Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design
Peilan Wang, Jun Fang, Xiaojun Yuan, Zhi Chen, Huiping Duan, and, Hongbin Li

TL;DR
This paper proposes a joint active and passive precoding design for IRS-assisted millimeter wave communications, demonstrating significant power gains and robustness improvements against blockages through analytical solutions and simulations.
Contribution
It introduces a novel joint precoding framework for IRS-assisted mmWave systems with closed-form solutions, enhancing coverage and blockage resilience.
Findings
Received signal power increases quadratically with IRS elements.
Optimal solutions are derived for single IRS; near-optimal for multiple IRSs.
IRSs significantly improve blockage robustness in mmWave systems.
Abstract
Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, the severe path loss and high directivity make it vulnerable to blockage events, which can be frequent in indoor and dense urban environments. To address this issue, in this paper, we introduce intelligent reflecting surface (IRS) as a new technology to provide effective reflected paths to enhance coverage of mmWave signals. In this framework, we study joint active and passive precoding design for IRS-assisted mmWave systems, where multiple IRSs are deployed to assist the data transmission from a base station (BS) to a single-antenna receiver. Our objective is to maximize the received signal power by jointly optimizing the transmit precoding vector at the BS and the phase shift parameters used by IRSs for passive beamforming. Although such an…
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