5G网络自动化：从人工运维到全自治

詹勇; 吴枫

doi:10.11959/j.issn.1000-0801.2022088

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5G网络自动化：从人工运维到全自治

工程与应用 | 更新时间：2024-06-05

- 5G网络自动化：从人工运维到全自治
- 5G network automation: from manual operating to full autonomous
- 电信科学 2022年38卷第8期页码：140-150
- 作者机构：
- 作者简介：
  
  [ "詹勇（1990-），男，博士，中兴通讯股份有限公司工程师，主要从事无线通信网络、下一代通信网络的研究工作" ]
  [ "吴枫（1976- ），男，中兴通讯股份有限公司研发总工程师，主要从事移动通信网络技术、解决方案研究以及系统架构设计工作" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022088
  中图分类号： TP393
- 网络出版日期：2022-08，
  
  纸质出版日期：2022-08-20
- 稿件说明：
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詹勇, 吴枫. 5G网络自动化：从人工运维到全自治[J]. 电信科学, 2022,38(8):140-150.

Yong ZHAN, Feng WU. 5G network automation: from manual operating to full autonomous[J]. Telecommunications science, 2022, 38(8): 140-150.
詹勇, 吴枫. 5G网络自动化：从人工运维到全自治[J]. 电信科学, 2022,38(8):140-150. DOI： 10.11959/j.issn.1000-0801.2022088.

Yong ZHAN, Feng WU. 5G network automation: from manual operating to full autonomous[J]. Telecommunications science, 2022, 38(8): 140-150. DOI： 10.11959/j.issn.1000-0801.2022088.

摘要

摘要：通过数字化和智能化实现自动化管理已成为千行百业削减运维成本的关键技术。作为数字化和智能化的“赋能者”，5G 移动通信系统已经从早期的人工运维网络演进到人工协助的自动运维网络。在研究 5G网络自动化技术的基础上，重点分析了3GPP提出的L0～L5自治网络等级，深入探讨了包含意图全生命周期维护和意图冲突管理等若干意图驱动的5G自治网络关键技术。最后，提出了一个意图驱动的5G自治网络落地实践方案：意图驱动的业务体验保障方案。

Abstract

To realize automatic management via digitization and intellectualization has become a key technology for thousands of industries to reduce their operation and maintenance costs.As an enabler of digitization and intellectualization

5G mobile communication system has evolved from manual operating network to human-assisted automation network.Based on the study of automatic technologies of 5G network

the L0～L5 autonomous network levels proposed by 3GPP were analyzed

several key technologies for intent-driven 5G autonomous network including intent life-cycle maintenance and solutions for intent conflict were discussed.Last but not least

a practice of intent-driven 5G autonomous network was proposed: solution of intent-driven application experience assurance.

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Keywords

references

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3GPP . Management and orchestration; management services for communication service assurance; Requirements:TS28.535 [S ] . 2021 .

PANG L , YANG C G , CHEN D Y , et al . A survey on intent-driven networks [J ] . IEEE Access , 2020 ( 8 ): 22862 - 22873 .

MNIH V , KAVUKCUOGLU K , SILVER D , et al . Human-level control through deep reinforcement learning [J ] . Nature , 2015 , 518 ( 7540 ): 529 - 533 .

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