基于5G分流的网络结构智能优化方法研究及实现

Research and implementation of intelligent optimization method of network structure based on 5G shunting

为解决5G网络建设初期由于站间距过大以及4G共站同覆盖下覆盖差异而导致的5G网络结构不合理的问题,本文对5G网络结构进行了深入研究,提出一种通过采用德洛内三角原理和天线权值优化等算法,引入MRO原始采样数据,工具自动化计算5G小区覆盖的实际距离和理想覆盖距离,针对差值较大的覆盖异常小区自动输出权值调整方案的方法,从而提高网络覆盖质量,持续提升5G网络深度覆盖水平。

In order to solve the problem of unreasonable 5G network structure caused by excessive station spacing and coverage diff erence under 4G co-station coverage in the early stage of 5G network construction,this paper conducts an in-depth study on 5G network structure and proposes a method to introduce MRO original sampling data by using Delorne's triangle principle and antenna weight optimization algorithm.The tool automatically calculates the actual and ideal coverage distance of 5G cell coverage,and automatically outputs the method of weight adjustment for abnormal coverage cells with large diff erence,so as to improve the quality of network coverage and continuously improve the depth coverage level of 5G network.