数据与计算发展前沿 ›› 2020, Vol. 2 ›› Issue (3): 32-44.

doi: 10.11871/jfdc.issn.2096-742X.2020.03.003

所属专题： 下一代互联网络技术与应用

• 专刊：下一代互联网络技术与应用（上） • 上一篇    下一篇

面向未来6G网络的智能管控架构与关键技术

喻鹏(),李文璟(),丰雷(),周凡钦(),杨杨(),邱雪松()   

  1. 北京邮电大学,网络与交换技术国家重点实验室,北京 100876
  • 收稿日期:2020-03-31 出版日期:2020-06-20 发布日期:2020-08-19
  • 通讯作者: 邱雪松
  • 作者简介:喻鹏,北京邮电大学网络与交换技术国家重点实验室,副教授,博士生导师。研究方向为无线网络管理和优化、自主管理和绿色通信等。IEEE / ACM / CCF会员。
    在本文负责6G网络智能管控架构研究。
    Yu Peng, is an associate professor and a Ph.D. supervisor at State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. His research interests include wireless network management and optimization, self-organizing networks and green communications. He is a member of ACM/IEEE/CCF as well.
    He is mainly responsible for the research of intelligent management and control architecture of 6G networks.
    E-mail: yupeng@bupt.edu.cn|李文璟,北京邮电大学网络与交换技术国家重点实验室,网络管理研究中心主任,教授,博士生导师,中国通信标准化协会 TC7/WG1 组长。研究方向为无线网络管理和自组织网络。
    在本文中负责6G网络管控需求分析。
    Li Wenjing, is currently a Professor and Ph.D supervisor at State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. She serves as the Director with Network Management Research Center. Meanwhile, she is the Leader of TC7/WG1 in the China Communications Standards Association (CCSA). Her research interests are wireless network management and self-organizing networks.
    She is mainly responsible for the requirement analysis of intelligent management and control in 6G networks.
    E-mail: wjli@bupt.edu.cn|丰雷,北京邮电大学网络与交换技术国家重点实验室,副教授,硕士生导师。研究方向为无线网络和智能电网的资源管理。
    在本文中负责6G智能管控挑战分析。
    Feng Lei, is an associate professor and a M.S. supervisor at State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. His research interests are resources management in wireless networks and smart grid.
    He is mainly responsible for the challenge analysis of intelligent management and control in 6G networks.
    E-mail: fenglei@bupt.edu.cn|周凡钦,北京邮电大学网络与交换技术国家重点实验室,博士后。研究方向为无线异构网络的资源管理和负载均衡。
    在本文中负责国内外研究现状调研。
    Zhou Fanqin, is a postdoctoral fellow at State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. His research interests include resources management and load balancing in multi-RAT heterogeneous networks.
    He is mainly responsible for investigation of domestic and foreign research status.
    E-mail: fqzhou2012@bupt.edu.cn|杨杨,北京邮电大学网络与交换技术国家重点实验室,副教授,博士生导师。研究方向为无线传感网应用与大数据分析、故障管理。
    在本文中负责6G智能化管控关键技术研究。
    Yang Yang, is an associate professor and a Ph.D. supervisor at State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. Her research interests include sensors network applications, big data analysis and fault management.
    She is mainly responsible for the research of key technologies of intelligent management and control architecture of 6G networks.
    E-mail: yyang@bupt.edu.cn|邱雪松,北京邮电大学网络与交换技术国家重点实验室,副主任,网络技术研究院副院长,教授,博士生导师,IEEE高级会员。研究方向为网络管理与通信软件。已发表EI/SCI检索论文100余篇,在网络和服务管理领域主持了国家863课题,国家自然基金等多项国家级项目。
    在本文中负责整体架构和论文思路。
    Qiu Xuesong, is currently the Associate Dean of State Key Laboratory of Networking and Switching Technology and Institute of Network Technology, Beijing University of Posts and Telecommunications. He is a professor and a Ph.D. Supervisor as well. He has authored about 100 SCI/EI indexed papers. He presided over a series of key research projects on network and service management, including projects supported by the National Natural Science Foundation and the National HighTech Research and Development Program of China.
    He is mainly responsible for the entire organization and methodology of this paper.
    E-mail: xsqiu@bupt.edu.cn
  • 基金资助:
    国家重点研发计划(2018YFE0205502)

Intelligent Network Management and Control Architecture and Key Technologies for Future 6G Networks

Yu Peng(),Li Wenjing(),Feng Lei(),Zhou Fanqin(),Yang Yang(),Qiu Xuesong()   

  1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2020-03-31 Online:2020-06-20 Published:2020-08-19
  • Contact: Qiu Xuesong

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摘要：

【目的】6G网络被认为是面向未来网络2030的新一代通信技术,本文旨在面向未来6G网络需求,提出一种可参考的智能化管控架构。【应用背景】该架构将集成不同类型的人工智能算法模型,用于解决高度弹性动态的6G网络“网络随需即用”的问题。【方法】本文通过调研近年来国内外标准化和研究进展,梳理了6G网络智能管控需求和面临的挑战,提出了对应的解决方案。【结果】基于6G智能内生网络的概念,提出了6G网络的智能化管控架构,分析了6G网络智能化管控功能和所需的关键技术。【局限】论文提出的管控架构和关键技术,需要进一步的系统或者原型验证。【结论】智能内生是6G网络的重要特征之一,人工智能技术在6G网络的管控中将起到核心的支撑作用,为资源按需调度和网络伴随服务提供泛在的可靠保障。

关键词: 6G网络, 人工智能, 管控需求, 管控架构, 管理功能

Abstract:

[Objective] 6G is considered as the next-generation network communication technology to network 2030. This paper proposes an intelligent management and control architecture for 6G networks in the term for network demands. [Application background] The architecture will integrate different types of artificial intelligence algorithm models, to solve the “network on demand” problem for highly resilient and dynamic 6G networks. [Methods] This paper first investigates the relevant literatures and the standardization progress in recent years, analyzes the requirements for 6G intelligent management and control, and the challenges faced by existing management and control technologies, and finally proposes corresponding solutions. [Results] Based on the concept of the 6G intelligent endogenous network, an intelligent management and control architecture of the 6G network is proposed, and the intelligent management and control function of the 6G network constructed with key technologies are described as well. [Limitations] The control architecture and key technologies proposed in this paper require further systematic verification with a prototype. [Conclusions] Endogenous intelligence is one of the important characteristics of 6G networks. Artificial intelligence technology will also play a core supporting role in the management and control of 6G networks, which provides ubiquitous and reliable guarantees for resource on-demand scheduling and network accompanying services.

Key words: 6G networks, artificial intelligence, management and control requirement, management and control architecture, management functions