Special Issue "Intelligent Reflecting Surfaces for 5G and Beyond"

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".

Deadline for manuscript submissions: 30 June 2022.

Special Issue Editors

Prof. Dr. Sotirios K. Goudos
E-Mail Website
Guest Editor
[email protected], Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: antenna design; microwave components design; wireless communications; evolutionary algorithms; machine learning
Special Issues and Collections in MDPI journals
Prof. Dr. George K. Karagiannidis
grade E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
Interests: wireless communications; wireless power transfer and applications; optical wireless communications; communications for biomedical engineering; wireless security
Special Issues and Collections in MDPI journals
Dr. Marco Salucci
E-Mail Website
Guest Editor
CNIT - "University of Trento" Research Unit, 38123 Trento, Italy
Interests: antenna array design, processing, and characterization; synthesis of complex electromagnetic devices through system-by-design techniques; surrogate-assisted optimization; learning-by-example; deep learning
Special Issues and Collections in MDPI journals
Prof. Dr. Shaohua Wan
E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues, 

Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRS) are an emerging transmission technology for application to wireless communications. They can reconfigure the wireless propagation environment via software-control reflection. Following the recent breakthrough on the fabrication of programmable metamaterials, reconfigurable intelligent surfaces have the potential to fulfill the challenging vision for 6G networks and materialize seamless connections and intelligent software-based control of the environment in wireless communication systems. Since IRS reflection beamforming prediction requires the perfect/imperfect channel knowledge, channel estimation is a crucial aspect for predicting IRS interaction matrices. In this context, IRS is combined with machine learning (ML) techniques, which are particularly powerful in providing channel estimation. This Special Issue aims at publishing high-quality research papers as well as review articles addressing recent advances on IRS-aided wireless communications for 5G and beyond. Potential topics include but are not limited to the following:

  • IRS antenna design;
  • IRS channel modeling;
  • IRS channel capacity and performance limits;
  • IRS and ML techniques;
  • IRS channel estimation and channel feedback;
  • IRS indoor channel characterization;
  • IRS and NOMA techniques;
  • IRS prototyping and experimental results;
  • Cross-layer design for IRS-aided communications;
  • IRS and wireless power transfer communication;
  • IRS and mobile edge computing systems;
  • IRS and physical layer security techniques;
  • IRS and vehicle communications;
  • IRS transmissive and hybrid.

Prof. Dr. Sotirios K. Goudos
Prof. Dr. George Karagiannidis
Dr. Marco Salucci
Prof. Dr. Shaohua Wan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Technologies is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • intelligent reflecting surfaces
  • reconfigurable intelligent surfaces
  • 5G
  • 6G
  • machine learning

Published Papers

This special issue is now open for submission.
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