Reconfigurable Intelligent Surface (RIS) for Wireless Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 13513

Special Issue Editors

Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Interests: machine learning; intelligent reflecting surface (IRS) / reconfigurable intelligent surface (RIS); unmanned aerial vehicle; edge computing; vehicular communications; ultra-reliable low-latency communication

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Guest Editor
Department of Electrical and Electronics Engineering, Koç University, Sariyer 34450, Istanbul, Turkey
Interests: MIMO systems; index modulation; reconfigurable intelligent surfaces; waveform design; visible light communications; signal processing for communications

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Guest Editor
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Interests: intelligent reflecting surface; massive MIMO; ultra-reliable and low-latency communication

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Guest Editor
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China
Interests: index modulation; OTFS; OFDM; non-orthogonal multiple access; mobile edge computing; physical-layer security
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Special Issue Information

Dear Colleagues,

Intelligent reflecting surface (IRS), also known as reconfigurable intelligent surface (RIS) or smart radio-aided wireless communications have spurred much attention in both industry and academic communities, due to the fact that it can improve both the spectrum and energy efficiency for future wireless systems. IRS can artificially and intelligently reconfigure the wireless propagation environment by adjusting the phase shifts of the reflecting elements in IRS and therefore can customize the wireless channels based on design objectives. For instance, the reflected signals can be constructively added to enhance the received power at the desired users, or destructively superimposed at unintended users for reducing the multiuser interference or avoiding information leakage to the eavesdroppers. In addition, IRS has the features of small size, light weight, simple structure and low power consumption due to the fact the active radio frequency (RF) chains or other signal processing units are no longer needed. More importantly, IRS can be mounted on indoor ceilings, walls, advertisement board and streetlamps. Due to the above-mentioned benefits, IRS-empowered communication has been considered as the most promising technologies in future 6G communications and beyond.

This special issue aims to provide a venue for the authors to share their research results on the advances in IRS-aided wireless communication networks and serve as a stimulus to promote and accelerate the development of the novel algorithm in the future 6G communications and beyond.

Topics of interest include (but are not limited to) the following:

  • Testbeds development and experimental measurements in IRS-assisted wireless communications
  • Channel modeling for IRS-assisted communication systems
  • Channel estimation solutions for IRS-aided wireless communications
  • Robust transmission design for IRS-aided communications
  • IRS-aided communications with statistical/partial channel state information
  • Theoretical performance analysis for IRS-aided communications
  • Novel transceiver design and optimization schemes for IRS-aided communications
  • Deployment optimization for IRS-aided communications
  • Cross-layer design for IRS-aided communications
  • IRS-aided mmWave/Terahertz/visible light communication
  • IRS-aided wireless power transfer communication
  • IRS-aided mobile edge computing system
  • IRS-aided physical layer security techniques
  • IRS-aided vehicle communications
  • Artificial intelligence-empowered IRS-aided communication systems
  • IRS-aided satellite communications

Dr. Kezhi Wang
Prof. Dr. Ertugrul Basar
Prof. Dr. Hong Ren
Prof. Dr. Miaowen Wen
Guest Editors

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Keywords

  • Reconfigurable intelligent surface (RIS)
  • Intelligent reflecting surface (IRS)
  • Large intelligent surface (LIS)
  • Smart Radio
  • 6G and beyond communications

Published Papers (2 papers)

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14 pages, 2673 KiB  
Article
Performance Evaluation of Reconfigurable Intelligent Surface against Distributed Antenna System at the Cell Edge
by Nuraqila Alini Kamaruddin, Azwan Mahmud, Mohamad Yusoff Bin Alias, Azlan Abd Aziz and Syamsuri Yaakob
Electronics 2022, 11(15), 2376; https://doi.org/10.3390/electronics11152376 - 29 Jul 2022
Cited by 3 | Viewed by 1353
Abstract
In small spaces in which typical cell towers cannot be constructed, distributed antenna systems (DASs) are the preferable approach for increasing network coverage, as they are a superior solution for congested, high-volume areas. However, due to their high cost and complexity in backhaul [...] Read more.
In small spaces in which typical cell towers cannot be constructed, distributed antenna systems (DASs) are the preferable approach for increasing network coverage, as they are a superior solution for congested, high-volume areas. However, due to their high cost and complexity in backhaul routing, reconfigurable intelligent surfaces (RISs) are a promising solution to overcome the major drawbacks of DAS systems while improving network coverage. Thus, this work investigated a correlation of execution in an RIS-aided system cell framework and DAS-aided system cell framework where a simple and precise structure for the performance measurement of area spectral efficiency (ASE) and energy efficiency (EE) under realistic channel presumptions was introduced. The analysis started with the downlink ergodic capacity with regards to the RIS framework and DAS framework under a generalized Nakagami-m fading channel with the presence of path-loss attenuation and interference from co-channel base stations (BSs), and was simplified further by utilizing a moment-generating function (MGF)-based approach. From the computed expression, the effects of traffic activity, EE and ASE were derived and analyzed for both systems in the presence of co-channel interference. The results were then verified by comparing them with Monte Carlo simulations, and the findings show that the two outcomes generally match. Based on these, it is demonstrated that the ASE performance of the RIS-assisted system in various traffic activity conditions outperforms the DAS-aided system; however, in high signal-to-noise (SNR) regions with full traffic activity, the ASEs are highest for both systems; by only 0.005 bits/s/Hz/km2. Full article
(This article belongs to the Special Issue Reconfigurable Intelligent Surface (RIS) for Wireless Communications)
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27 pages, 5325 KiB  
Article
Intelligent Reflective Surfaces for Wireless Networks: An Overview of Applications, Approached Issues, and Open Problems
by Darian Pérez-Adán, Óscar Fresnedo, José P. González-Coma and Luis Castedo
Electronics 2021, 10(19), 2345; https://doi.org/10.3390/electronics10192345 - 25 Sep 2021
Cited by 27 | Viewed by 9081
Abstract
An intelligent reflective surface (IRS) is a novel and revolutionizing communication technology destined to enable the control of the radio environment. An IRS is a real-time controllable reflectarray with a massive number of low-cost passive elements which introduce a phase shift to the [...] Read more.
An intelligent reflective surface (IRS) is a novel and revolutionizing communication technology destined to enable the control of the radio environment. An IRS is a real-time controllable reflectarray with a massive number of low-cost passive elements which introduce a phase shift to the incoming signals from the sources before the propagation towards the destination. This technology introduces the notion of a smart propagation environment with the aim of improving the system performance. In this paper, we provide a comprehensive literature overview on IRS technology, including its basic concepts and reconfiguration, as well as its design aspects and applications for wireless communication systems. We also study the performance metrics and the setups considered in recent publications related to IRS and provide suggestions of future research lines based on still unexplored use cases in the state-of-the-art. Full article
(This article belongs to the Special Issue Reconfigurable Intelligent Surface (RIS) for Wireless Communications)
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