measurement values whose distance (denoted as distance 1) from the center coordinate of the 1 st grid is smaller than the radius of the 1 st grid, the first data includes n beam level measurement values whose distance (denoted as distance 5) from the center coordinate of the 5 th grid is smaller than the radius of the 5 th grid, and the first data includes n beam level measurement values whose distance (denoted as distance 11) from the center coordinate of the 11 th grid is smaller than the radius of the 11 th grid, where, among the distance 1, the distance 5, and the distance 11, the distance 11 is the smallest, and the 11 th grid is the grid associated with the first data.

3) The network device determines traffic statistics corresponding to the third grid over the first time period based on traffic measurements included in each of the second set of data.

Since the traffic measurement value in each data includes the uplink traffic measurement value and/or the downlink traffic measurement value, the traffic statistical result includes the uplink traffic statistical result and/or the downlink traffic statistical result. The uplink traffic statistics are determined from data in the second data set that includes the uplink traffic measurements, and the downlink traffic statistics are determined from data in the second data set that includes the downlink traffic measurements. For example, the network device may sum the upstream traffic measurements included in the second set of data as upstream traffic statistics corresponding to the third grid over the first time period. The network device may sum the downlink traffic measurements included in the second set of data as downlink traffic statistics corresponding to the third raster over the first time period.

After determining the cooperation set corresponding to each grid through the embodiment shown in fig. 3, when the user equipment has a transmission service, the serving cell may perform cooperative transmission on the service of the user equipment according to the cooperation cell corresponding to the grid where the user equipment is located. For the sake of understanding, the following description will be made with reference to the accompanying drawings.

Referring to fig. 4, which is a flowchart of a cooperative cell determination method provided in an embodiment of the present application, as shown in fig. 4, the method may include:

s401: the first wireless access device receives reference signal received power of a plurality of downlink beams transmitted by user equipment.

In this embodiment, a serving cell corresponding to the ue is a first cell, where the first cell corresponds to the first radio access device, and the ue may periodically send reference signal received powers of a plurality of downlink beams to the first radio access device. The reference signal received power of the plurality of downlink beams refers to the reference signal received power of each downlink beam in the plurality of downlink beams. For example, if the ue sends the reference signal received powers of n downlink beams to the first radio access device, the received reference signal received power of each downlink beam in the n downlink beams, that is, the n reference signal received powers, is received. The downlink beam may be CSI.

S402: the first wireless access device determines a target grid of the user equipment in a beam space according to the reference signal received power of the plurality of downlink beams.

After receiving the reference signal received power of a plurality of downlink beams sent by the user equipment, the first radio access device determines a target grid in which the user equipment is located in a beam space according to the reference signal received power of the plurality of downlink beams.

Specifically, the first radio access device obtains the distance between the user equipment and each grid according to the reference signal receiving power of the plurality of downlink beams and the center coordinate of each grid; the first wireless access device determines a target grid of the user equipment in the beam space according to the distance between the user equipment and each grid. Specifically, the grid corresponding to the minimum distance may be determined as the target grid of the user equipment in the beam space. The center coordinates of the grid are represented by reference signal received powers of multiple beams, and the reference signal received powers of the multiple beams may be reference signal received powers of multiple uplink beams or reference signal received powers of multiple downlink beams.

In an example, to reduce the overhead of the first radio access device and avoid that the first radio access device performs operations such as S402 and the like after receiving reference signal received powers of a plurality of downlink beams reported by the user equipment each time, a processing period may be configured on the first radio access device in advance, and the first radio access device performs operations such as S402 and the like only when the processing period is satisfied. Specifically, after receiving reference signal received powers of a plurality of uplink beams, a first radio access device determines whether time for receiving the reference signal received powers of the plurality of uplink beams satisfies a preset period; and when the preset period is met, the first wireless access device determines a target grid of the user equipment in a beam space according to the reference signal receiving power of the plurality of uplink beams. For example, the period of reference signal received power of multiple downlink beams reported by the ue is configured in advance to be N, and the first access device determines the target grid where the ue is located only after receiving the multi-beam CSI RSRP reported by the ue for the tN-th time, where t is a positive integer.

S403: the first wireless access device determines a first cooperation set corresponding to the target grid.

In this embodiment, after the first radio access device determines the target grid of the user equipment in the beam space, the first radio access device may determine the first cooperation set corresponding to the target grid according to the identifier of the target grid and the corresponding relationship between the identifier of the target grid and the first cooperation set. The first cooperation set corresponding to the target grid is determined according to the spectral efficiency corresponding to the target grid, which may specifically refer to the embodiment shown in fig. 3. The first cooperating set includes one or more second cells that are neighbor cells of the serving cell. The first radio access device may obtain, in advance, a correspondence between an identifier including the target grid and the first cooperation set from the network device. And the identification of the target grid is the center coordinate of the target grid.

S404: and the first wireless access device sends a cooperation message to a second wireless access device corresponding to each of one or more second cells, so that the second wireless access device performs cooperation transmission on the service of the user equipment.

In this embodiment, after determining the first cooperation set, the first radio access device sends a cooperation message to the second radio access devices corresponding to the second cells included in the first cooperation set, so that all the second cells perform cooperative transmission on the service of the user equipment.

