Going beyond a Simple RIS: Trends and Techniques Paving the Path of Future RIS

Kinza Shafique, Mohammad Alhassoun*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To have uninterrupted wireless connectivity, higher throughput, and latency rate down to nanoseconds; future networks will rely heavily on higher frequency bands, yet these signals suffer from attenuation and can be easily blocked by objects. Hence, those signals lose strength over longer distances significantly compared to their low-frequency counterparts. To overcome these constraints, reconfigurable intelligent surfaces (RIS) can increase the wireless network capacity and coverage by consciously altering the wireless propagation environment, which makes them one of the key enablers of the 6G communication networks. The potential benefits of RIS-assisted communication systems can be effectively increased using machine learning (ML) to pave the path towards Wireless 2.0, having a vision of digitization, programmability, and intelligence. This paper reviews recent developments in RIS technology with a special emphasis on tuning techniques, hardware concepts, RIS empowered by artificial intelligence techniques, and applications for next generation of networks. Finally, a viewpoint on the difficulties and potential directions of intelligent metasurfaces are also presented.

Original languageEnglish
Pages (from-to)256-276
Number of pages21
JournalIEEE Open Journal of Antennas and Propagation
Volume5
Issue number2
DOIs
StatePublished - 1 Apr 2024

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Artificial intelligence
  • deep learning
  • machine learning
  • metamaterials
  • reconfigurable intelligent surfaces
  • reflective surfaces

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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