Smart and Reconfigurable Wireless Communications: From IRS Modeling to Algorithm Design
Xianghao Yu, Vahid Jamali, Dongfang Xu, Derrick Wing Kwan Ng, and, Robert Schober

TL;DR
This paper reviews IRS modeling techniques, compares their advantages, and proposes scalable optimization frameworks for IRS-assisted wireless systems, demonstrating applications in secure communications and SWIPT.
Contribution
It introduces a new IRS modeling framework based on tile partitioning and codebooks, and analyzes the impact of different models on system design and optimization.
Findings
Comparison of three IRS models in accuracy and complexity
Proposed scalable IRS optimization framework
Application to secure and SWIPT systems
Abstract
Intelligent reflecting surfaces (IRSs) have been introduced into wireless communications systems due to their great potential to smartly customize and reconfigure radio propagation environments in a cost-effective manner. Despite the promising advantages of IRSs, academic research on IRSs is still in its infancy. In particular, the design and analysis of IRS-assisted wireless communication systems critically depend on an accurate and tractable modeling of the IRS. In this article, we first present and compare three IRS models, namely the conventional independent diffusive scatterer-based model, physics-based model, and impedance network-based model, in terms of their accuracy, tractability, and hardware complexity. Besides, a new framework based on partitioning the IRS into tiles and employing codebooks of transmission modes is introduced to enable scalable IRS optimization. Then, we…
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