期刊文献+

基于OTT大数据的质差终端定位方法研究与实践

Research and practice of poor quality terminal location method based on OTT big data
下载PDF
导出
摘要 传统的移动通信质差终端定位方法主要依赖于人工拨测、终端信令数据分析和用户投诉数据分析。本文通过关联用户信令数据、OTT数据和MR数据等进行综合分析,实时定位终端位置,同时结合栅格分析,有效对比不同栅格内的终端无线质量情况,实现质差终端定位。通过现场实践验证,识别成功率满足日常工作,将为网络终端质量分析提供一种高效的评估方法。 Traditional mobile communication terminal location methods mainly rely on manual dial test,terminal signaling data analysis and user complaint data analysis.In this paper,through the comprehensive analysis of associated user signaling data,OTT data and MR data,any terminal location in the whole network can be located in real time.At the same time,combined with grid analysis,the wireless quality of terminals in different grids is effectively compared to achieve poor quality terminal positioning.Through field practice,the identification success rate meets the daily work,and provides an efficient evaluation method for network terminal quality analysis.
作者 杜犇 张立杰 DU Ben;ZHANG Li-jie(China Mobile Group Design Institute Co.,Ltd.Shaanxi Branch,Xi'an 710065,China;China Mobile Group Shaanxi Co.,Ltd.,Xi'an 710077,China)
出处 《电信工程技术与标准化》 2021年第5期59-62,共4页 Telecom Engineering Technics and Standardization
关键词 终端质量关联 质差终端 OTT terminal quality correlation poor quality terminal OTT
  • 相关文献

参考文献2

二级参考文献3

共引文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部