4.7 Article

Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design

期刊

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 20, 期 7, 页码 4513-4526

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3059945

关键词

Intelligent reflecting surface (IRS); distributed IRSs; cooperative passive beamforming; IRS deployment; multi-user multiple-input multiple-output (MIMO)

资金

  1. National University of Singapore [R-261-518-005-720]

向作者/读者索取更多资源

Intelligent reflecting surfaces (IRS) have become a cost-effective technology for achieving smart and reconfigurable wireless communication environments. This paper studies a double-IRS assisted multi-user communication system with cooperative passive beamforming design, showing superior performance over conventional single-IRS systems in terms of signal-to-noise ratio and multi-user effective channel rank.
Intelligent reflecting surface (IRS) has emerged as an enabling technology to achieve smart and reconfigurable wireless communication environment cost-effectively. Prior works on IRS mainly consider its passive beamforming design and performance optimization without the inter-IRS signal reflection, which thus do not unveil the full potential of multi-IRS assisted wireless networks. In this paper, we study a double-IRS assisted multi-user communication system with the cooperative passive beamforming design that captures the multiplicative beamforming gain from the inter-IRS channel. Under the general channel setup with the co-existence of both double- and single-reflection links, we jointly optimize the (active) receive beamforming at the base station (BS) and the cooperative (passive) reflect beamforming at the two distributed IRSs (deployed near the BS and users, respectively) to maximize the minimum signal-to-interference-plus-noise ratio (SINR) of all users. Moreover, for the single-user and multi-user setups, we analytically show the superior performance of the double-IRS cooperative system over the conventional single-IRS system in terms of the maximum signal-to-noise ratio (SNR) and multi-user effective channel rank, respectively. Simulation results validate our analytical results and show the practical advantages of the proposed double-IRS system with cooperative passive beamforming designs.

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