移动网络语音质差根因定位模型研究与应用

Research and application of root-cause location model for poor voice quality in mobile network

围绕数字化运营建设要求,基于VoLTE端到端关联分析系统多维度对IMS域网络关键性能指标中的相关失败次数做波动分析,实现网络KPI波动告警和劣化指标异常原因定界定位,对网络异常做出智能预警,在问题暴露前优化网络,以免对业务造成影响。通过数智化手段多维度分析定位移动网络语音质差根因,实现网络隐患故障的早预警、早发现、早处理,提升运营效率和网络质量。

Around the requirements of digital operation,based on VoLTE end-to-end association analysis system,the fluctuation analysis of related failures in key performance indicators of IMS domain network is carried out in multi-dimensions,the network KPI fluctuation warning and deterioration indicators are defined,the network anomaly is warned intelligently,and the network is optimized before the problem is exposed to avoid business impact.Through the multi-dimensional analysis of intellectualized means to locate the causes of poor voice quality in mobile network,to achieve early warning,early detection and early treatment of network potential failures,and to improve operational efficiency and network quality.