“人网合一”4G智慧网优体系研究

Research on Intelligent 4G Network Optimization System Based on Harmony Between Human and Network

为了解决网络资源和用户出现不匹配的矛盾，采崩海量MR数据的大数据定位算法，对用户轨迹、人流热力、网络质量进行匹配和识别，智能判断输出规划站点；同时利用MR大教据分析围绕用户开展覆盖、容量、多频协同等方面的优化，让网络随着人流走、容量人流热匹配，实现智能网络优化。通过从精确资源投放、智能网络优化、精准营销支撑三个方面入手，最终构建基于“入网合一”理念的4G大数据智慧网优体系，以提升用户感知。

In order to deal with the mismatch between network resources and users, the big data localization algorithm based on massive MR data was adopted to match and recognize the user trajectory, flow heat and network quality, intelligently judge and output the planed site. The optimization of coverage, capacity and multi-frequency collaboration for users based on MR big data was analyzed to realize the network with the flow, the match between capacity and flow heat and the intelligent network optimization. From three aspects of the accurate resource delivery, intelligent network optimization and precise marketing support, the intelligent 4G big data network optimization system based on the harmony between human and network was ultimately built to enhance the user perception.