基于大数据的5G寻呼成功率优化研究与实践

Research and Practice of 5G Paging Success Rate Optimization Based on Big Data

随着5G网络的规模化,用户对5G网络质量要求逐步提高,对SA网络的优化势在必行。文章介绍了5G SA寻呼优化的框架,深入研究了寻呼的流程,对寻呼流程进行分解,找出关键点,基于XDR话单,提出了寻呼成功率的大数据分析方法。根据寻呼成功率优化框架,针对寻呼因素进行分析研究,找出影响寻呼的因素包括寻呼策略、无线因素、接入因素、其他因素等,并根据对实际网络进行优化实践,提出优化建议及改进方案,对5G SA的核心网优化提供了经验指导。

With the scale of 5G network,users'requirements for 5G network quality are gradually improved,and the optimization of SA network is imperative.This paper introduces the framework of 5G SA paging optimization,deeply studies the paging process,decomposes the paging process,finds out the key points,and puts forward the big data analysis method of paging success rate based on XDR bill.According to the paging success rate optimization framework,this paper analyzes and studies the paging factors,finds out the factors affecting paging,including paging strategy,wireless factors,access factors and other factors,carries out optimization practice according to the actual network,puts forward optimization suggestions and improvement schemes,and provides empirical guidance for the core network optimization of 5G SA.