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: closed (31 July 2023) | Viewed by 21752
Special Issue Editors
Interests: antenna design; microwave components design; wireless communications; evolutionary algorithms; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things (IoT); edge computing; machine learning; computer vision; cyber physical systems; future Internet architecture and smart-energy
Special Issues, Collections and Topics in MDPI journals
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.
Dr. Sotirios K. Goudos
Prof. Dr. Shaohua Wan
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent reflecting surfaces
- reconfigurable intelligent surfaces
- 5G
- 6G
- machine learning
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