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  5. An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems

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Article
English
2022

An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems

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English
2022
IEEE Journal of Selected Topics in Signal Processing
Vol 16 (5)
DOI: 10.1109/jstsp.2022.3195671

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Rui Zhang
Rui Zhang

The Chinese University of Hong Kong

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Cunhua Pan
Gui Zhou
Kangda Zhi
+8 more

Abstract

In the past as well as present wireless communication systems, the wireless propagation environment is regarded as an uncontrollable black box that impairs the received signal quality, and its negative impacts are compensated for by relying on the design of various sophisticated transmission/reception schemes. However, the improvements through applying such schemes operating only at two endpoints (i.e., transmitter and receiver) are limited even after five generations of wireless systems. Reconfigurable intelligent surface (RIS) or intelligent reflecting surface (IRS) have emerged as a new and promising technology that can configure the wireless environment in a favorable manner by properly tuning the phase shifts of a large number of quasi passive and low-cost reflecting elements, thus standing out as a promising candidate technology for the next/sixth-generation (6G) wireless system. However, to reap the performance benefits promised by RIS/IRS, efficient signal processing techniques are crucial, for a variety of purposes such as channel estimation, transmission design, radio localization, and so on. In this paper, we provide a comprehensive overview of recent advances on RIS/IRS-aided wireless systems from the signal processing perspective.We also highlight promising research directions that are worthy of investigation in the future.

How to cite this publication

Cunhua Pan, Gui Zhou, Kangda Zhi, Sheng Hong, Tuo Wu, Yijin Pan, Hong Ren, Marco Di Renzo, A. Lee Swindlehurst, Rui Zhang, Ying–Jun Angela Zhang (2022). An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems. IEEE Journal of Selected Topics in Signal Processing, 16(5), pp. 883-917, DOI: 10.1109/jstsp.2022.3195671.

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Publication Details

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Article

Year

2022

Authors

11

Datasets

0

Total Files

0

Language

English

Journal

IEEE Journal of Selected Topics in Signal Processing

DOI

10.1109/jstsp.2022.3195671

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