After determining the first cooperation set, the first wireless apparatus may first determine whether the user equipment is in a cooperation transmission state, and if the user equipment is in the cooperation transmission state, the first wireless apparatus further needs to determine whether a second cooperation set enabling the user equipment to be in the cooperation transmission state is consistent with the first cooperation set, and if the second cooperation set is consistent with the first cooperation set, the first wireless apparatus does not need to send the cooperation message again. And if the second cooperation set is inconsistent with the first cooperation set, the first wireless access device sends a cooperation message to a target second cell, wherein the target second cell is included in the first cooperation set and not included in the second cooperation set. Meanwhile, the first radio access device further needs to send a cooperation stopping message to a third radio access device corresponding to a third cell, where the third cell is included in the second cooperation set and is not included in the first cooperation set. For example, the serving cell is a cell m, before the first cooperation set is determined, the ue is already in a cooperation transmission state, the corresponding second cooperation set includes cells a2 and a3, and the first cooperation set includes cells a1 and a2, then the first radio access apparatus sends a cooperation message to the cell a1, and sends a cooperation stop message to the cell a 3.

For facilitating understanding of implementation of the embodiment of the present application, refer to a schematic system architecture diagram shown in fig. 5, which illustrates a network device traffic sensing module, an angle power spectrum calculation module, a network intelligent coordination module, and a data storage module as examples.

The data storage module is used for storing data such as CSI RSRP of a serving cell, CSI RSRP of an adjacent cell, flow and transmitting power of the serving cell and the adjacent cell, and the data are fed back by UE in a period of historical events measured by a base station.

The flow sensing module is used for determining the center coordinates corresponding to each grid in the n-dimensional beam space and the flow information of each grid.

The angle power spectrum calculation module is used for calculating the angle power spectrum of each cell in each grid in the n-dimensional beam space.

The network intelligent cooperation module is used for obtaining flow information of each grid of each cell from the flow sensing module, obtaining angle power spectrum information of each grid of each cell from the angle power spectrum calculation module, and obtaining data such as CSI-RSRP of a plurality of beams corresponding to each cell in a certain time period, PRB, CSI-RSRP of a plurality of beams of a plurality of adjacent cells, a wireless access device corresponding to a serving cell and transmission power of a wireless access device corresponding to the plurality of adjacent cells from the data storage module. And obtaining interference and spectrum efficiency models of each grid in a beam space according to data such as flow information and angle power spectrum information of each grid of each cell, CSI-RSRP of a plurality of beams corresponding to each cell in a certain time period, PRB, CSI-RSRP of a plurality of beams of a plurality of adjacent cells corresponding to each cell, transmission power of a wireless access device corresponding to a serving cell, transmission power of a wireless access device corresponding to a plurality of adjacent cells and the like. With the aim of ensuring the flow balance of a plurality of cells and the highest average spectrum efficiency of all grids, obtaining the cooperation set information (including a grid center point and one or more cooperation cell identifications) corresponding to each grid of each cell according to the interference and spectrum efficiency model and sending the cooperation set information to the wireless access device of each service cell.

Based on the foregoing embodiments, an apparatus for determining a coordinated cell is provided in the embodiments of the present application, which will be described below with reference to the accompanying drawings.

Referring to fig. 6, which is a block diagram of a cooperative cell determining apparatus according to an embodiment of the present invention, as shown in fig. 6, the apparatus is configured to implement a function of a network device, and divide each cell of a first plurality of cells covered by a beam space into a plurality of grids, where the beam space is determined according to reference signal received powers of a plurality of beams, and the apparatus 600 includes: a first acquisition unit 601, a second acquisition unit 602, a third acquisition unit 603, and a transmission unit 604.

A first obtaining unit 601, configured to obtain, when any cell is used as a serving cell, spectrum efficiency of each grid in the serving cell.

A second obtaining unit 602, configured to obtain a total spectrum efficiency of each serving cell according to a spectrum efficiency of each grid in each serving cell.

A third obtaining unit 603, configured to obtain, according to a total spectrum efficiency of each serving cell, a cooperation set corresponding to a first grid in each serving cell, where the first grid is a grid corresponding to a second plurality of cells in the serving cell, and a cell in the cooperation set provides a transmission service for a user equipment located in the grid.

A sending unit 604, configured to send the cooperation set corresponding to the first grid to the radio access device corresponding to the serving cell, so that the cooperation cell of the serving cell is determined in the cooperation set corresponding to the first grid.

In a possible implementation manner, the second obtaining unit 602 is specifically configured to, for any serving cell, obtain a total spectrum efficiency of the serving cell according to a spectrum efficiency and a spectrum efficiency parameter of each grid in the serving cell.

In a possible implementation manner, the third obtaining unit 603 is specifically configured to determine an average spectral efficiency of each serving cell according to a total spectral efficiency corresponding to each serving cell and a cell number, where the cell number is a number of cells covered by the beam space; determining the value of the spectral efficiency parameter with the aim of maximizing the average spectral efficiency; and determining a cooperation set corresponding to the first grid in the service cell according to the value of the spectrum efficiency parameter.

In a possible implementation manner, the first obtaining unit 601 is specifically configured to, for the first grid in the serving cell, obtain a spectral efficiency of each cell in the second plurality of cells on the first grid; taking an average of the spectral efficiencies of the cells in the second plurality of cells on the first grid as the spectral efficiency of the first grid.

