电信科学 ›› 2024, Vol. 40 ›› Issue (1): 162-170.doi: 10.11959/j.issn.1000-0801.2024002

• 工程与应用 • 上一篇    

基于自智网络的5G业务质量端到端分析方案研究与实践

徐仕成   

  1. 中国移动通信集团湖南有限公司,湖南 长沙 410011
  • 修回日期:2023-12-20 出版日期:2024-01-01 发布日期:2024-01-01
  • 作者简介:徐仕成(1982- ),男,中国移动通信集团湖南有限公司高级工程师,主要从事IT系统架构规划、大数据分析与挖掘等工作

A study and practice of end-to-end quality of service analysis scheme for 5G services based on autonomous network

Shicheng XU   

  1. China Mobile Communications Group Hunan Co., Ltd., Changsha 410011, China
  • Revised:2023-12-20 Online:2024-01-01 Published:2024-01-01

摘要:

开展5G业务质量端到端分析是运营商提升5G用户感知的重要抓手。针对传统业务质量端到端分析高度依赖固化专家规则的不足,采用规则引擎、AI中台、智能化调度等技术方案,构建5G业务质差识别、质差定界定位、闭环管理、效果分析、模型迭代的“五阶闭环自智流程”,对自智网络的5G业务质量端到端分析方案进行研究与实践,实现高效的自智化协同,保障5G业务用户感知。

关键词: 业务质量端到端, 规则引擎, 自智网络

Abstract:

Conducting end-to-end analysis of 5G service quality is the focus of operators to improve 5G user perception.Technical solutions such as rule engine, AI competency center, and intelligent scheduling were adopted to build a “fifth order closed-loop autonomous process” covering quality difference identification, quality difference definition, closed-loop management, effect analysis, and model iteration related to 5G service quality analysis.The process can make up for the shortage of the traditional end-to-end analysis of service quality that highly relies on solidified expert rules.According to this process, the end-to-end analysis scheme of 5G service quality of self-intelligent network was studied and practiced, achieving efficient autonomous collaboration and ensuring the perception of 5G service users.

Key words: end-to-end service quality, rule engine, autonomous network

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