通信网络三次变革及AI化变革的关键技术

张同须; 段晓东; 程伟强; 张晓光

doi:10.11959/j.issn.1000-0801.2026120

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通信网络三次变革及AI化变革的关键技术

更新时间：2026-03-31

- 通信网络三次变革及AI化变革的关键技术
- Three revolutions of communication networks and key technologies for AI-driven revolution
- 电信科学 2026年页码：1-14
- 作者机构：
  
  中国移动通信有限公司研究院，北京 100053
- 作者简介：
  
  [ "张同须（1964- ），男，中国移动通信有限公司研究院原院长，现任研究院科技委名誉主任，教授级高级工程师，全国工程勘察设计大师。长期从事移动及数据通信网络的设计及研究工作。享受国务院政府特殊津贴。" ]
  [ "段晓东（1977- ），男，中国移动通信有限公司研究院副院长、“新世纪百千万人才工程”国家级人选，教授级高级工程师；长期从事下一代互联网、算力网络、5G网络架构、6G网络架构、SDN/NFV等技术研究工作。" ]
  [ "程伟强（1980- ），男，中国移动通信有限公司研究院基础网络技术研究所副所长，正高级工程师；长期从事下一代互联网、数据中心网络、传输网等方面的技术研究和标准推动工作。" ]
  [ "张晓光（1980- ），男，中国移动通信有限公司研究院网络与IT 技术研究所副所长，高级工程师，长期从事网络云自动化集成体系研究及系统构建、算力网络软硬件架构设计、产业链创新体系及评估模型研究工作。" ]
- 基金信息：
  
  国家重点研发计划(2024YFB2906600;2024YFB2906601)
- DOI：10.11959/j.issn.1000-0801.2026120
  中图分类号： TN915TP393
- 修回：2026-01-26，
  
  录用：2026-03-12，
  
  网络首发：2026-03-30，
- 稿件说明：
移动端阅览
张同须,段晓东,程伟强等.通信网络三次变革及AI化变革的关键技术[J].电信科学,

Zhang Tongxu,Duan Xiaodong,Cheng Weiqiang,et al.Three revolutions of communication networks and key technologies for AI-driven revolution[J].Telecommunications Science,
张同须,段晓东,程伟强等.通信网络三次变革及AI化变革的关键技术[J].电信科学, DOI：10.11959/j.issn.1000−0801.2026120.

Zhang Tongxu,Duan Xiaodong,Cheng Weiqiang,et al.Three revolutions of communication networks and key technologies for AI-driven revolution[J].Telecommunications Science, DOI：10.11959/j.issn.1000−0801.2026120.

摘要

系统梳理了通信网络几十年的发展变化，提出了通信网络大约每十年发生一次具有里程碑意义的重大变革的规律，即从最初的电路交换开始，发生了IP化变革、IT化变革和正在进行中的AI化变革这三次变革。系统总结分析了这三次变革并重点剖析了AI化变革：网络IP化通过从电路交换到分组交换和从交换IP化到端到端全IP化的演进，实现了数据业务的高效承载；网络IT化基于软件定义网络（software defined network，SDN）/网络功能虚拟化（network functions virtualization，NFV）等技术，推动了通信网络架构由封闭、刚性向开放、弹性的转变；网络AI化的核心在于“网络使能AI”与“AI赋能网络”的双向赋能，前者旨在构建支撑超大规模智算的高性能互联底座，后者将AI深度融入网络系统，推动网络运行、网络运维以及应用与服务向目标驱动、全域自主的“智能原生”范式演进。最后，对未来通信网络发展进行了展望，提出未来“AI+”时代将推动通信网络从单纯的连接基础设施向智能化、服务化的新型信息基础设施转型和升级。

Abstract

The development of communication networks over several decades was systematically reviewed

and the law that communication networks undergo a landmark major revolution approximately every decade was proposed.Starting from the initial circuit switching

there had been three revolutions: the IP-based revolution

the IT-based revolution

and the ongoing AI-driven revolution. These three revolutions with a focus on the AI- driven one were summarized and analyzed: the IP-based revolution enabled highly efficient data transmission by evolving from circuit switching to packet switching and from IP-based switching to end-to-end IP networking

the IT-based revolution

driven by technologies such as software defined network (SDN) and network functions virtualization (NFV) etc

upgraded communication network architectures from closed and rigid to open and elastic

The key points of the AI-driven revolution were “network enabling AI” and “AI empowering network”. The former aimed to construct a high-performance interconnection base for ultra-large-scale intelligent computing

while the latter integrated AI deeply into network systems

promoting the evolution of network operation

network maintenance

as well as applications and services towards a goal-driven

fully autonomous “intelligence-native” paradigm. Finally

the prospect of the future development of communication networks was prospected

and it was proposed the future “AI+” era would drive the transformation and upgrading of communication networks from mere connectivity infrastructure to intelligent and service-oriented new information infrastructure.