In a possible implementation manner, the first obtaining unit is specifically configured to obtain, for a second grid in the serving cell, a spectrum efficiency of the serving cell on the second grid, where the second grid is a grid in the serving cell that only corresponds to the serving cell; the spectral efficiency of the serving cell on the grid is taken as the spectral efficiency of the second grid.

In a possible implementation manner, the first obtaining unit 601 is specifically configured to obtain, when each cell in the second plurality of cells serves as a serving cell, an angular power spectrum from the serving cell to the grid, a transmission power of the serving cell, and interference of a neighboring cell corresponding to the serving cell to the first grid; and acquiring the spectral efficiency of the serving cell on the first grid according to the angle power spectrum, the interference and the transmitting power.

In a possible implementation manner, the first obtaining unit 601 is specifically configured to input the power spectrum, the interference, and the transmission power into a pre-trained neural network model, and output, by the neural network model, the spectral efficiency of the serving cell on the first grid, where the neural network model is generated according to training data and spectral efficiency corresponding to the training data, which are pre-trained.

In a possible implementation manner, the first obtaining unit 601 is specifically configured to obtain, for any neighboring cell, reference signal received power of a downlink beam corresponding to the neighboring cell sent by the user equipment; determining the interference of the neighbor cell to the grid according to the reference signal receiving power of the downlink wave beam corresponding to the neighbor cell and an effective flow probability, wherein the effective flow probability is the ratio of an effective flow value to a theoretical flow value of the neighbor cell within a preset time; and adding the interferences of all the adjacent cells to the grid to obtain the interferences of the adjacent cells corresponding to the cells to the grid.

In a possible implementation manner, the sending unit 604 is specifically configured to send a corresponding relationship between an identifier corresponding to the first grid and a cell identifier in the coordinated set to a wireless access apparatus corresponding to the serving cell.

It should be noted that the implementation of each unit in this embodiment may be described in relation to the embodiment shown in fig. 3, and this embodiment is not described herein again.

Referring to fig. 7, this figure provides a cooperative cell determining apparatus 700, where a first cell corresponds to the apparatus, and the apparatus may implement the function of the first radio access apparatus in the foregoing embodiment, and a serving cell corresponding to a user equipment is the first cell, where the apparatus 700 includes: a receiving unit 701, a determining unit 702, and a transmitting unit 703.

A receiving unit 701, configured to receive reference signal received powers of multiple downlink beams sent by the user equipment.

A determining unit 702, configured to determine a target grid of the user equipment in a beam space according to the reference signal received powers of the multiple downlink beams.

The determining unit 702 is further configured to determine a first cooperation set corresponding to the target grid, where the first cooperation set corresponding to the target grid is determined according to the spectrum efficiency corresponding to the target grid, and the first cooperation set includes one or more second cells, where the second cells are neighboring cells of the serving cell.

A sending unit 703 is configured to send a cooperation message to a second radio access apparatus corresponding to each of the one or more second cells, so that the second radio access apparatus performs cooperative transmission on the service of the user equipment.

In a possible implementation manner, the determining unit 702 is further configured to determine that the user equipment is not in a cooperative transmission state before sending a cooperation message to a second radio access apparatus corresponding to each of the one or more second cells.

In a possible implementation manner, the determining unit 702 is further configured to determine, before sending the cooperation message to the second radio access apparatus corresponding to each of the one or more second cells, that a second cooperation set that causes the user equipment to be in the cooperation transmission state is inconsistent with the first cooperation set when the user equipment is already in the cooperation transmission state.

In a possible implementation manner, the sending unit 703 sends a cooperation message to a target second cell, where the target second cell is included in the first cooperation set and is not included in the second cooperation set.

In a possible implementation manner, the sending unit 703 is further configured to send a cooperation stopping message to a third radio access apparatus corresponding to a third cell, where the third cell is included in the second cooperation set and is not included in the first cooperation set.

In a possible implementation manner, the determining unit 702 is further configured to obtain a distance between the user equipment and each grid according to the reference signal received powers of the multiple downlink beams and a center coordinate of each grid, where the center coordinate of each grid is represented by the reference signal received powers of the multiple beams; and determining a target grid of the user equipment in the beam space according to the distance between the user equipment and each grid.

In a possible implementation manner, the receiving unit 701 is further configured to receive a correspondence relationship between an identifier of the target grid and the first cooperation set, where the correspondence relationship is sent by a network device; the determining unit is further configured to determine a first collaboration set corresponding to the target grid according to the identifier of the target grid and the correspondence between the identifier of the target grid and the first collaboration set.

In a possible implementation manner, the determining unit 702 is further configured to determine that a time for receiving reference signal received powers of the multiple downlink beams satisfies a preset period; and determining a target grid of the user equipment in a beam space according to the reference signal receiving power of the plurality of downlink beams received in the preset period.

It should be noted that, for implementation of each unit in this embodiment, reference may be made to related description in the embodiment shown in fig. 4, and details of this embodiment are not repeated herein.

Fig. 8 is a schematic structural diagram of a network device provided in an embodiment of the present application, where the network device may be configured as the first radio access apparatus or the network device in the embodiments shown in fig. 3 to 4, or may be implemented by an apparatus of the apparatus 600 in the embodiment shown in fig. 6 or an apparatus 700 in the embodiment shown in fig. 7. .

