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作 者:Miguel Dajer Zhengxiang Ma Leonard Piazzi Narayan Prasad Xiao-Feng Qi Baoling Sheen Jin Yang Guosen Yue
机构地区:[1]Wireless Access Lab,Futurewei Technologies,Inc.,Bridgewater,NJ,08807,USA
出 处:《Digital Communications and Networks》2022年第2期87-104,共18页数字通信与网络(英文版)
摘 要:In this paper,we survey state-of-the-art research outcomes in the burgeoning field of Reconfigurable Intelligent Surface(RIS),given its potential for significant performance enhancement of next-generation wireless communication networks by means of adapting a propagation environment.Emphasis has been placed on several aspects gating the commercial viability of future network deployment.Comprehensive summaries are provided for practical hardware design considerations and broad implications of artificial intelligence techniques,as are in-depth outlooks on the salient aspects of system models,use cases,and physical layer optimization techniques.
关 键 词:Reconfigurable intelligent surface MIMO Channel estimation Beamforming REFLECTARRAY Transmitarray Machine learning Deep learning
分 类 号:TN92[电子电信—通信与信息系统]
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