基于机器学习的5G共建共享站址选取方法

A Method of Selecting Site in 5G Co-construction and Sharing Based on Machine Learning

5G是未来移动通信网络的发展方向,相比4G移动网络,5G网络建设投资成本巨大。网络共享将是运营商加快5G商用进程及降低成本增加效益的有效途径,共建共享研究将会是未来5G建设中关键一环。在共建共享工作中,对双方现网站点的建设优先级筛选非常重要。为了更加方便快捷地分析出合理的选址方案,把机器学习方法利用在选址规划当中,从共建共享规划开始,进行科学的5G基站布局建设,增强5G网络的市场竞争力,提升网络效益。

5G is the future direction of mobile communication network,compared with 4G mobile network,5G network construction investment cost is huge.Network sharing will be an effective way to speed up 5G business process and reduce costs and increase benefits.Co-construction and sharing research will be a key link in 5G construction in the future.The priority filtering of existing network sites of both sides will be an important issue in the work of co-construction and sharing.In order to analyze the location scheme more conveniently and quickly,using the machine learning method in the location planning,and starting from the co-construction and sharing planning,scientific 5G base station layout construction is carried out to enhance the market competitiveness of 5G network and enhance the network efficiency.