AI-EMPOWERED MILLIMETER WAVE COMMUNICATION AND NETWORKING

作     者：Wenjun Xu Chuan Huang Yongming Huang Chau Yuen Shuguang Cui 

作者机构：Beijing Univ Posts & Telecommun BUPT Sch Artificial Intelligence Beijing Peoples R China Minist Educ Key Lab Universal Wireless Commun Beijing Peoples R China Arizona State Univ Tempe AZ USA Princeton Univ Princeton NJ 08544 USA Chinese Univ Hong Kong Shenzhen Hong Kong Peoples R China Southeast Univ Sch Informat Sci & Engn Nanjing Peoples R China Lucent Technol Bell Labs Murray Hill NJ USA Inst Infocomm Res I2R Singapore Singapore Singapore Univ Technol & Design Singapore Singapore Univ Arizona Elect & Comp Engn Tucson AZ 85721 USA Texas A&M Univ College Stn TX 77843 USA Univ Calif Davis Davis CA USA CUHK Shenzhen Peoples R China Shenzhen Res Inst Big Data Shenzhen Peoples R China 

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

年 卷 期：2020年第17卷第10期

页      面：97-99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：beyond communication millimeter 

摘      要：Thanks to the abundant and attractive spectrum resource in the millimeter-wave(mmWave)band,mmWave technologies have been widely applied to the fifth-generation(5G)mobile communication system and will continuously evolve towards the future beyond 5G systems as ***,achieving the pervasive application of mmWave for 5G and beyond still faces many challenges,for example,the severe path-loss and vulnerability in blockage of mmWave propagation may have a great impact on mmWave communication and networking.