首页 | 本学科首页   官方微博 | 高级检索  
     

面向B5G/6G的三三三网络体系架构和优化学习机制
引用本文:朱近康,柴名扬,周武旸. 面向B5G/6G的三三三网络体系架构和优化学习机制[J]. 通信学报, 2021, 0(4): 62-75
作者姓名:朱近康  柴名扬  周武旸
作者单位:中国科学技术大学信息科学技术学院;中国科学院无线光通信重点实验室
基金项目:国家重点研发计划基金资助项目(No.2018YFB1801105);国家自然科学基金资助项目(No.61631018)。
摘    要:面对未来B5G/6G网络是大连接复杂智能网络,极其大量的用户连接、需求连接、服务连接,加之3G、4G、5G甚至6G的综合运用,将导致网络变得极其复杂的挑战,提出了一种三三三网络体系架构,它是一个包含3类网络(核心网、接入网、终端网)、3种资源(频率带宽、功耗、时延)和3项需求(生活、工作、服务)的三维立体综合优化的体系...

关 键 词:三三三网络体系架构  知识学习机制  知识+数据驱动学习模型  复杂网络实时动态优化  大连接复杂智能网络

Three-three-three network architecture and learning optimization mechanism for B5G/6G
ZHU Jinkang,CHAI Mingyang,ZHOU Wu. Three-three-three network architecture and learning optimization mechanism for B5G/6G[J]. Journal on Communications, 2021, 0(4): 62-75
Authors:ZHU Jinkang  CHAI Mingyang  ZHOU Wu
Affiliation:(College of Information Science and Technology,University of Science and Technology of China,Hefei 230027,China;Key Laboratory of Wireless Optical Communications,Chinese Academy of Sciences,Hefei 230027,China)
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.
Keywords: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
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号