CN-121985348-A - Intelligent base station antenna system

CN121985348ACN 121985348 ACN121985348 ACN 121985348ACN-121985348-A

Abstract

The invention relates to the technical field of wireless communication, in particular to an intelligent base station antenna system which comprises a multi-source perception fusion step of collecting base station engineering parameters and terminal measurement reports in real time, analyzing and extracting signal characteristics and aligning time sequences to generate a multi-dimensional perception data set, a space-time topology reconstruction step of carrying out multi-path propagation environment inversion based on the data set to construct a three-dimensional telephone traffic thermodynamic diagram reflecting the density of a three-dimensional space user, an interference potential energy analysis step of simulating beam overflow based on the thermodynamic diagram to calculate overlapping coverage and generate an interference potential energy evaluation result, an intelligent decision optimization step of constructing a multi-objective optimization function, a global search and calculation of optimal antenna weight configuration comprising amplitude and phase weights, and an adaptive reconstruction execution step of converting the weights into beam forming instructions to drive an antenna to adjust a radiation pattern and monitor performance in real time.

Inventors

XIE MILIAN
HUANG HUIBING
WANG CHUNSHENG
LI ZIQIANG
XU SHUYING

Assignees

广东浩信通信科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260130

Claims (8)

1. An intelligent base station antenna system, comprising: The multi-source sensing fusion module is used for collecting current industrial parameter data of the base station antenna and measurement report data from the terminal in real time, analyzing and cleaning the measurement report data, extracting signal strength, signal to noise ratio, arrival angle and time advance data, and performing time sequence alignment on the current industrial parameter data and the extracted data to generate a multi-dimensional sensing data set; the space-time topology reconstruction module is used for carrying out inversion of multipath propagation environments in a virtual space based on the multidimensional sensing data set and combined with geographic information system data to construct a three-dimensional telephone traffic thermodynamic diagram reflecting the density distribution of users in the three-dimensional space; the interference potential energy analysis module is used for simulating the signal overflow condition of the current wave beam form at the edge of the adjacent cell based on the three-dimensional telephone traffic thermodynamic diagram, calculating the overlapping coverage degree and generating an interference potential energy evaluation result according to the overlapping coverage degree; the intelligent decision optimization module is used for constructing a multi-objective optimization function, aiming at maximizing the signal intensity of the hot spot area of the cell and minimizing the interference potential energy of the adjacent cell, performing global search on the three-dimensional traffic thermodynamic diagram, and calculating the optimal antenna weight configuration; The self-adaptive reconstruction execution module is used for converting the optimal antenna weight configuration into a beam forming instruction or an electric downtilt angle adjusting instruction, driving the reconfigurable antenna execution mechanism to adjust the radiation pattern, and monitoring the adjusted network performance index in real time to form closed-loop control.
2. The smart base station antenna system of claim 1, wherein the method of generating the multi-dimensional perceptual data set comprises: acquiring scheduling information of each transmission time interval recorded on a base station side, and determining an effective service period; Screening sampling points falling into an effective service period from measurement report data; based on a preset statistical deviation threshold value or a quarter bit distance rule, carrying out outlier rejection processing on the screened sampling points to obtain effective sampling points; coordinate system conversion is carried out on arrival angle data corresponding to the effective sampling points and the normal direction of the base station antenna, and an absolute space angle is obtained; And mapping the absolute space angle, the signal strength and the signal to noise ratio to the current industrial parameter data according to the timestamp index to complete the generation of the multidimensional sensing data set.
3. The intelligent base station antenna system according to claim 2, wherein the method for constructing the three-dimensional traffic thermodynamic diagram comprises: Dividing the coverage area into three-dimensional grid cells with preset sizes; Estimating the radial distance between a user and a base station based on the time advance data, and determining the space projection position of each effective sampling point in the three-dimensional grid unit by combining the absolute space angle; Performing density cluster analysis on the effective sampling points in each three-dimensional grid cell, and calculating the traffic density value of each three-dimensional grid cell; smooth filling is carried out on the sparse area by utilizing a kriging interpolation method or Gaussian process regression, and a continuous three-dimensional traffic thermodynamic diagram is generated.
