期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 21, 期 1, 页码 591-606出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3098521
关键词
Mobile communication; Upper bound; Antennas; Antenna arrays; Wireless communication; Real-time systems; Rayleigh channels; Dual polarization; RIS-assisted mobile communications
资金
- National Natural Science Foundation for Distinguished Young Scholars of China [61625106]
- National Natural Science Foundation of China [61971126]
This paper investigates the performance of a dual-polarized RIS-assisted mobile communication system under practical polarization imperfections. An upper bound of the ergodic spectrum efficiency is provided, and an approximate optimal RIS phase shift design is proposed based on this bound.
Reconfigurable intelligent surface (RIS) has drawn worldwide attention because of its attractive capability to improve the electromagnetic propagation environment and surprising advantages of low cost and low power consumption. Recently, RIS is further advanced to realize the independent control of two orthogonal polarizations in real time. In this paper, we study the dual-polarized RIS-assisted mobile communication system and investigate its performance under practical polarization imperfections. Specifically, we provide a tight upper bound of the ergodic spectrum efficiency. Through the bound, we find that the performance is greatly dependent on the polarization imperfections and RIS phase shifts of the RIS-assisted link, when the number of base station antennas is large enough and the deterministic component exists in the RIS-assisted link. On basis of this tight bound, we propose an approximate optimal RIS phase shift design to maximize the ergodic spectrum efficiency upper bound and emphasize the necessity to make phase adjustment between two polarizations of the RIS. Theoretical analysis further gives guidance for the configuration of RIS. Numerical results demonstrate that the upper bound is very tight and the proposed phase shift design with adjustment is approximate optimal.
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