基于MEC和K-means聚类的天馈智能优化系统及方法设计

Design of antenna intelligent optimization system and method based on MEC and K-means clustering

当前宏站天馈调整问题较多,一是天馈方位角不合理,未能覆盖周边最有价值区域;二是用户分布存在潮汐效应,天馈未能与用户转移进行联动;三是天馈调整更多依赖于现场勘查和优化人员经验,方案不够精确;四是不合理天馈需人力调整,费时费力.本文设计了一种基于MEC和K-means聚类的天馈智能优化系统及方法,对站点周边的用户分布通过大数据分析进行精准评估,结合天线自动调整组件在周期T内实现天馈自动调整,提升覆盖率的同时最大限度地激发流量.

The following problems exist in the antenna feed of the macro station. Firstly, the azimuth of antenna feed is unreasonable, and it can not cover the most valuable area around, secondly, the tide effect exists in the user distribution, and the antenna feed can not be linked with the transfer of users, thirdly, the adjustment of antenna feed relies more on the experience of site investigation and optimization personnel, and the scheme is not accurate enough, fourthly, antenna adjustment needs manpower , it’s time-consuming and laborious. This paper presents an automatic optimization method of antenna-feed based on user clustering. The distribution of users around the station is accurately evaluated by large data analysis. The antenna auto-adjustment module is combined with the antenna auto-adjustment module to realize the antenna auto-adjustment within the period T, which can improve the coverage and maximize the excitation of traffic.