IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13188-d942010.html
   My bibliography  Save this article

Outage Probability Analysis and Transmit Power Optimization for Blind-Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access Uplink

Author

Listed:
  • Vinoth Babu Kumaravelu

    (Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Agbotiname Lucky Imoize

    (Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Akoka, Lagos 100213, Nigeria
    Department of Electrical Engineering and Information Technology, Institute of Digital Communication, Ruhr University, 44801 Bochum, Germany)

  • Francisco R. Castillo Soria

    (Telecommunications Department, Faculty of Science, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí 78300, Mexico)

  • Periyakarupan Gurusamy Sivabalan Velmurugan

    (Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai 625015, India)

  • Sundarrajan Jayaraman Thiruvengadam

    (Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai 625015, India)

  • Arthi Murugadass

    (Department of Computer Science and Engineering (AI & ML), Sreenivasa Institute of Technology and Management Studies, Chittoor 517127, India)

  • Vishnu Vardhan Gudla

    (Department of Electronics and Communication Engineering, Aditya Engineering College, Surampalem 533437, India)

Abstract

Fifth-generation (5G) advancements improve transmitter and receiver functionalities, but the propagation environment remains uncontrolled. By changing the phase of impinging waves, reconfigurable intelligent surfaces (RIS) have the potential to regulate radio propagation environments. RIS-assisted non-orthogonal multiple access (NOMA) improves spectrum efficiency while enabling massive connectivity. The uplink outage probability expressions for blind-RIS-NOMA are derived in this work using RIS as a smart reflector (SR) and RIS as an access point (AP). Extensive Monte-Carlo simulations are performed to validate the derived closed-form expressions. The optimal powers to be allocated to the users are also derived in order to maximize the uplink sum capacity. In comparison to the sub-optimal power allocation, the optimal power allocation enhances the sum capacity. In terms of sum capacity for 20 dB signal-to-noise ratio (SNR) and 32 reflecting elements, it is demonstrated that the blind-RIS-NOMA surpasses the conventional NOMA by ≈ 38%. The sum capacity and outage performances are enhanced by the addition of RIS elements.

Suggested Citation

  • Vinoth Babu Kumaravelu & Agbotiname Lucky Imoize & Francisco R. Castillo Soria & Periyakarupan Gurusamy Sivabalan Velmurugan & Sundarrajan Jayaraman Thiruvengadam & Arthi Murugadass & Vishnu Vardhan G, 2022. "Outage Probability Analysis and Transmit Power Optimization for Blind-Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access Uplink," Sustainability, MDPI, vol. 14(20), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13188-:d:942010
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13188/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13188/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13188-:d:942010. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.