Reconfigurable Intelligent Surfaces: Potentials, Applications, and Challenges for 6G Wireless NetworksShow others and affiliations
2021 (English)In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687Article in journal (Refereed) Published
Abstract [en]
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. IEEE
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
6G mobile communication, Costs, Energy efficiency, Hardware, Interference cancellation, NOMA, Receivers, Channel state information, Cost effectiveness, Interlocking signals, Signal receivers, Wireless networks, Communication technologies, Cost-effective technology, Future research directions, Imperfect channel state information, Impinging signals, Numerical results, Propagation channels, Reflecting elements, Channel estimation
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:miun:diva-43693DOI: 10.1109/MWC.011.2100016ISI: 000732747200001Scopus ID: 2-s2.0-85114714980OAI: oai:DiVA.org:miun-43693DiVA, id: diva2:1611299
2021-11-152021-11-152022-01-10Bibliographically approved