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RIS-Assisted Fixed NOMA: Outage Probability Analysis and Transmit Power Optimization

Author

Listed:
  • