Journal on Communications ›› 2021, Vol. 42 ›› Issue (4): 62-75.doi: 10.11959/j.issn.1000-436x.2021095

Special Issue: 6G

• Topics: Strategic Technologies to Massive Connecting for the Future Mobile Networks • Previous Articles     Next Articles

Three-three-three network architecture and learning optimization mechanism for B5G/6G

Jinkang ZHU1,2, Mingyang CHAI1,2, Wuyang ZHOU1,2   

  1. 1 College of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China
    2 Key Laboratory of Wireless Optical Communications, Chinese Academy of Sciences, Hefei 230027, China
  • Revised:2021-03-15 Online:2021-04-25 Published:2021-04-01
  • Supported by:
    The National Key Research and Development Program of China(2018YFB1801105);The National Natural Science Foundation of China(61631018)

Abstract:

Aiming at the problem that the future B5G/6G network is a complex intelligent network with large connections, coupled with the comprehensive application of 3G, 4G, 5G and even 6G, the future networks will inevitably become extremely complex, a three-three-three network architecture was proposed that was a network that includes three types of networks (core network, access network and terminal network), three resources (frequency band, power and time consumptions) and three requirements (active, work and service), which was a three-dimensional comprehensive optimization system architecture, referred to as the three-three-three network.Furthermore, the mathematical basic formulas of the three-dimensional complex network were analyzed, the knowledge + data-driven learning model and the optimization method of intelligent processing using the knowledge learning mechanism were presented.Finally, the numerical example and reachable performance of the three-three-three network were given.Those results demonstrate that the proposed network architecture and the learning optimization mechanism are beneficial for designing future large-connected complex intelligent networks.

Key words: three-three-three network architecture, knowledge learning mechanism, knowledge + data driving learning model, real-time dynamic optimization of complex network, large connections to complex intelligent network

CLC Number: 

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