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- Title
Exploring reconfigurable intelligent surfaces for 6G: State‐of‐the‐art and the road ahead.
- Authors
Basharat, Sarah; Khan, Maryam; Iqbal, Muhammad; Hashmi, Umair Sajid; Zaidi, Syed Ali Raza; Robertson, Ian
- Abstract
Reconfigurable intelligent surfaces (RISs) are envisioned to transform the propagation space into a smart radio environment (SRE) to realize the diverse applications of sixth‐generation (6G) wireless communication. By smartly tuning the massive number of elements via controller, an RIS can passively phase‐shift the electromagnetic (EM) waves to enhance the system performance. The absence of radio‐frequency (RF) chains makes RIS an energy‐efficient and cost‐effective solution for future wireless networks. In this paper, the state‐of‐the‐art research on different aspects of RIS‐assisted communication is explored. Specifically, the fundamentals of RIS are first introduced, including the RIS's structure, operating principle, and deployment strategies. The emerging applications of RISs are then comprehensively discussed for 6G wireless networks. In addition, the crucial challenges for RIS‐assisted networks are elaborated, namely, RIS channel state information (CSI) acquisition and passive beamforming optimization. Furthermore, the recent research contributions leveraging the artificial intelligence (AI) based techniques for channel estimation, phase‐shift optimization, and resource allocation in RIS‐assisted networks are presented. Finally, to provide effective guidance for future research, important research directions for realizing RIS‐assisted network are highlighted.
- Subjects
SOFTWARE radio; CHANNEL estimation; WIRELESS communications; ARTIFICIAL intelligence; RESOURCE allocation
- Publication
IET Communications (Wiley-Blackwell), 2022, Vol 16, Issue 13, p1458
- ISSN
1751-8628
- Publication type
Article
- DOI
10.1049/cmu2.12364