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基于自智网络的5G业务质量端到端分析方案研究与实践

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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.
A study and practice of end-to-end quality of service analysis scheme for 5G services based on autonomous network
Conducting end-to-end analysis of 5G service quality is the focus of operators to improve 5G user percep-tion.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 defini-tion,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 ex-pert 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.

end-to-end service qualityrule engineautonomous network

徐仕成

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中国移动通信集团湖南有限公司,湖南 长沙 410011

业务质量端到端 规则引擎 自智网络

2024

电信科学
中国通信学会 人民邮电出版社

电信科学

CSTPCD北大核心
影响因子:0.902
ISSN:1000-0801
年,卷(期):2024.40(1)
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