Referring to fig. 8, a network device 800 includes at least a processor 810. Network device 800 may also include a communication interface 820 and a memory 830. Wherein the number of the processors 810 in the network device 800 may be one or more, and one processor is taken as an example in fig. 8. In the embodiment of the present application, the processor 810, the communication interface 820 and the memory 830 may be connected by a bus system or other means, wherein fig. 8 is exemplified by the connection via the bus system 840.

The processor 810 may be a CPU, an NP, or a combination of a CPU and an NP. The processor 810 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.

When the network device is a first radio access apparatus, the processor 810 may determine a target grid of the user equipment in the beam space according to the reference signal received powers of the multiple uplink beams and determine a recommended access cell corresponding to the target grid in the above method embodiment.

The communication interface 820 is used for receiving and transmitting messages, and particularly, the communication interface 820 may include a receiving interface and a transmitting interface. The receiving interface may be configured to receive a message, and the sending interface may be configured to send a message. The number of the communication interfaces 820 may be one or more.

Memory 830 may include volatile memory (RAM), such as random-access memory (RAM); the memory 830 may also include a non-volatile memory (SSD), such as a flash memory (flash memory), a hard disk (HDD) or a solid-state drive (SSD); the memory 830 may also comprise a combination of the above types of memory. The memory 830 may store the first BGP route, for example.

Optionally, memory 830 stores an operating system and programs, executable modules or data structures, or subsets thereof or extensions thereof, wherein the programs may include various operating instructions for performing various operations. The operating system may include various system programs for implementing various basic services and for handling hardware-based tasks. The processor 810 can read the program in the memory 830 to implement the serving cell switching method or the serving cell determining method provided in the embodiment of the present application.

The memory 830 may be a storage device in the network device 800, or may be a storage device independent from the network device 800.

The bus system 840 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus system 840 may be divided into an address bus, a data bus, a control bus, and so on. For ease of illustration, only one thick line is shown in FIG. 8, but that does not indicate only one bus or one type of bus.

Fig. 9 is a schematic structural diagram of another network device 900 provided in this embodiment, and the network device 800 may be configured as the first radio access apparatus or the network device in the embodiments shown in fig. 3 to fig. 4, or may also be an apparatus of the apparatus 600 in the embodiment shown in fig. 6 or an apparatus implementation of the apparatus 700 in the embodiment shown in fig. 7.

The network device 900 includes: a main control board 910 and an interface board 930.

The main control board 910 is also called a Main Processing Unit (MPU) or a route processor card (route processor card), and the main control board 910 controls and manages each component in the network device 900, including routing computation, device management, device maintenance, and protocol processing functions. The main control board 910 includes: a central processing unit 911 and a memory 912.

The interface board 930 is also referred to as a Line Processing Unit (LPU), a line card (line card), or a service board. The interface board 930 is used to provide various service interfaces and implement packet forwarding. The service interfaces include, but are not limited to, ethernet interfaces such as Flexible Ethernet services interfaces (FlexE Ethernet Clients), POS (Packet over SONET/SDH) interfaces, and the like. The interface board 930 includes: a central processor 931, a network processor 932, a forwarding table entry store 934, and a Physical Interface Card (PIC) 933.

The central processor 931 on the interface board 930 is used for controlling and managing the interface board 930 and communicating with the central processor 911 on the main control board 910.

The network processor 932 is configured to implement forwarding processing of the packet. The network processor 932 may take the form of a forwarding chip. Specifically, the processing of the uplink packet includes: processing a message input interface, and searching a forwarding table; and (3) downlink message processing: forwarding table lookups, etc.

The physical interface card 933 is used to implement the interfacing function of the physical layer, from which the original traffic enters the interface board 930, and the processed message is sent out from the physical interface card 933. Physical interface card 933 includes at least one physical interface, also referred to as physical ports. The physical interface card 933 is also called a daughter card, and may be installed on the interface board 930, and is responsible for converting the photoelectric signal into a message, performing validity check on the message, and forwarding the message to the network processor 932 for processing. In some embodiments, the central processor 931 of the interface board 930 may also perform the functions of the network processor 932, such as implementing software forwarding based on a general purpose CPU, so that the network processor 932 is not required in the physical interface card 933.

Optionally, the network device 900 includes a plurality of interface boards, for example, the network device 900 further includes an interface board 940, and the interface board 940 includes: central processor 941, network processor 942, forwarding entry store 944, and physical interface cards 943.

Optionally, network device 900 further includes a switch board 920. The switch board 920 may also be called a Switch Fabric Unit (SFU). In the case of a network device having a plurality of interface boards 930, the switch board 920 is used to complete data exchange between the interface boards. For example, interface board 930 and interface board 940 may communicate via switch board 920.

The master control board 910 and the interface board 930 are coupled. For example. The main control board 910, the interface board 930, the interface board 940, and the switch board 920 are connected to the system backplane through a system bus to realize intercommunication. In one possible implementation, an inter-process communication (IPC) channel is established between the main control board 910 and the interface board 930, and the main control board 910 and the interface board 930 communicate with each other through the IPC channel.

Logically, network device 900 includes a control plane including main control panel 910 and central processor 931 and a forwarding plane including various components that perform forwarding, such as forwarding table entry memory 934, physical interface card 933, and network processor 932. The control plane executes functions of a router, generating a forwarding table, processing signaling and protocol messages, configuring and maintaining the state of the equipment, and the like, issues the generated forwarding table to the forwarding plane, and in the forwarding plane, the network processor 932 looks up the table of the messages received by the physical interface card 933 based on the forwarding table issued by the control plane and forwards the messages. The forwarding table issued by the control plane may be stored in the forwarding table entry storage 934. In some embodiments, the control plane and the forwarding plane may be completely separate and not on the same device.

