Edge Intelligence for 6G Networks

作     者：Haifeng Zheng Lin Gao Zhiyong Chen Liang Xiao Haifeng Zheng;Lin Gao;Zhiyong Chen;Liang Xiao

作者机构：the College of Physics and Information EngineeringFuzhou UniversityChina the School of Electronics and Information EngineeringHarbin Institute of TechnologyShenzhenChina the Cooperative Medianet Innovation CenterShanghai Jiao Tong University(SJTU)ShanghaiChina the Department of Information and Communication EngineeringXiamen UniversityXiamenChina 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2022年第19卷第8期

页      面：I0003-I0005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] 

主　　题：networks driving smart 

摘      要：With the rapid development of smart terminals and infrastructures,as well as diversified applications(e.g.,autonomous driving,virtual and augmented reality,space-air-ground integrated networks)with colorful demands,current networks(e.g.,4G and 5G networks)may not be well suited to the requirements of novel applications and ***,efforts from both the industry and academia have been made on the research into 6G networks,artificial intelligence(AI)will play a pivotal role in the design and optimization of 6G networks.