Reconfigurable intelligent surfaces (RIS) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionized techniques for enhancing the spectrum and/or energy efficiency of wireless systems. They are capable of reconfiguring the wireless propagation environment by carefully tuning the phase shifts of a large number of low-cost passive reflecting elements. In a typical scenario envisioned for their operation, the optimal reflection coefficients of the RIS are calculated at the BS, and then sent to the RIS’s controller through a dedicated feedback link. The design of the reflection coefficients depends on the channel state information (CSI), which is only updated when the CSI changes, on a much longer time scale than the data symbol duration. Hence, low-rate information exchange is sufficient for the dedicated control link, which can be implemented using low-cost copper lines or simple cost-efficient wireless transceivers.
However, the implementation of RISs in various applications also poses several challenges. This special issue will focus on theoretical and practical design issues for RIS communication, including information-theoretic analysis, robust transceiver design, high frequency (mmWave or terahertz) communication, channel estimation, mobility management, etc. The aim here is to bring together researchers, scientists, engineers, and individuals working on the related areas to share their new ideas, latest findings, and state-of-the-art results.
TOPICS (includes but not limited to):
RIS-aided Multicell Networks
RIS-aided SWIPT Networks
RIS-aided mobile edge computing Networks
RIS-aided Multicast Networks
RIS-aided physical layer security Networks
RIS-aided cognitive radio Networks
RIS-assisted UAV Networks
RIS-assisted MIMO Systems
RIS-assisted OFDM Designs
RIS-assisted IoT Designs
RIS-assisted joint communication and remote sensing Systems
Robust transmission design Based on Imperfect CSI
Robust Design/Performance Analysis for Mitigating Hardware Impairment
Wireless sensor network security and privacy
Application of RIS in Terahertz communications
Channel Modeling
Channel Estimation
Mobility Management
The submitted papers should be original, not published or currently under review for publications in any other journal. Submitted Articles have no page limits and can be any of the following types: technical, tutorial, survey, overview, magazine, letter, or commentary. Also, authors are allowed to submit multiple articles to the same issue.
EDITORS:
Cunhua Pan (Lead Editor), Queen Mary University of London, UK
Marco Di Renzo, CentraleSupelec, Paris-Saclay University, France
Gabriele Gradoni, Royal Society Industry Fellow, BT, Cambridge, UK
Li You, Southeast University, China
Dinh-Thuan Do, Asia University, Taichung city, Taiwan
Pei Liu, Wuhan University of Technology
Gui Zhou, Queen Mary University of London
Hong Ren, Southeast University
Ata Khalili, Sharif University of Technology