VoLTE视频业务端到端感知评估优化研究  

Research on end-to-end perception evaluation optimization of VoLTE video service

作　　者：张晓 张弘 孙斌 徐小龙 ZHANG Xiao;ZHANG Hong;SUN Bin;XU Xiao-long(China Mobile Group Gansu Co.,Ltd.,Lanzhou 730070,China)

机构地区：[1]中国移动通信集团甘肃有限公司,兰州730070

出　　处：《电信工程技术与标准化》2018年第A01期29-32,共4页Telecom Engineering Technics and Standardization

摘　　要：中国移动主导的VoLTE视频业务作为当前拉动收入的重要增长点,对带宽、时延、分组丢失均有较高的要求,其基于应用和感知的特性导致业务整体评估和优化难度较大.且目前业界缺乏VoLTE视频感知评估的有效方案,已有的ITU-T的G.1070和U-VMOS等视频感知评估方法基本无法适用VoLTE视频感知评估.提出了一种基于BP神经网络的VoLTE视频质量评估方法,可以客观评价实时VoLTE视频质量.同时提出一种VoLTE视频“双向四维三阶”端到端问题定界方法,准确定位VoLTE视频质量原因,可以有效提升VoLTE视频用户的感知评估准确率和优化效率.VoLTE is a service of the application layer,which has become a new growth engine of China Mobile.How to measure customers’perception in VoLTE is difficult,while currently relevant standards(ITU-T G.1 070 and U-VMOS)cannot meet this new challenge.Network Optimizing also need to be increasingly complex and satisfy the requirements of a high-performance system,for example,wider bandwidth,less latency and lower loss.This paper focus on a network evaluation scheme and a partition algorithm for VoLTE quality problem,increasing the effectiveness and efficiency of both evaluation and improving.The evaluation scheme based on BP neural network can grade VoLTE real-time and provide feedback to network optimization.The partition algorithm can lead to identification,analysis and troubleshooting of performance issues,which is implemented on the platform and achieve very good results.

关 键 词：VoLTE视频 VMOS 端到端问题定位 

分 类 号：TN929.5[电子电信—通信与信息系统]