4. A smart base station antenna system according to claim 3, wherein the method of generating interference potential energy assessment results comprises: acquiring position information of a neighbor cell base station and geographic boundary information of a neighbor cell edge; Marking an interference sensitive area belonging to the coverage area of a neighboring cell in a three-dimensional traffic thermodynamic diagram; Simulating the power spectrum density distribution of the current beam form in the interference sensitive area by using a ray tracing model; calculating the accumulated received power in the interference sensitive area, and comparing the accumulated received power with a preset interference tolerance threshold; If the accumulated received power is greater than the interference tolerance threshold, generating a high interference potential energy mark, and calculating the interference overflow quantity of the excess part; if the accumulated received power is less than or equal to the interference tolerance threshold, generating a low interference potential energy marker; and taking the high interference potential energy mark or the low interference potential energy mark as an interference potential energy evaluation result.
5. The intelligent base station antenna system according to claim 4, wherein the method for Jie Suanchu for configuring the optimal antenna weights comprises: initializing a group of random antenna weight groups, wherein each group of antenna weights comprises amplitude weights and phase weights; Substituting each group of antenna weight values into a preset antenna pattern synthesis formula to generate a corresponding virtual beam form; Calculating target coverage gain of the virtual beam form in the three-dimensional traffic thermodynamic diagram, and calculating an adaptability function value positively correlated with the target coverage gain and negatively correlated with the interference overflow amount according to preset weighting logic; selecting, crossing and mutating the antenna weight population based on the fitness function value to generate a new generation antenna weight population; repeating iteration until the fitness function value converges or reaches the preset iteration times, and selecting a group of antenna weights with the highest fitness function value as the optimal antenna weight configuration.
6. The intelligent base station antenna system according to claim 5, wherein the method for driving the reconfigurable antenna actuator to adjust the radiation pattern comprises: analyzing the optimal antenna weight configuration, and separating out a phase adjustment parameter and an amplitude adjustment parameter; If the interference potential energy evaluation result is a high interference potential energy mark, generating a radiation zero point in the physical direction of the corresponding interference sensitive area based on the phase adjustment parameter to form a null wave beam; If the displacement of the spatial geometric centroid of the traffic hot spot area in the three-dimensional traffic thermodynamic diagram exceeds a preset threshold value in a preset time window, determining that the spatial geometric centroid is distributed in a tidal mode, and dynamically compressing or expanding the width of a beam main lobe based on amplitude adjustment parameters so as to match the geometric envelope of the traffic hot spot area; And transmitting the generated null wave beam configuration or wave beam main lobe width configuration to a phase shifter and attenuator network to finish the adjustment of the radiation pattern.
7. The intelligent base station antenna system according to claim 1, wherein the method for monitoring the adjusted network performance index in real time to form the closed loop control comprises: re-acquiring measurement report data in a preset observation window after the radiation pattern is adjusted; calculating the adjusted average signal-to-noise ratio of the whole network and the edge user rate; Calculating the performance gain difference before and after adjustment; If the performance gain difference value is smaller than a preset minimum forward gain threshold value, judging that the current environment model has deviation, and triggering a model correction instruction; And responding to the model correction instruction, adjusting multipath fading factors in the space-time topology reconstruction module, and re-executing interference potential energy analysis and intelligent decision optimization flow.
8. The smart base station antenna system of claim 1, further comprising an energy efficiency management module configured to: based on the three-dimensional traffic thermodynamic diagram, counting the total traffic demand at the current moment; Comparing the total telephone traffic demand with a preset energy-saving starting threshold; If the total telephone traffic demand is smaller than the energy-saving starting threshold, generating a channel turn-off instruction, locking part of antenna array channels, and recalculating the optimal antenna weight configuration of the rest channels so as to maintain the basic coverage waveform; And if the total traffic demand is greater than or equal to the energy-saving starting threshold, maintaining the full-channel operation mode.