If the network device 900 is configured as the first radio access device, the central processor 911 may determine a target grid of the user equipment in the beam space according to the reference signal received powers of the multiple uplink beams, and determine a recommended access cell corresponding to the target grid. Network processor 932 may trigger physical interface card 933 to send a handoff instruction to the second wireless access device.

If the network device 900 is configured as a network device, the central processor 911 may determine a target grid of the user equipment in the beam space according to the reference signal received power according to the plurality of downlink beams; the first wireless access device determines a first cooperation set corresponding to the target grid. Network processor 932 may send the cooperation message to the second wireless access devices corresponding to the one or more second cells, respectively, through physical interface 933.

It should be understood that first acquisition unit 601, second acquisition unit 602, and third acquisition unit 603 in apparatus 600 may correspond to physical interface card 933 or physical interface card 943 in network device 900. The determining unit 702 or the like in the arrangement 700 may correspond to the central processor 911 or the central processor 931 in the network device 900.

It should be understood that operations on the interface board 940 in the embodiment of the present application are the same as the operations on the interface board 930, and for brevity, are not described again. It should be understood that the network device 900 of this embodiment may correspond to a controller or a network device in the foregoing method embodiments, and the main control board 910, the interface board 930, and/or the interface board 940 in the network device 900 may implement the functions of and/or the various steps implemented by the first radio access apparatus or the network device in the foregoing method embodiments, and are not described herein again for brevity.

It should be understood that there may be one or more main control boards, and when there are more main control boards, the main control boards may include an active main control board and a standby main control board. The interface board may have one or more blocks, and the stronger the data processing capability of the network device, the more interface boards are provided. There may also be one or more physical interface cards on an interface board. The exchange network board may not have, or may have one or more blocks, and when there are more blocks, the load sharing redundancy backup can be realized together. Under the centralized forwarding architecture, the network device does not need a switching network board, and the interface board undertakes the processing function of the service data of the whole system. Under the distributed forwarding architecture, the network device can have at least one switching network board, and the data exchange among a plurality of interface boards is realized through the switching network board, so that the high-capacity data exchange and processing capacity is provided. Therefore, the data access and processing capabilities of network devices in a distributed architecture are greater than those of devices in a centralized architecture. Optionally, the form of the network device may also be that there is only one board card, that is, there is no switching network board, and the functions of the interface board and the main control board are integrated on the one board card, at this time, the central processing unit on the interface board and the central processing unit on the main control board may be combined into one central processing unit on the one board card to perform the function after the two are superimposed, and the data exchange and processing capability of the network device is low (for example, network devices such as a low-end switch or a router, etc.). Which architecture is specifically adopted depends on the specific networking deployment scenario.

In some possible embodiments, the first wireless access apparatus or the network device may be implemented as a virtualized device. For example, the virtualized device may be a Virtual Machine (VM) running a program for sending messages, and the VM is deployed on a hardware device (e.g., a physical server). A virtual machine refers to a complete computer system with complete hardware system functionality, which is emulated by software, running in a completely isolated environment. The virtual machine may be configured as a first wireless access device or network appliance. For example, the first radio access device or Network device may be implemented based on a general physical server in combination with Network Function Virtualization (NFV) technology. The first wireless access device or network equipment is a virtual host, a virtual router or a virtual switch. A person skilled in the art can virtually generate a wireless access device or a network device having the above functions on the common physical server by combining the NFV technology through reading the present application, and details are not described herein again.

It should be understood that the network devices in the above various product forms respectively have any functions of the first radio access apparatus or the network device in the above method embodiments, and are not described herein again.

The embodiment of the application also provides a chip, which comprises a processor and an interface circuit, wherein the interface circuit is used for receiving the instruction and transmitting the instruction to the processor; a processor, which may be a specific implementation of apparatus 600 shown in fig. 6, for example, may be configured to perform the serving cell determination method described above. Wherein the processor is coupled to a memory for storing a program or instructions which, when executed by the processor, cause the system-on-chip to carry out the method of any of the method embodiments described above.

Optionally, the system on a chip may have one or more processors. The processor may be implemented by hardware or by software. When implemented in hardware, the processor may be a logic circuit, an integrated circuit, or the like. When implemented in software, the processor may be a general-purpose processor implemented by reading software code stored in a memory.

Optionally, the memory in the system on chip may also be one or more. The memory may be integrated with the processor or may be separate from the processor, which is not limited in this application. For example, the memory may be a non-transitory processor, such as a read only memory ROM, which may be integrated with the processor on the same chip or separately disposed on different chips, and the type of the memory and the arrangement of the memory and the processor are not particularly limited in this application.

The chip system may be a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), a system on chip (SoC), a Central Processor Unit (CPU), a Network Processor (NP), a Digital Signal Processor (DSP), a Microcontroller (MCU), a Programmable Logic Device (PLD) or other integrated chips.

The present application also provides a computer-readable storage medium, which includes instructions or a computer program, when the computer-readable storage medium runs on a computer, the computer is caused to execute the cooperative cell determination method provided in the foregoing embodiment.

