Establishing an intelligent agent system for network operations and maintenance

Liu Xudong; Chen Zhenzhen; Liu Liu; Hou Shaozong; Lei Linlin; Zhong Haocheng

doi:10.11959/j.issn.1000-0801.DXKX250719

您当前的位置：

首页 >

文章列表页 >

Establishing an intelligent agent system for network operations and maintenance

更新时间：2026-07-21

- Establishing an intelligent agent system for network operations and maintenance
- Telecommunications Science Vol. 42, Issue 6, Pages: 92-104(2026)
- 作者机构：
  
  中国移动通信集团广东有限公司，广东广州 510510
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.DXKX250719
  CLC： TN915
- Received：11 December 2025，
  
  Revised：2026-02-11，
  
  Accepted：20 March 2026，
  
  Online First：21 July 2026，
  
  Published：20 June 2026
- 稿件说明：
移动端阅览
刘旭东,陈贞贞,刘柳等.面向网络运维的智能体体系构建[J].电信科学,2026,42(06):92-104.

Liu Xudong,Chen Zhenzhen,Liu Liu,et al.Establishing an intelligent agent system for network operations and maintenance[J].Telecommunications Science,2026,42(06):92-104.
刘旭东,陈贞贞,刘柳等.面向网络运维的智能体体系构建[J].电信科学,2026,42(06):92-104. DOI： 10.11959/j.issn.1000-0801.DXKX250719.

Liu Xudong,Chen Zhenzhen,Liu Liu,et al.Establishing an intelligent agent system for network operations and maintenance[J].Telecommunications Science,2026,42(06):92-104. DOI： 10.11959/j.issn.1000-0801.DXKX250719.

摘要

5G规模部署与行业数字化转型推动网络运维向群体智能演进。针对当前人工智能（AI）应用碎片化导致的数据孤岛、能力割裂及跨域协同难题，制约自智网络迈向L4高阶阶段，提出面向运维场景的三层智能体体系架构（智能体能力层-运营管理层-安全防护层）。通过分层解耦与多智能体协同机制创新，构建了“成熟度-通用性”双维度评价体系及全生命周期安全防护框架，实现运维模式从单点智能到群体智能的跨越。该架构的设计、技术路径与安全运营方法，为通信行业加速实现L4自智网络提供了实践范式。

Abstract

The large-scale deployment of 5G and industrial digital transformation are driving network operations and maintenance (O&M) toward collective intelligence. The fragmentation of AI applications has resulted in data silos

capability fragmentation

and cross-domain coordination challenges

hindering the advancement of autonomous intelligent networks toward level 4 (highly autonomous). A three-layer agent architecture for O&M of autonomous networks was proposed: the agent capability layer

the operations management layer

and the security protection layer. Through innovative layered decoupling and multi-agent collaborative mechanisms

a dual-dimensional evaluation framework (maturity-generality) and a full-lifecycle security protection system were constructed

enabling the evolution of O&M paradigms from single-point to collective intelligence. A practical paradigm was provided by the proposed architecture

technical pathways

and security operation methodologies for the communications industry to accelerate progress toward L4 autonomous intelligent networks.

关键词

Keywords

references

李长空 . 智能创未来引领“新京彩” 北京移动数智转型及自智网络能力提升实践 [J ] . 通信世界 , 2025 ( 2 ): 16 - 17 .

Li C K . Creating the future with intelligence, leading the "new Beijing color" Beijing mobile's digital intelligence transformation and self-intelligence network capability improvement practice [J ] . Communications World , 2025 ( 2 ): 16 - 17 .

Lian J C , Zhang C L , Yu D . Robust disentangled variational speech representation learning for zero-shot voice conversion [C ] // Proceedings of the ICASSP 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . Piscataway : IEEE Press , 2022 : 6572 - 6576 .

徐东兵 . 自智网络L4征程开启多省先发打造标杆案例 [J ] . 通信世界 , 2025 ( 2 ): 24 - 25 .

Xu D B . Self-intelligent network L4 journey opens a multi-provincial first-mover benchmarking case [J ] . Communications World , 2025 ( 2 ): 24 - 25 .

刘庆华 . 软件工程赋能通信技术: 未来通信网络架构的创新与演进 [J ] . 中国宽带 , 2025 , 21 ( 8 ): 1 - 3 .

Liu Q H . Software engineering enabling communication technology: innovation and evolution of future communication network architecture [J ] . China BroadBand , 2025 , 21 ( 8 ): 1 - 3 .

