Resource Allocation for RIS-Empowered Wireless Communications: Low-Complexity and Robust Designs
Ming Zeng, Wanming Hao, Zhangjie Peng, Zheng Chu, Xingwang Li,, Changsheng You, Cunhua Pan

TL;DR
This paper reviews low-complexity and robust resource allocation methods for RIS-assisted wireless systems, emphasizing practical solutions to hardware impairments and large-scale RIS deployment challenges.
Contribution
It introduces novel low-complexity and robust resource allocation techniques specifically designed for RIS-based systems, addressing hardware impairments and scalability issues.
Findings
Demonstrates effectiveness of proposed low-complexity algorithms
Shows robustness of methods against hardware impairments
Provides numerical results validating approaches
Abstract
This article delves into advancements in resource allocation techniques tailored for systems utilizing reconfigurable intelligent surfaces (RIS), with a primary focus on achieving low-complexity and resilient solutions. The investigation of low-complexity approaches for RIS holds significant relevance, primarily owing to the intricate characteristics inherent in RIS-based systems and the need of deploying large-scale RIS arrays. Concurrently, the exploration of robust solutions aims to address the issue of hardware impairments occurring at both the transceivers and RIS components in practical RIS-assisted systems. In the realm of both low-complexity and robust resource allocation, this article not only elucidates the fundamental techniques underpinning these methodologies but also offers comprehensive numerical results for illustrative purposes. The necessity of adopting resource…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Antenna and Metasurface Technologies · Satellite Communication Systems
