基于MR大数据的LTE网络结构评估方法

随着4G网络的快速发展和用户的迅速增长,传统的基于测试、网管指标和客户投诉的网络质量提升手段已经不能满足客户感知的需要。本文提出一种基于MR大数据的网络质量分析方法,首先从网络结构的角度出发,评估现网网络质量情况,然后发现网络问题短板,定位网络质差的根本原因,最后输出针对性的网络优化调整方案,从而改善网络结构,提升客户感知。

LTE Network Structure Evaluation Method Based on MR Big Data

With the rapid development of 4G networks and growth of users, the traditional methods based on drive test, network indicators and customer complaints cannot meet the needs of customer perception. This paper proposes a network quality analysis method based on measurement report large data, from the perspective of the network structure, an accurate assessment of the current network situation network quality first, and then the weaknesses of network problems was found to pinpoint the root causes of poor network quality, the final output targeted network optimization adjustment programs to improve the network structure, improve customer perception.