A Predictive 6G Network with Environment Sensing Enhancement:From Radio Wave Propagation Perspective
A Predictive 6G Network with Environment Sensing Enhancement: From Radio Wave Propagation Perspective作者机构:State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing 100876China School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China Future Research LaboratoryChina Mobile Research InstituteBeijing 100053China
出 版 物:《China Communications》 (中国通信(英文版))
年 卷 期:2022年第19卷第6期
页 面:105-122页
核心收录:
学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统]
基 金:supported by the National Natural Science Foundation of China(No.92167202,61925102,U21B2014,62101069) the National Key R&D Program of China(No.2020YFB1805002)
主 题:6G network electromagnetic waves propagation characteristics prediction environment information sensing enhancement
摘 要:In order to support the future digital society,sixth generation(6G)network faces the challenge to work efficiently and flexibly in a wider range of *** traditional way of system design is to sequentially get the electromagnetic wave propagation model of typical scenarios firstly and then do the network design by simulation offline,which obviously leads to a 6G network lacking of adaptation to dynamic ***,with the aid of sensing enhancement,more environment information can be *** on this,from radio wave propagation perspective,we propose a predictive 6G network with environment sensing enhancement,the electromagnetic wave propagation characteristics prediction enabled network(EWave Net),to further release the potential of *** this end,a prediction plane is created to sense,predict and utilize the physical environment information in EWave Net to realize the electromagnetic wave propagation characteristics prediction timely.A two-level closed feedback workflow is also designed to enhance the sensing and prediction ability for EWave *** promising application cases of EWave Net are analyzed and the open issues to achieve this goal are addressed finally.