5G用户常驻区域预判及网络支撑前置策略研究

Research on 5G User Resident Area Prediction and Network Support Pre-strategy

针对5G网络发展初期,5G网络大数据平台及智能评估手段尚未完善,无法基于丰富的5G实际数据开展精准网络优化的问题,提出了一种5G用户常驻区域预判及网络支撑前置策略。首先,基于LTE信令大数据平台获取手机终端型号(IMEISV),与信令平台终端类型库进行匹配可获得终端类型及是否支持5G能力。然后,基于关键字段汇聚,获取5G终端分布及数量信息,即实现5G用户常驻区域预判。最后,基于高斯分布拟合LTE网络MR数据获得最佳方位角,开展网络精准优化,实现5G网络支撑前置。经实例验证,该策略能够有效提升用户热点分布区域的网络质量以及5G基站小区的业务量。

In the early stage of 5G network development,5G network big data platform and intelligent evaluation means are not yet perfect,and accurate network optimization cannot be performed based on rich 5G actual data.Therefore,this paper proposes a prediction for 5G user resident area and the corresponding network support pre-strategy.First of all,based on the big data platform of LTE signaling,mobile terminal types(IMEISV)are obtained and the terminal type library of signaling platform is used to match the specific terminal types and find whether 5G capability is supported.Then,based on the aggregation of key fields,the 5G terminal distribution and quantity information are obtained,namely,the prediction of 5G user resident area is realized.Finally,the best azimuth is obtained by fitting LTE network MR data based on Gaussian distribution,and accurate network optimization is performed to realize the front-end support of 5G network.The example shows that the proposed strategy can effectively improve the network quality in the hot-spot distribution area of users and the traffic volume of 5G base station cells.