电信科学 ›› 2020, Vol. 36 ›› Issue (9): 114-121.doi: 10.11959/j.issn.1000-0801.2020271

• 专栏：5G商用与演进 • 上一篇    下一篇

面向2030的未来网络关键技术综述——Beyond 5G

肖子玉   

  1. 中国移动通信集团设计院有限公司，北京 100080
  • 修回日期:2020-09-01 出版日期:2020-09-20 发布日期:2020-09-27
  • 作者简介:肖子玉（1969- ），女，中国移动通信集团设计院有限公司网络所总工程师、教授级高级工程师，主要从事通信工程咨询、设计和研究工作

A review of key technologies for the future of the 2030 network——Beyond 5G

Ziyu XIAO   

  1. China Mobile Group Design Institute Co.,Ltd.,Beijing 100080,China
  • Revised:2020-09-01 Online:2020-09-20 Published:2020-09-27

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摘要：

ITU-T SG13于2018年设立了FG Network 2030焦点组开展为期两年的研究，聚焦未来网络需求和场景，对未来网络能力和关键技术架构进行研究，并提出面向未来研究方向的建议。针对业界关注度较高的重点技术发展方向，跟踪了ITU-T SG13面向未来网络架构工作组对Beyond 5G及FG Network 2030的网络需求和关键技术研究，重点介绍了面向2030的网络需求和挑战，详细分析了确定性网络涉及的关键技术演进、异构网络互通的New IP架构以及面向未来网络的机器学习架构、5G网络中应用机器学习架构。

关键词: Beyond5G, 确定性网络, 机器学习, NewIP

Abstract:

ITU-T SG13 established a Focus Group of Network 2030 in 2018 for a two-year study period.FG NET-2030 focuses on the network requirements,scenarios and the network capabilities of the future network,and proposes the key technologies and study directions of the next study period in SG13.Focus on key technology development directions that the industry pays more attention,the network requirements and key technologies of the ITU-T Future Network Architecture Working Group for Beyond 5G and Network 2030 was tracked.The network requirements and challenges for 2030 was summarized,and the key technologies and evolution trends of deterministic networks,new IP architectures,the network-based machine learning architectures and a use case of machine learning applications in 5G network were analyzed.

Key words: Beyond 5G, deterministic network, machine learning, New IP

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