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作 者:Changsheng You Beixiong Zheng Weidong Mei Rui Zhang
机构地区:[1]Department of Electronic and Electrical Engineering,Southern University of Science and Technology(SUSTech),Shenzhen 518055,China [2]Department of Electrical and Computer Engineering,National University of Singapore,Singapore 117583,Singapore [3]School of Microelectronics,South China University of Tech-nology,Guangzhou 511442,China
出 处:《Journal of Communications and Information Networks》2022年第1期1-10,共10页通信与信息网络学报(英文)
基 金:Ministry of Education,Singapore(T2EP50120-0024);the Advanced Research and Technology Innovation Centre(ARTIC)of National University of Singapore(R-261-518-005-720)。
摘 要:The performance of wireless communication systems is fundamentally constrained by the random and uncontrollable wireless channel. By leveraging the recent advances in digitally-controlled metasurface, intelligent reflecting surface (IRS) has emerged as a promising solution to enhance the wireless network performance by smartly reconfiguring the radio propagation environment. Despite the substantial research on IRS-aided communications, this article addresses the important issue of how to deploy IRSs in a wireless network to achieve its optimum performance. We first compare the two conventional strategies of deploying IRS at the side of base station or users in terms of various communication performance metrics,and then propose a new hybrid IRS deployment strategy by combining their complementary advantages. Moreover,the main challenges in optimizing IRS deployment as well as their promising solutions are discussed. Numerical results are also presented to compare the performance of different IRS deployment strategies and draw useful insights for practical design.
关 键 词:intelligent reflecting surface(IRS) IRS deployment double-IRS system cooperative beamforming channel estimation
分 类 号:TN92[电子电信—通信与信息系统]
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