Research on automatic localization method for VoLTE voice end to end problems

刘克清; 周俊; 李世光; 戴鹏程

doi:10.13992/j.cnki.tetas.2018.02.002

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Research on automatic localization method for VoLTE voice end to end problems

更新时间：2026-04-20

- Research on automatic localization method for VoLTE voice end to end problems
- Vol. 31, Issue 2, Pages: 4-8(2018)
- 作者机构：
  
  中国移动通信集团设计院有限公司
- 作者简介：
- 基金信息：
- DOI：10.13992/j.cnki.tetas.2018.02.002
  CLC： TN929.5
- Published：2018
- 稿件说明：
移动端阅览
[1]刘克清,周俊,李世光,戴鹏程.VoLTE语音端到端问题自动定位方法研究[J].电信工程技术与标准化,2018,31(02):4-8.

刘克清, 周俊, 李世光, et al. Research on automatic localization method for VoLTE voice end to end problems[J]. 2018, 31(2): 4-8.
[1]刘克清,周俊,李世光,戴鹏程.VoLTE语音端到端问题自动定位方法研究[J].电信工程技术与标准化,2018,31(02):4-8. DOI： 10.13992/j.cnki.tetas.2018.02.002.

刘克清, 周俊, 李世光, et al. Research on automatic localization method for VoLTE voice end to end problems[J]. 2018, 31(2): 4-8. DOI： 10.13992/j.cnki.tetas.2018.02.002.

摘要

本文主要介绍实现终端测试数据与核心网多种接口XDR数据进行同步关联的算法。利用对VoLTE通话异常原因的定位技术

指导VoLTE客户感知问题的发现、定界。研究成果可快速将VoLTE问题分配到归口部门进行解决

快速提升用户语音业务感知。

Abstract

This paper mainly introduces the algorithm of synchronous association between terminal test data and various interfaces of core network XDR data. Using the location techniques for VoLTE abnormal call

we can discover and bound the VoLTE customer awareness problem. VoLTE problem can be quickly assigned to the corresponding departments to be solved

and user voice service awareness could be rapidly improving.

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references

基于LTE信令大数据的网络质量评估体系研究 [J]. 周俊,刘克清. 互联网天地 . 2015(03)

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