TY - JOUR
T1 - Reconfigurable Intelligent Surfaces
T2 - Potentials, Applications, and Challenges for 6G Wireless Networks
AU - Basharat, Sarah
AU - Hassan, Syed Ali
AU - Pervaiz, Haris
AU - Mahmood, Aamir
AU - Ding, Zhiguo
AU - Gidlund, Mikael
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Reconfigurable intelligent surfaces (RISs), with the potential to realize smart radio environments, have emerged as an energy-efficient and a cost-effective technology to support the services and demands foreseen for coming decades. By leveraging a large number of low-cost passive reflecting elements, RISs introduce a phase-shift in the impinging signal to create a favorable propagation channel between the transmitter and the receiver. In this article, we provide a tutorial overview of RISs for sixth-generation (6G) wireless networks. Specifically, we present a comprehensive discussion on performance gains that can be achieved by integrating RISs with emerging communication technologies. We address the practical implementation of RIS-assisted networks and expose the crucial challenges, including the RIS reconfiguration, deployment and size optimization, and channel estimation. Furthermore, we explore the integration of RIS and non-orthogonal multiple access (NOMA) under imperfect channel state information (CSI). Our numerical results illustrate the importance of better channel estimation in RIS-assisted networks and indicate the various factors that impact the size of RIS. Finally, we present promising future research directions for realizing RIS-assisted networks in 6G communication.
AB - Reconfigurable intelligent surfaces (RISs), with the potential to realize smart radio environments, have emerged as an energy-efficient and a cost-effective technology to support the services and demands foreseen for coming decades. By leveraging a large number of low-cost passive reflecting elements, RISs introduce a phase-shift in the impinging signal to create a favorable propagation channel between the transmitter and the receiver. In this article, we provide a tutorial overview of RISs for sixth-generation (6G) wireless networks. Specifically, we present a comprehensive discussion on performance gains that can be achieved by integrating RISs with emerging communication technologies. We address the practical implementation of RIS-assisted networks and expose the crucial challenges, including the RIS reconfiguration, deployment and size optimization, and channel estimation. Furthermore, we explore the integration of RIS and non-orthogonal multiple access (NOMA) under imperfect channel state information (CSI). Our numerical results illustrate the importance of better channel estimation in RIS-assisted networks and indicate the various factors that impact the size of RIS. Finally, we present promising future research directions for realizing RIS-assisted networks in 6G communication.
UR - http://www.scopus.com/inward/record.url?scp=85114714980&partnerID=8YFLogxK
U2 - 10.1109/MWC.011.2100016
DO - 10.1109/MWC.011.2100016
M3 - Article
AN - SCOPUS:85114714980
SN - 1536-1284
VL - 28
SP - 184
EP - 191
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 6
ER -