关键词

Keywords

references

崔海东 . 移动网络IP化的趋势、内涵和策略 [J ] . 现代电信科技 , 2008 , 38 ( 4 ): 26 - 30, 36 .

Cui H D . Trends, connotation and policy for mobile network IP-based [J ] . Modern Science & Technology of Telecommunications , 2008 , 38 ( 4 ): 26 - 30, 36 .

Wang W W , He M Z . Softswitch for the next generation network (NGN) [C ] // Proceedings of the 2009 Global Mobile Congress . Piscataway : IEEE Press , 2009 : 1 - 4 .

李勤 . LTE-A回传网解决方案研究 [J ] . 电信技术 , 2016 ( 1 ): 23 - 27 .

Li Q . Research on LTE-A backhaul network solution [J ] . Telecommunications Technology , 2016 ( 1 ): 23 - 27 .

Sánchez-Esguevillas A , Carro B , Camarillo G , et al . IMS: the new generation of Internet-protocol-based multimedia services [J ] . Proceedings of the IEEE , 2013 , 101 ( 8 ): 1860 - 1881 .

Feng Y X , Xiang D , Ma K S . A scalable methodology for designing efficient interconnection network of chiplets [C ] // Proceedings of the 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA) . Piscataway : IEEE Press , 2023 : 1059 - 1071 .

Zu Y , Ghaffarkhah A , Dang H V , et al . Resiliency at scale: managing Google’s TPUv4 machine learning supercomputer [C ] // Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24). 2024 : 761 - 774 .

Li A , Song S L , Chen J Y , et al . Evaluating modern GPU interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect [J ] . IEEE Transactions on Parallel and Distributed Systems , 2020 , 31 ( 1 ): 94 - 110 .

Gangidi A , Miao R , Zheng S B , et al . RDMA over Ethernet for distributed training at meta scale [C ] // Proceedings of the ACM SIGCOMM 2024 Conference . New York : ACM , 2024 : 57 - 70 .

Lee H S . Toward disaggregated and heterogenous AI systems [J ] . IEEE Micro , 2025 , 45 ( 3 ): 4 - 5 .

中国移动通信研究院 . 面向AI大模型的智算中心网络演进白皮书 [R ] . 2023-05-10 .

China Mobile Research Institution . White paper on the evolution of intelligent computing center network for AI large models [R ] . 2023-05-10 .

段晓东 , 程伟强 , 王瑞雪 , 等 . 面向新型智能计算中心的全调度以太网技术 [J ] . 中兴通讯技术 , 2023 , 29 ( 4 ): 57 - 63 .

Duan X D , Cheng W Q , Wang R X , et al . Global scheduling Ethernet for new intelligent computing center [J ] . ZTE Technology Journal , 2023 , 29 ( 4 ): 57 - 63 .

段晓东 , 李婕妤 , 程伟强 , 等 . 面向智算中心的新型以太网需求与关键技术 [J ] . 电信科学 , 2024 , 40 ( 6 ): 146 - 159 .

Duan X D , Li J Y , Cheng W Q , et al . Challenges and key technologies of new Ethernet for intelligent computing center [J ] . Telecommunications Science , 2024 , 40 ( 6 ): 146 - 159 .

中国移动通信有限公司研究院 . 面向新型智算中心的以太网弹性通道（FlexLane）技术白皮书 [R ] . 2025-04-24 .

China Mobile Communications Corporation Research Institute . Ethernet FlexLane technology white paper for new artificial intelligence data center [R ] . 2025-04-24 .

Hua X L , Li Q , Zhang Z , et al . CSDnet: causal inference aided handover parameter adjusting effect estimation in cellular networks [C ] // Proceedings of the ICC 2023-IEEE International Conference on Communications . Piscataway : IEEE Press , 2023 : 5304 - 5309 .

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