基于用户感知的VoNR端到端业务质量评估方法研究

Research on End to End Service Quality Assessment Method for VoNR Based on User Perception

目前传统的4G/5G移动网络语音业务的问题发现、定界定位、优化解决等主要依靠指标监控、前台测试和用户投诉,存在发现慢、定界定位难等问题,尤其是当前VoNR业务开通及语数分层部署、网络结构复杂度加大,存在业务场景多,网络问题分析复杂化,VoNR开网初期接通、掉话、语音业务感知差等一系列问题,急需一套科学的基于用户感知的VoNR问题分析定位体系。以下重点对VoNR端到端质量评估优化体系进行研究、实践,通过实践应用,以数智化为基础,构建科学高效的VoNR质量评估体系,实现对VoNR语音业务问题发现、定界定位、优化提升等全方位的改进和提升,有效解决用户语音业务问题,提升语音业务感知。

At present,the traditional 4G/5G mobile network voice services mainly rely on indica-tor monitoring,front-end testing,and user complaints for problem discovery,boundary positio ning,and optimization solutions.There are problems such as slow discovery and difficult boundary positioning,espccially with the currcnt VoNR scrvice opening and language layering deployment,increased network structure complexity,multiple business scenarios,complex net-work problem analysis,and a series of problems such as poor perception of VoNR during the in-itial connection,disconnection,and voice services.There is an urgent need for a scientific VoNR problem analysis and positioning system based on uscr perception.The following focuses on the research and practice of the end-to-end quality evaluation and optimization system for VoNR.Through practical application,based on digitization,a scientific and efficient VoNR quality cval-uation system is constructed to achieve comprehensive improvement and enhancement of VoNR voice service problem discovery,boundary positioning,optimization and improvement,effec-tively solving user voice service problems and enhancing voice service perception.