Intelligent Reflecting Surface Aided Wireless Networks: From Single-Reflection to Multi-Reflection Design and Optimization
Weidong Mei, Beixiong Zheng, Changsheng You, Rui Zhang

TL;DR
This paper provides a comprehensive overview of multi-IRS aided wireless networks, highlighting the challenges and new design paradigms for optimizing multi-reflection signal routing and system performance.
Contribution
It introduces the concept of multi-IRS cooperation, discusses the associated design challenges, and outlines innovative optimization approaches for multi-reflection wireless systems.
Findings
Multi-IRS systems can significantly enhance wireless link capacity.
Designing multi-IRS systems involves complex reflection optimization and channel acquisition.
Future research directions include advanced beamforming and deployment strategies.
Abstract
Intelligent reflecting surface (IRS) has emerged as a promising technique for wireless communication networks. By dynamically tuning the reflection amplitudes/phase shifts of a large number of passive elements, IRS enables flexible wireless channel control and configuration, and thereby enhances the wireless signal transmission rate and reliability significantly. Despite the vast literature on designing and optimizing assorted IRS-aided wireless systems, prior works have mainly focused on enhancing wireless links with single signal reflection only by one or multiple IRSs, which may be insufficient to boost the wireless link capacity under some harsh propagation conditions (e.g., indoor environment with dense blockages/obstructions). This issue can be tackled by employing two or more IRSs to assist each wireless link and jointly exploiting their single as well as multiple signal…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Antenna and Metasurface Technologies · Antenna Design and Analysis
