Frontiers of Data and Computing ›› 2020, Vol. 2 ›› Issue (3): 32-44.doi: 10.11871/jfdc.issn.2096-742X.2020.03.003

• Special Issue: Next Generation Internet Technology & Application • Previous Articles     Next Articles

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;;;;;


[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