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Channel Estimation in RIS-Aided Networks

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Enabling 6G Mobile Networks

Abstract

Reconfigurable intelligent surface (RIS) is a recently emerging transmission technology for application to wireless communications. Regarded to be an emerging solution for the next generation of communications, RIS is a nearly passive device that realizes smart radio environment with low hardware cost and energy consumption. This merit of RIS, on the other hand, imposes a major challenge to the channel estimation of RIS-aided communication systems. Recently, many protocols and algorithms are proposed to handle this challenging problem. In this chapter, we review the problem of channel estimation in RIS-aided systems and survey recent developments on this topic.

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Acknowledgments

The work of F. Danufane and J. Liu was supported in part by the European Commission through the H2020 5GstepFWD project under grant agreement number 722429.

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Authors and Affiliations

  1. Université Paris-Saclay, CentraleSupelec, CNRS, Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France

    Fadil Danufane & Jiang Liu

  2. EURECOM, Sophia-Antipolis, France

    Placido Mursia

Authors
  1. Fadil Danufane
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  2. Placido Mursia
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  3. Jiang Liu
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Corresponding author

Correspondence to Jiang Liu .

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Editors and Affiliations

  1. Instituto de Telecommunicações, Campus Universitário Santiago, Aveiro, Portugal

    Jonathan Rodriguez

  2. Centre Tecnològic de Telecomunicacions de Catalunyal, Parc Mediterrani de la Tecnologia (PMT), Castelldefels, Spain

    Christos Verikoukis

  3. Iquadrat Informática SL, Barcelona, Spain

    John S. Vardakas

  4. University of Athens, Panepistimiopolis, Athens, Greece

    Nikos Passas

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Danufane, F., Mursia, P., Liu, J. (2022). Channel Estimation in RIS-Aided Networks. In: Rodriguez, J., Verikoukis, C., Vardakas, J.S., Passas, N. (eds) Enabling 6G Mobile Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-74648-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-74648-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-74647-6

  • Online ISBN: 978-3-030-74648-3

  • eBook Packages: EngineeringEngineering (R0)

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