Embodiments of the present application further provide a computer program product containing instructions or a computer program, which when run on a computer, cause the computer to execute the cooperative cell determination method provided in the foregoing embodiments.

The terms "first," "second," "third," "fourth," and the like in the description and claims of this application and in the above-described drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is only a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each service unit in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a hardware form, and can also be realized in a software service unit form.

The integrated unit, if implemented in the form of a software business unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Those skilled in the art will recognize that, in one or more of the examples described above, the services described in this disclosure may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the services may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

The above embodiments are intended to explain the objects, aspects and advantages of the present invention in further detail, and it should be understood that the above embodiments are merely illustrative of the present invention.

The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of cooperative cell determination, wherein each cell of a first plurality of cells covered by a beam space determined from reference signal received powers of a plurality of beams is divided into a plurality of grids, the method comprising:

when any cell is taken as a service cell, the network equipment acquires the frequency spectrum efficiency of each grid in the service cell;

the network equipment obtains the total spectrum efficiency of each service cell according to the spectrum efficiency of each grid in each service cell;

the network equipment obtains a cooperation set corresponding to a first grid in each service cell according to the total spectrum efficiency of each service cell, wherein the first grid is a grid corresponding to a plurality of second cells in the service cells, and the cells in the cooperation set provide transmission service for user equipment located in the grid;

and the network equipment sends the cooperation set corresponding to the first grid to the wireless access device corresponding to the serving cell, so that the cooperation cell of the serving cell is determined in the cooperation set corresponding to the first grid.

2. The method of claim 1, wherein the obtaining, by the network device, the total spectral efficiency of each serving cell according to the spectral efficiency of each grid in each serving cell comprises:

for any service cell, the network device obtains the total spectrum efficiency of the service cell according to the spectrum efficiency and the spectrum efficiency parameter of each grid in the service cell.

3. The method of claim 2, wherein the obtaining, by the network device, the cooperation set corresponding to the first grid in the serving cell according to the total spectrum efficiency of each serving cell comprises:

the network equipment determines the average spectrum efficiency of each service cell according to the total spectrum efficiency corresponding to each service cell and the cell number, wherein the cell number is the number of cells covered by the beam space;

the network equipment determines the value of the spectral efficiency parameter by taking the maximization of the average spectral efficiency as a target;

and the network equipment determines a cooperation set corresponding to the first grid in the service cell according to the value of the spectrum efficiency parameter.

4. The method according to any of claims 1-3, wherein the network device obtaining the spectral efficiency of each grid in the serving cell comprises:

for the first grid in the serving cell, the network device obtaining spectral efficiencies of cells in the second plurality of cells on the first grid;

the network device takes an average of the spectral efficiencies of the cells in the second plurality of cells on the first grid as the spectral efficiency of the first grid.

5. The method according to any of claims 1-4, wherein the network device obtaining the spectral efficiency of each grid in the serving cell comprises:

aiming at a second grid in the service cell, the network equipment acquires the spectrum efficiency of the service cell on the second grid, wherein the second grid is a grid which only corresponds to the service cell in the service cell;

the network device takes the spectral efficiency of the serving cell on the grid as the spectral efficiency of the second grid.

6. The method of claim 4, wherein the obtaining, by the network device, the spectral efficiency of each cell in the second plurality of cells on the first grid comprises:

when each cell in the second plurality of cells is used as a serving cell, the network device obtains an angle power spectrum from the serving cell to the grid, a transmission power of the serving cell, and interference of an adjacent cell corresponding to the serving cell to the first grid;

and the network equipment acquires the frequency spectrum efficiency of the serving cell on the first grid according to the angle power spectrum, the interference and the transmitting power.

7. The method of claim 6, wherein the network obtaining the spectral efficiency of the serving cell on the first grid from the angular power spectrum, the interference, and the transmit power comprises:

the network device inputs the power spectrum, the interference and the transmission power into a pre-trained neural network model, and the neural network model outputs the spectrum efficiency of the serving cell on the first grid, wherein the neural network model is generated by pre-training according to training data and the spectrum efficiency corresponding to the training data.

8. The method of claim 7, wherein the spectral efficiency corresponding to the training data is determined according to a traffic of the serving cell on the grid and a scheduled number of resource blocks of the serving cell on the grid.

9. The method according to any of claims 6-8, wherein the network device obtains the interference of the neighbor cell corresponding to the serving cell to the grid, comprising:

aiming at any adjacent cell, the network equipment acquires the reference signal receiving power of a downlink wave beam corresponding to the adjacent cell sent by the user equipment;

the network equipment determines the interference of the adjacent cell on the grid according to the reference signal receiving power of the downlink wave beam corresponding to the adjacent cell and an effective flow probability, wherein the effective flow probability is the ratio of an effective flow value to a theoretical flow value of the adjacent cell within a preset time;

and the network equipment adds the interferences of all the adjacent cells to the grid to obtain the interferences of the adjacent cells corresponding to the cells to the grid.

10. The method according to any of claims 1-9, wherein the network device sends the cooperation set corresponding to the first grid to the radio access device corresponding to the serving cell, and comprises:

and the network equipment sends the corresponding relation comprising the identifier corresponding to the first grid and the cell identifier in the cooperation set to the wireless access device corresponding to the service cell.

