CN-121357680-B - Method and system for determining beam weight based on uplink

CN121357680BCN 121357680 BCN121357680 BCN 121357680BCN-121357680-B

Abstract

The application relates to a beam weight determining method based on an uplink, which comprises the steps of obtaining user equipment measurement data of a target cell and a target cell neighboring cell, wherein the user equipment measurement data comprises uplink path loss, time advance and space azimuth information of a user, constructing an equivalent uplink distance model according to the uplink path loss, the time advance and the space azimuth information, taking a statistical value of an optimized equivalent uplink distance as a target, determining a target beam weight of a base station antenna based on the equivalent uplink distance model and a gradient sensing particle swarm optimization algorithm, and transmitting the target beam weight to a base station antenna array. The application solves the problem of poor uplink quality caused by inaccurate beam weight, directly optimizes the uplink based on uplink primary data, and avoids the deviation of uplink performance optimization by using downlink data. And an equivalent uplink distance model is constructed, so that the problem that the optimization dimension is single and complex uplink requirements cannot be met is avoided.

Inventors

Li Tajiang
FANG DAN

Assignees

华信咨询设计研究院有限公司

Dates

Publication Date: 20260508
Application Date: 20251216

Claims (9)

1. A method for determining a beam weight based on an uplink, the method comprising: acquiring user equipment measurement data of a target cell and a target cell neighbor cell, wherein the user equipment measurement data comprises uplink path loss, time advance and space orientation information of a user; according to the uplink path loss, the time advance and the space azimuth information, an equivalent uplink distance model is constructed, and the method comprises the following steps: normalizing the uplink path loss to obtain normalized path loss; normalizing the time advance to obtain a normalized time advance; Calculating the space mismatching degree of the wave beam based on the space azimuth information and the main lobe direction of the current antenna wave beam; Weighting and fusing the normalized path loss, the normalized time advance and the beam space mismatch degree to generate the equivalent uplink distance model; And determining a target beam weight of a base station antenna based on the equivalent uplink distance model and a gradient sensing particle swarm optimization algorithm by taking the statistical value of the equivalent uplink distance as a target, and transmitting the target beam weight to a base station antenna array.
2. The method of claim 1, wherein the spatial orientation information comprises a horizontal angle of arrival and a vertical angle of arrival, and wherein the equivalent upstream distance model comprises: Wherein D eq is the equivalent uplink distance, PL norm is the normalized uplink path loss, TA norm is the time advance, G (θ h ,θ v ) is the beam space mismatch function, θ h is the horizontal arrival angle, θ v is the vertical arrival angle, and α, β, γ are weighting coefficients.
3. The method of claim 1, wherein the targeting of optimizing the statistics of equivalent upstream distances comprises: targeting the average of the minimum equivalent uplink distance for all users, or The equivalent upstream distance value of the edge user in the preset percentile is targeted to be maximized.
4. The method according to claim 1, wherein the method further comprises: monitoring performance indexes of the base station antenna array after operation based on the target beam weight, wherein the performance indexes comprise uplink signal to interference noise ratio and throughput; And evaluating the performance index based on a preset index threshold, judging whether the corresponding performance of the target beam weight is better than that of the historical beam weight according to an evaluation result, if so, continuing to adopt the target beam weight, and if not, backing back to the historical beam weight.
5. The method of claim 1, wherein determining target beam weights for base station antennas based on the equivalent upstream distance model and a gradient aware particle swarm optimization algorithm comprises: The gradient sensing item is integrated into the speed update of the standard particle swarm optimization algorithm, and a speed update model is obtained; And determining the target beam weight of the base station antenna based on the speed updating model and the equivalent uplink distance model.
6. The method of claim 5, wherein the velocity update model comprises: Wherein V i (t+1) is the velocity vector of particle i at time t+1, ω is the inertial weight, V i (t) is the velocity vector of particle i at time t, c 1 is the individual learning factor, r 1 is the first random number uniformly distributed within the range of [0, 1], P best_i is the historical optimal position found by particle i itself, X i (t) is the position vector of particle i at time t, c 2 is the social learning factor, r 2 is the second random number uniformly distributed within the range of [0, 1], G best is the global historical optimal position found by the whole population, c 3 is the gradient acceleration constant, and G i (t) is the gradient perception term.
7. An uplink-based beam weight determination system, the system comprising: the data acquisition module is used for acquiring user equipment measurement data of a target cell and a target cell neighbor cell, wherein the user equipment measurement data comprises uplink path loss, time advance and space orientation information of a user; the model building module is configured to build an equivalent uplink distance model according to the uplink path loss, the time advance and the spatial azimuth information, and includes: normalizing the uplink path loss to obtain normalized path loss; normalizing the time advance to obtain a normalized time advance; Calculating the space mismatching degree of the wave beam based on the space azimuth information and the main lobe direction of the current antenna wave beam; Weighting and fusing the normalized path loss, the normalized time advance and the beam space mismatch degree to generate the equivalent uplink distance model; The weight determining module is used for determining a target beam weight of the base station antenna based on the equivalent uplink distance model and the gradient sensing particle swarm optimization algorithm by taking the statistical value of the equivalent uplink distance as a target, and transmitting the target beam weight to the base station antenna array.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the uplink based beam weight determination method of any one of claims 1 to 6 when the computer program is executed.
9. A storage medium having stored thereon a computer program, which when executed by a processor implements the uplink based beam weight determination method according to any of claims 1 to 6.

