摘要
针对VoLTE用户的增长与网络规模的扩大,以及VoLTE问题优化难度增加现象,通过一种全新的基于大数据信令分段的VoLTE问题分析方法研究,实现VoLTE关键KQI问题小区的自动定界,有效地解决了传统分析方法效率低、分析不全面、易出错等问题,是LTE网络集中优化重要的支撑手段。
According to the growth of VoLTE users, expansion of network scale and increasingly difficulty in VoLTE optimization, a novel analysis method of LTE problems based on big data signaling segment was investigated to realize the automatic bound of detective cell with key KQI for VoLTE. It effectively solves the low efficiency, incomplete analysis and easy error of traditional analysis methods, being the important supporting approach to the centralized optimization of LTE network.
出处
《移动通信》
2017年第16期1-5,11,共6页
Mobile Communications
关键词
信令分段
问题定界
信令关联
signaling segment problem bound signaling association