11. A method for determining a coordinated cell, wherein a first cell corresponds to a first radio access device, and a serving cell corresponding to a user equipment is the first cell, the method comprising:

the first radio access device receives reference signal received power of a plurality of downlink beams transmitted by the user equipment;

the first wireless access device determines a target grid of the user equipment in a beam space according to the reference signal received power of the plurality of downlink beams;

the first radio access device determines a first cooperation set corresponding to the target grid, wherein the first cooperation set corresponding to the target grid is determined according to the spectrum efficiency corresponding to the target grid, the first cooperation set comprises one or more second cells, and the second cells are adjacent to the serving cell;

and the first wireless access device sends a cooperation message to a second wireless access device corresponding to each of the one or more second cells, so that the second wireless access device performs cooperation transmission on the service of the user equipment.

12. The method of claim 11, wherein before the first radio access device sends the cooperation message to the second radio access device corresponding to each of the one or more second cells, the method further comprises:

the first radio access device determines that the user equipment is not in a cooperative transmission state.

13. The method according to claim 11 or 12, wherein before the first radio access device sends the cooperation message to the second radio access device corresponding to each of the one or more second cells, the method further comprises:

when the user equipment is already in the cooperative transmission state, the first radio access device determines that a second cooperation set causing the user equipment to be already in the cooperative transmission state is inconsistent with the first cooperation set.

14. The method of claim 13, wherein the transmitting, by the first radio access device, the cooperation message to the second radio access device corresponding to each of the one or more second cells comprises:

the first wireless access device sends a cooperation message to a target second cell, the target second cell being included in the first cooperation set and not included in the second cooperation set.

15. The method of claim 14, further comprising:

the first wireless access device sends a cooperation stopping message to a third wireless access device corresponding to a third cell, wherein the third cell is included in the second cooperation set and not included in the first cooperation set.

16. The method according to any of claims 11-15, wherein the first radio access device determining the target grid of the user equipment in beam space according to the reference signal received powers of the plurality of downlink beams comprises:

the first wireless access device obtains the distance between the user equipment and each grid according to the reference signal receiving power of the plurality of downlink beams and the center coordinate of each grid, wherein the center coordinate of each grid is represented by the reference signal receiving power of the plurality of beams;

and the first wireless access device determines a target grid of the user equipment in the beam space according to the distance between the user equipment and each grid.

17. The method according to any of claims 11-16, wherein the determining, by the first radio access device, the first cooperation set corresponding to the target grid comprises:

the first wireless access device receives a corresponding relation between the identification of the target grid and the first cooperation set, which is sent by network equipment;

and the first wireless access device determines a first cooperation set corresponding to the target grid according to the identification of the target grid and the corresponding relation between the identification of the target grid and the first cooperation set.

18. The method of claim 17, wherein the identification of the target grid is a center coordinate of the target grid.

19. The method according to any of claims 11-18, wherein the first radio access device determining the target grid of the user equipment in beam space according to the reference signal received powers of the plurality of downlink beams comprises:

the first wireless access device determines that the time for receiving the reference signal received power of the plurality of downlink beams meets a preset period;

and the first radio access device determines a target grid of the user equipment in a beam space according to the reference signal receiving power of the downlink beams received in the preset period.

20. The method according to any of claims 11-19, wherein the reference signal received power of the plurality of downlink beams is the channel state information reference signal received power of the plurality of downlink beams.

21. A cooperative cell determination apparatus, wherein each cell of a first plurality of cells covered by a beam space determined from reference signal received powers of a plurality of beams is divided into a plurality of grids, the apparatus comprising:

a first obtaining unit, configured to obtain, when any cell serves as a serving cell, spectrum efficiency of each grid in the serving cell;

a second obtaining unit, configured to obtain a total spectrum efficiency of each serving cell according to a spectrum efficiency of each grid in each serving cell;

a third obtaining unit, configured to obtain, according to a total spectrum efficiency of each serving cell, a cooperation set corresponding to a first grid in each serving cell, where the first grid is a grid corresponding to a second plurality of cells in the serving cell, and a cell in the cooperation set provides a transmission service for a user equipment located in the grid;

a sending unit, configured to send the cooperation set corresponding to the first grid to the radio access device corresponding to the serving cell, so that the cooperation cell of the serving cell is determined in the cooperation set corresponding to the first grid.

22. The apparatus of claim 21, wherein the second obtaining unit is specifically configured to, for any serving cell, obtain the total spectral efficiency of the serving cell according to the spectral efficiency and the spectral efficiency parameter of each grid in the serving cell.

23. The apparatus of claim 22, wherein the third obtaining unit is specifically configured to determine an average spectral efficiency of each serving cell according to a total spectral efficiency corresponding to each serving cell and a cell number, where the cell number is a number of cells covered by the beam space; determining the value of the spectral efficiency parameter with the aim of maximizing the average spectral efficiency; and determining a cooperation set corresponding to the first grid in the service cell according to the value of the spectrum efficiency parameter.

24. The apparatus according to any of claims 21-23, wherein the first obtaining unit is specifically configured to, for the first grid in the serving cell, obtain a spectral efficiency of each cell in the second plurality of cells on the first grid; taking an average of the spectral efficiencies of the cells in the second plurality of cells on the first grid as the spectral efficiency of the first grid.

25. The apparatus according to any of claims 21 to 24, wherein the first obtaining unit is specifically configured to obtain, for a second grid in the serving cells, a spectral efficiency of the serving cell on the second grid, where the second grid is a grid in the serving cells that corresponds to only the serving cell; taking the spectral efficiency of the serving cell on the grid as the spectral efficiency of the second grid.

