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Reconfigurable Intelligent Surfaces for 5G and beyond Wireless Communications: A Comprehensive Survey

Author

Listed:
  • Teena Sharma

    (Departement des Sciences Appliquées, Université du Québec à Chicoutimi, Chicoutimi, QC G7H 2B1, Canada)

  • Abdellah Chehri

    (Departement des Sciences Appliquées, Université du Québec à Chicoutimi, Chicoutimi, QC G7H 2B1, Canada)

  • Paul Fortier

    (Department of Electrical and Computer Engineering, Laval University, Québec, QC G1V 0A6, Canada)

Abstract

With possible new use cases and demanding requirements of future 5th generation (5G) and beyond cellular networks, the future of mobile communications sounds promising. However, the propagation medium has been considered a randomly acting agent between the transmitter and the receiver. With the advent of the digital age of wireless communications, the received signal quality is degrading due to the uncontrollable interactions of the transmitted radio waves with the surrounding artifacts. This paper presents a comprehensive literature review on reconfigurable intelligent surfaces (RISs) and assisted application areas. With the RIS, the network operators can control radio waves’ scattering, reflection, and refraction characteristics by resolving the harmful properties of environmental wireless propagation. Further, the RIS can effectively control the wavefront, such as amplitude, phase, frequency, and even polarization, without requiring complex encoding, decoding, or radio wave processing techniques. Motivated by technological advances, the metasurfaces, reflectarrays, phase shift, and liquid crystals are potential candidates for implementing RIS. Thus, they can be considered the front runner for realizing the 5G and beyond network. Furthermore, the current research activities in the evolving field of wireless networks operated by RIS are reviewed and discussed thoroughly. Finally, to fully explore the potential of RISs in wireless networks, the fundamental research issues to be addressed have been discussed.

Suggested Citation

  • Teena Sharma & Abdellah Chehri & Paul Fortier, 2021. "Reconfigurable Intelligent Surfaces for 5G and beyond Wireless Communications: A Comprehensive Survey," Energies, MDPI, vol. 14(24), pages 1-28, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8219-:d:696905
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    References listed on IDEAS

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    1. Ghassan Alnwaimi & Hatem Boujemaa, 2021. "Hybrid RF/FSO communications through Reconfigurable Intelligent Surfaces in the presence of pointing errors," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(2), pages 155-162, October.
    2. Lei Zhang & Xiao Qing Chen & Shuo Liu & Qian Zhang & Jie Zhao & Jun Yan Dai & Guo Dong Bai & Xiang Wan & Qiang Cheng & Giuseppe Castaldi & Vincenzo Galdi & Tie Jun Cui, 2018. "Space-time-coding digital metasurfaces," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
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    Cited by:

    1. Joseph Isabona & Agbotiname Lucky Imoize & Stephen Ojo & Dinh-Thuan Do & Cheng-Chi Lee, 2023. "Machine Learning-Based GPR with LBFGS Kernel Parameters Selection for Optimal Throughput Mining in 5G Wireless Networks," Sustainability, MDPI, vol. 15(2), pages 1-22, January.

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