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  5. Editorial Introduction to the Issue on Advanced Signal Processing for Reconfigurable Intelligent Surface-Aided 6G Networks

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Article
English
2022

Editorial Introduction to the Issue on Advanced Signal Processing for Reconfigurable Intelligent Surface-Aided 6G Networks

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English
2022
IEEE Journal of Selected Topics in Signal Processing
Vol 16 (5)
DOI: 10.1109/jstsp.2022.3193269

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Rui Zhang
Rui Zhang

The Chinese University of Hong Kong

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Cunhua Pan
Rui Zhang
Marco Di Renzo
+2 more

Abstract

The papers in this special issue aim to report on the latest advances in signal processing for reconfigurable intelligent surface (RIS)-aided 6G networks with focus on theoretical development, algorithmic design, and future applications.RIS or intelligent reflecting surface (IRS) technology has been widely regarded as one of the most promising techniques to deal with the blockage issue in millimeter-wave (mmWave) communications. An RIS is a planar surface consisting of an array of nearlypassive reflecting elements, each of which can independently induce an controllable phase shift on the incident signal. By installing RIS on walls or ceilings, a virtual line-of-sight (LoS) link between a mmWave base station (BS) and the users can be established so as to bypass any blockage between them. In addition, RIS is a promising technology for applications in conventional sub-6 GHz communications. Specifically, by judiciously adjusting the phase shifts of the reflecting elements, the reflected signals can be constructively superimposed (even with the direct path if it is available) to enhance the desired signal power or can be cancelled out to mitigate the impact of co-channel interference or signal leakage to eavesdroppers. Since the elements of an RIS reflect the incoming signals without any signal processing operations that require radio-frequency (RF) chains, an RIS has a lower implementation cost than conventional active receivers and transmitters. An RIS can be fabricated with light weight and small-thickness layers, and thus can be readily integrated into the environment.

How to cite this publication

Cunhua Pan, Rui Zhang, Marco Di Renzo, A. Lee Swindlehurst, Ying–Jun Angela Zhang (2022). Editorial Introduction to the Issue on Advanced Signal Processing for Reconfigurable Intelligent Surface-Aided 6G Networks. IEEE Journal of Selected Topics in Signal Processing, 16(5), pp. 880-882, DOI: 10.1109/jstsp.2022.3193269.

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Publication Details

Type

Article

Year

2022

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

IEEE Journal of Selected Topics in Signal Processing

DOI

10.1109/jstsp.2022.3193269

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