李心玥 , 徐佳琦 , 邱丽媛 , 等 . 数字员工在智能运维领域的应用探索与实践 [J ] . 中国金融电脑 , 2023 ( 9 ): 70 - 72 .

Li X Y , Xu J Q , Qiu L Y , et al . Application and practice of digital employees in the field of intelligent operation and maintenance [J ] . Financial Computer of China , 2023 ( 9 ): 70 - 72 .

王健 , 张明 , 李华 . 智能体技术在5G网络运维中的应用研究 [J ] . 通信学报 , 2023 , 44 ( 5 ): 120 - 128 .

Wang J , Zhang M , Li H . Application research on agent technology in 5G network operation and maintenance [J ] . Journal of Communications , 2023 , 44 ( 5 ): 120 - 128 .

尹浩 , 任保全 , 钟旭东 . 基于网络认知的智能信息网络发展构想 [J ] . 陆军工程大学学报 , 2025 , 4 ( 1 ): 1 - 9 .

Yin H , Ren B Q , Zhong X D . Vision for development of intelligent information networks based on network cognition [J ] . Journal of Army Engineering University of PLA , 2025 , 4 ( 1 ): 1 - 9 .

Zhao J , Yang M Y , Zhao Y P , et al . MCMARL: parameterizing value function via mixture of categorical distributions for multi-agent reinforcement learning [J ] . IEEE Transactions on Games , 2024 , 16 ( 3 ): 556 - 565 .

杜威 , 丁世飞 . 多智能体强化学习综述 [J ] . 计算机科学 , 2019 , 46 ( 8 ): 1 - 8 .

Du W , Ding S F . Overview on multi-agent reinforcement learning [J ] . Computer Science , 2019 , 46 ( 8 ): 1 - 8 .

刘芳 , 陈刚 , 赵伟 . 面向网络运维的动态知识库构建方法 [J ] . 计算机应用研究 , 2024 , 41 ( 2 ): 458 - 463 .

Liu F , Chen G , Zhao W . Method for constructing dynamic knowledge base for network operation and maintenance [J ] . Journal of Computer Application Research , 2024 , 41 ( 2 ): 458 - 463 .

刘妍蕾 , 李勇 , 韩俊飞 , 等 . 基于多Agent模型的网络协同探测系统 [J ] . 沈阳工业大学学报 , 2025 , 47 ( 2 ): 265 - 272 .

Liu Y L , Li Y , Han J F , et al . Network cooperative detection system based on multi-agent model [J ] . Journal of Shenyang University of Technology , 2025 , 47 ( 2 ): 265 - 272 .

Zhang Y , Li Z , Wang H . Multi-agent coordination mechanism for autonomous network operation and maintenance [C ] // Proceedings of the 2023 IEEE International Conference on Communications (ICC) . Piscataway : IEEE Press , 2023 : 4567 - 4572 .

中国信息通信研究院 . 智能体技术要求与评估方法 [R ] . 2024 .

China Academy of Information and Communications Technology . Technical requirements and evaluation methods for intelligent agents [R ] . 2024 .

Chen X , Liu Y , Zhang M . Large language models for network operation and maintenance: applications and challenges [J ] . IEEE Network , 2024 , 38 ( 1 ): 56 - 63 .

赵静 , 孙明 , 周强 . 自智网络中智能体运营体系构建与实践 [J ] . 电信科学 , 2023 , 29 ( 6 ): 78 - 85 .

Zhao J , Sun M , Zhou Q . Construction and practice of agent operation system in autonomous network [J ] . Telecommunications Science , 2023 , 29 ( 6 ): 78 - 85 .

Wang L , Zhang Q , Li S . Lightweight large model deployment for edge network operation and maintenance [J ] . IEEE Internet of Things Journal , 2024 , 12 ( 5 ): 12345 - 12352 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Design and application of multi-dimensional evaluation model of telecommunication network operations and maintenance

Layered architecture of enterprise AI agent infrastructure: an analytical framework based on cloud computing practice

Research on multi-agent latent space strategies based on frozen main branch dual-loop evolution

SATKT: a sparse attention knowledge tracing model based on Transformer

Heterogeneous computing power scheduling system and applications under the background of computing- network convergence

Related Author

Liang XU

Ye WANG

Ran ZHENG

Jiheng ZHANG

Ping YUAN

Xinyang LI

Yu TIAN

Related Institution

China Mobile Communications Group Co., Ltd.

China Mobile Research Institute

⁰