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

Ziyu XIAO

doi:10.11959/j.issn.1000-0801.2020271

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

Topic:5G Commercial and Evolution | 更新时间：2024-06-05

- A review of key technologies for the future of the 2030 network——Beyond 5G
- Telecommunications Science Vol. 36, Issue 9, Pages: 114-121(2020)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2020271
  CLC： TP393
- Published Online：2020-09，
  
  Published：20 September 2020
- 稿件说明：
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Ziyu XIAO. A review of key technologies for the future of the 2030 network——Beyond 5G[J]. Telecommunications science, 2020, 36(9): 114-121.
DOI：

Ziyu XIAO. A review of key technologies for the future of the 2030 network——Beyond 5G[J]. Telecommunications science, 2020, 36(9): 114-121. DOI： 10.11959/j.issn.1000-0801.2020271.

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。

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.

关键词

Keywords

references

ITU-T . Network 2030-a blueprint of technology,applications and market drivers towards the year 2030 and beyond [S ] . 2019 .

ITU-T . Sub-g2 new services and capabilities for network 2030:description,technical gap and performance target analysis [S ] . 2019 .

ITU-T . Network 2030-description of demonstrations for network 2030 on sixth ITU workshop on network 2030 and demo day [S ] . 2020 .

ITU-T . Architectural framework for machine learning in future networks including IMT-2020 [S ] . 2020 .

马洪源 , 肖子玉 , 卜忠贵 . 面向5G的核心网演进 [J ] . 电信科学 , 2019 , 35 ( 9 ): 135 - 143 .

MA H Y , XIAO Z Y , BU Z G . Evolution of core network oriented to 5G [J ] . Telecommunications Science , 2019 , 35 ( 9 ): 135 - 143 .

杨旭 , 肖子玉 , 邵永平 . 5G网络部署模式选择及演进策略 [J ] . 电信科学 , 2018 , 34 ( 6 ): 138 - 146 .

YANG X , XIAO Z Y , SHAO Y P . Deployment mode selection and evolution strategy of 5G network [J ] . Telecommunications Science , 2018 , 34 ( 6 ): 138 - 146 .

马洪源 , 肖子玉 , 卜忠贵 . 5G 边缘计算技术及应用展望 [J ] . 电信科学 , 2019 , 35 ( 6 ): 114 - 123 .

MA H Y , XIAO Z Y , BU Z G . 5G edge computing technology and application prospects [J ] . Telecommunications Science , 2019 , 35 ( 6 ): 114 - 123 .

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