基于机器学习的POI网络质量提升方法探究

Research on POI Network Quality Improvement Methods Based on Machine Learning

随着移动通信网络的发展与演进,4G网络已经进入长期稳定的运维阶段。传统的小区级网络质量优化提升,已经无法满足日益复杂的网络运维工作。文章通过机器学习算法从传统逻辑小区与区域热点POI(Point of Information)匹配入手,打破传统单一的问题优化思维,研究POI区域化质量提升的一套方法。

As mobile communication network develops and evolves,4G network has entered a long-term stable operation and maintenance stage.Although the traditional cell-level network quality is also being optimized and improved,it has been unable to meet the increasingly complex network operation and maintenance work.In this paper,the machine learning algorithm is used to start with the matching of the traditional logical cell and the regional hotspot POI,which breaks the traditional single problem optimization thinking and develops a set of methods to improve the quality of POI regionalization.