Intelligent reflecting surfaces for enhanced NOMA-based visible light communications

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Abumarshoud, Hanaa and Selim, Bassant and Tatipamula, Mallik and Haas, Harald; (2022) Intelligent reflecting surfaces for enhanced NOMA-based visible light communications. In: ICC 2022 - IEEE International Conference on Communications. IEEE International Conference on Communications . IEEE, Piscataway, NJ, pp. 571-576. ISBN 9781538683477 (https://doi.org/10.1109/icc45855.2022.9838853)

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Abstract

The emerging intelligent reflecting surface (IRS) technology introduces the potential of controlled light propagation in visible light communication (VLC) systems. This concept opens the door for new applications in which the channel itself can be altered to achieve specific key performance indicators. In this paper, for the first time in the open literature, we investigate the role that IRSs can play in enhancing the link reliability in VLC systems employing non-orthogonal multiple access (NOMA). We propose a framework for the joint optimisation of the NOMA and IRS parameters and show that it provides significant enhancements in link reliability. For example, the bit-error-rate of the NOMA user in the first decoding order is reduced to the order of 10 −6 using the proposed framework compared to an error floor of 10 −2 under fixed power allocation and fixed IRS reflection coefficients. The enhancement is even more pronounced when the VLC channel is subject to blockage and random device orientation.

  • Item type:Book Section
    ID code:82236
    Dates:
    Date
    Event
    11 August 2022
    Published
    16 May 2022
    Accepted
    Notes:© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:07 Sep 2022 09:20
    Last modified:19 Dec 2024 21:11
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/82236
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