On the Performance of RIS-enabled NOMA for Aerial Networks

Lina Bariah, Fouzi Boukhalfa, Wael Jaafar, Sami Muhaidat, Halim Yanikomeroglu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations

    Abstract

    In this paper, we investigate the performance of reconfigurable intelligent surface (RIS)-assisted aerial communications, where a ground base station (GBS) communicates with distant terrestrial and/or aerial users through the assistance of a RIS-equipped unmanned aerial vehicle (RIS-UAV). The GBS uses the non-orthogonal multiple access (NOMA) scheme to transmit its signal, which is directed to the users via the RIS-UAV. First, the end-to-end channel is characterized, by considering the shadowed Rician fading, then the outage probability performance metric is derived for the underlying system model. Through numerical results, we demonstrate the impact of several system parameters on the performance of NOMA users. Specifically, we found that RIS elements need to be carefully allocated among different NOMA users, according to their channel conditions, in order to achieve the needed quality of service.

    Original languageBritish English
    Title of host publication2023 IEEE Wireless Communications and Networking Conference, WCNC 2023 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781665491228
    DOIs
    StatePublished - 2023
    Event2023 IEEE Wireless Communications and Networking Conference, WCNC 2023 - Glasgow, United Kingdom
    Duration: 26 Mar 202329 Mar 2023

    Publication series

    NameIEEE Wireless Communications and Networking Conference, WCNC
    Volume2023-March
    ISSN (Print)1525-3511

    Conference

    Conference2023 IEEE Wireless Communications and Networking Conference, WCNC 2023
    Country/TerritoryUnited Kingdom
    CityGlasgow
    Period26/03/2329/03/23

    Keywords

    • NOMA
    • non-orthogonal multiple access
    • Reconfigurable intelligent surfaces
    • RIS
    • UAV
    • unmanned aerial vehicle

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