Description

Method and system for determining beam weight based on uplink Technical Field The present application relates to the field of mobile communications technologies, and in particular, to a method and a system for determining a beam weight based on an uplink. Background With the development of mobile communication technology, network traffic, especially uplink traffic (such as ultra-high definition video live broadcast, large file uploading, and data acquisition of terminals of the internet of things) is rapidly growing. Uplink has become a key bottleneck for system capacity and user experience, and automatic antenna mode control techniques are a key means to optimize network performance. The prior art is mostly optimized based on downlink measurement reports (e.g. RSRP, SINR), which implies that the uplink and downlink channels have reciprocity. However, in an actual network, uplink and downlink channel characteristics are not completely consistent due to User Equipment (UE) transmit power limitations and uplink-specific interference scenarios. This results in that the optimization result based on the downlink measurement may fail in the uplink, and the problems of weak uplink coverage, high interference, etc. cannot be accurately solved. In addition, the existing scheme mainly depends on signal intensity information, lacks deep utilization of user space position and channel fading characteristics, has single optimization dimension, and is difficult to realize fine beam management. Disclosure of Invention The embodiment of the application provides a method, a system, electronic equipment and a storage medium for determining a beam weight based on an uplink, which are used for at least solving the problem of poor uplink quality caused by inaccurate beam weight in the related technology. In a first aspect, an embodiment of the present application provides a method for determining a beam weight based on an uplink, where the method includes: acquiring user equipment measurement data of a target cell and a target cell neighbor cell, wherein the user equipment measurement data comprises uplink path loss, time advance and space orientation information of a user; constructing an equivalent uplink distance model according to the uplink path loss, the time advance and the space azimuth information; And determining a target beam weight of a base station antenna based on the equivalent uplink distance model and a gradient sensing particle swarm optimization algorithm by taking the statistical value of the equivalent uplink distance as a target, and transmitting the target beam weight to a base station antenna array. In some embodiments, the constructing an equivalent uplink distance model according to the uplink path loss, the time advance and the spatial orientation information includes: normalizing the uplink path loss to obtain normalized path loss; normalizing the time advance to obtain a normalized time advance; Calculating the space mismatching degree of the wave beam based on the space azimuth information and the main lobe direction of the current antenna wave beam; and carrying out weighted fusion on the normalized path loss, the normalized time advance and the beam space mismatch degree to generate the equivalent uplink distance model. In some embodiments, the spatial orientation information comprises a horizontal angle of arrival and a vertical angle of arrival, and the equivalent upstream distance model comprises: Wherein D eq is the equivalent uplink distance, PL norm is the normalized uplink path loss, TA norm is the time advance, G (θ h,θv) is the beam space mismatch function, θ h is the horizontal arrival angle, θ v is the vertical arrival angle, and α, β, γ are weighting coefficients. In some of these embodiments, the targeting optimization of the statistics of the equivalent upstream distance includes: targeting the average of the minimum equivalent uplink distance for all users, or The equivalent upstream distance value of the edge user in the preset percentile is targeted to be maximized. In some of these embodiments, the method further comprises: monitoring performance indexes of the base station antenna array after operation based on the target beam weight, wherein the performance indexes comprise uplink signal to interference noise ratio and throughput; And evaluating the performance index based on a preset index threshold, judging whether the corresponding performance of the target beam weight is better than that of the historical beam weight according to an evaluation result, if so, continuing to adopt the target beam weight, and if not, backing back to the historical beam weight. In some embodiments, the determining the target beam weight of the base station antenna based on the equivalent uplink distance model and the gradient aware particle swarm optimization algorithm includes: The gradient sensing item is integrated into the speed update of the standard particle swarm optimization algorithm, a