26. The apparatus according to claim 24, wherein the first obtaining unit is specifically configured to, when each cell in the second plurality of cells serves as a serving cell, obtain an angular power spectrum from the serving cell to the grid, a transmit power of the serving cell, and interference of a neighboring cell corresponding to the serving cell on the first grid; and acquiring the spectral efficiency of the serving cell on the first grid according to the angle power spectrum, the interference and the transmitting power.

27. The apparatus of claim 26, wherein the first obtaining unit is specifically configured to input the power spectrum, the interference, and the transmission power into a pre-trained neural network model, and output, by the neural network model, the spectral efficiency of the serving cell on the first grid, where the neural network model is generated by pre-training according to training data and the spectral efficiency corresponding to the training data.

28. The apparatus of claim 27, wherein the spectral efficiency corresponding to the training data is determined according to traffic of the serving cell on the grid and a scheduled number of resource blocks of the serving cell on the grid.

29. The apparatus according to any one of claims 26 to 28, wherein the first obtaining unit is specifically configured to, for any neighboring cell, obtain a reference signal received power of a downlink beam corresponding to the neighboring cell, where the downlink beam is sent by the user equipment; determining the interference of the neighbor cell on the grid according to the reference signal receiving power of the downlink wave beam corresponding to the neighbor cell and an effective flow probability, wherein the effective flow probability is the ratio of an effective flow value to a theoretical flow value of the neighbor cell within a preset time; and adding the interferences of all the adjacent cells to the grid to obtain the interferences of the adjacent cells corresponding to the cell to the grid.

30. The apparatus according to any one of claims 21 to 29, wherein the sending unit is specifically configured to send a correspondence relationship, which includes an identifier corresponding to the first grid and a cell identifier in the coordinated set, to the radio access apparatus corresponding to the serving cell.

31. A device for determining a coordinated cell, wherein a first cell corresponds to the device, and a serving cell corresponding to a user equipment is the first cell, the method comprising:

a receiving unit, configured to receive reference signal received powers of a plurality of downlink beams sent by the user equipment;

a determining unit, configured to determine a target grid of the user equipment in a beam space according to the reference signal received powers of the multiple downlink beams;

the determining unit is further configured to determine a first cooperation set corresponding to the target grid, where the first cooperation set corresponding to the target grid is determined according to the spectral efficiency corresponding to the target grid, and the first cooperation set includes one or more second cells, where the second cells are neighboring cells of the serving cell;

a sending unit, configured to send a cooperation message to a second radio access apparatus corresponding to each of the one or more second cells, so that the second radio access apparatus performs cooperative transmission on a service of the user equipment.

32. The apparatus of claim 31, wherein the determining unit is further configured to determine that the ue is not in the cooperative transmission state before sending the cooperation message to the second radio access apparatus corresponding to each of the one or more second cells.

33. The apparatus of claim 31 or 32, wherein the determining unit is further configured to determine, before sending a cooperation message to a second radio access apparatus corresponding to each of the one or more second cells, that a second cooperation set that causes the user equipment to be in the cooperation transmission state is inconsistent with the first cooperation set when the user equipment is already in the cooperation transmission state.

34. The apparatus of claim 33, wherein the sending unit sends the cooperation message to a target second cell, and wherein the target second cell is included in the first cooperation set and not included in the second cooperation set.

35. The apparatus of claim 34, wherein the sending unit is further configured to send a stop cooperation message to a third radio access device corresponding to a third cell, where the third cell is included in the second cooperation set and not included in the first cooperation set.

36. The method according to any of claims 31-35, wherein said determining unit is further configured to obtain the distance between the user equipment and each grid according to the reference signal received powers of the multiple downlink beams and the center coordinate of each grid, where the center coordinate of each grid is represented by the reference signal received powers of the multiple beams; and determining a target grid of the user equipment in the beam space according to the distance between the user equipment and each grid.

37. The apparatus according to any one of claims 31 to 36, wherein the receiving unit is further configured to receive a correspondence relationship between an identifier of the target grid and the first cooperation set, which is sent by a network device;

the determining unit is further configured to determine a first collaboration set corresponding to the target grid according to the identifier of the target grid and a correspondence between the identifier of the target grid and the first collaboration set.

38. The apparatus of claim 37, wherein the identification of the target grid is a center coordinate of the target grid.

39. The apparatus according to any of claims 31-38, wherein the determining unit is further configured to determine that a time for receiving the reference signal received powers of the plurality of downlink beams satisfies a preset period; and determining a target grid of the user equipment in a beam space according to the reference signal receiving power of the plurality of downlink beams received in the preset period.

40. The apparatus according to any of claims 31-39, wherein the reference signal received powers of the plurality of downlink beams are CSI-RS received powers of the plurality of downlink beams.

41. A communication device, the device comprising: a processor and a memory;

the memory for storing instructions or computer programs;

the processor configured to execute the instructions or the computer program in the memory to cause the communication device to perform the method of any one of claims 1-10.

42. A communication device, the device comprising: a processor and a memory;

the memory for storing instructions or computer programs;

the processor configured to execute the instructions or the computer program in the memory to cause the communication device to perform the method of any one of claims 11-20.

43. A computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 10 above, or to perform the method of any one of claims 11 to 20 above.