Description

Intelligent base station antenna system Technical Field The invention relates to the technical field of wireless communication, in particular to an intelligent base station antenna system. Background The traditional base station antenna optimization scheme generally relies on static drive test data or planning simulation, and builds a network coverage foundation by presetting a fixed azimuth angle, a downward inclination angle and a beam weight, so that regional signal coverage can be quickly realized in the initial stage of network construction; Along with the evolution of the mobile communication technology, although technologies such as electronic downdip and beam forming appear to enhance the flexibility of coverage, the existing antenna parameter configuration mode is still mainly based on the static assumption of a two-dimensional plane, and cannot adapt to dynamic flow distribution change caused by traffic tidal effect, so that the beam coverage and an actual traffic hot spot are difficult to match in space-time, and meanwhile, a real-time sensing and avoidance mechanism for the same-frequency interference of a neighboring cell in a three-dimensional space is lacking, pilot pollution or invalid coverage is easy to generate, the signal quality improvement and the neighboring cell interference suppression of the cell are difficult to be considered in a complex propagation environment, and the overall capacity and the energy efficiency of the network are limited to be further optimized. Disclosure of Invention In order to solve the above technical problems, the present invention provides an intelligent base station antenna system, specifically, the technical solution of the present invention includes: The multi-source sensing fusion module is used for collecting current industrial parameter data of the base station antenna and measurement report data from the terminal in real time, analyzing and cleaning the measurement report data, extracting signal strength, signal to noise ratio, arrival angle and time advance data, and performing time sequence alignment on the current industrial parameter data and the extracted data to generate a multi-dimensional sensing data set; the space-time topology reconstruction module is used for carrying out inversion of multipath propagation environments in a virtual space based on the multidimensional sensing data set and combined with geographic information system data to construct a three-dimensional telephone traffic thermodynamic diagram reflecting the density distribution of users in the three-dimensional space; the interference potential energy analysis module is used for simulating the signal overflow condition of the current wave beam form at the edge of the adjacent cell based on the three-dimensional telephone traffic thermodynamic diagram, calculating the overlapping coverage degree and generating an interference potential energy evaluation result according to the overlapping coverage degree; the intelligent decision optimization module is used for constructing a multi-objective optimization function, aiming at maximizing the signal intensity of the hot spot area of the cell and minimizing the interference potential energy of the adjacent cell, performing global search on the three-dimensional traffic thermodynamic diagram, and calculating the optimal antenna weight configuration; The self-adaptive reconstruction execution module is used for converting the optimal antenna weight configuration into a beam forming instruction or an electric downtilt angle adjusting instruction, driving the reconfigurable antenna execution mechanism to adjust the radiation pattern, and monitoring the adjusted network performance index in real time to form closed-loop control. Preferably, the method of generating a multi-dimensional perceptual dataset comprises: acquiring scheduling information of each transmission time interval recorded on a base station side, and determining an effective service period; Screening sampling points falling into an effective service period from measurement report data; based on a preset statistical deviation threshold value or a quarter bit distance rule, carrying out outlier rejection processing on the screened sampling points to obtain effective sampling points; coordinate system conversion is carried out on arrival angle data corresponding to the effective sampling points and the normal direction of the base station antenna, and an absolute space angle is obtained; And mapping the absolute space angle, the signal strength and the signal to noise ratio to the current industrial parameter data according to the timestamp index to complete the generation of the multidimensional sensing data set. Preferably, the method for constructing the three-dimensional traffic thermodynamic diagram comprises the following steps: Dividing the coverage area into three-dimensional grid cells with preset sizes; Estimating the radial distance between a user and a base