Exploring reconfigurable intelligent surfaces for 6G: State‐of‐the‐art and the road ahead

• Published in: IET communications Vol. 16; no. 13; pp. 1458 - 1474
• Main Authors: Basharat, Sarah, Khan, Maryam, Iqbal, Muhammad, Hashmi, Umair Sajid, Zaidi, Syed Ali Raza, Robertson, Ian
• Format: Journal Article
• Language: English
• Published: Stevenage John Wiley & Sons, Inc 01-08-2022; Wiley
• Subjects: 6G mobile communication; Artificial intelligence; Beamforming; Business metrics; Connectivity; Energy consumption; Optimization; Phase shift; Propagation; Radio; Reconfigurable intelligent surfaces; Resource allocation; Technology; Unmanned aerial vehicles; Wireless communications; Wireless networks
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/cmu2.12364

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.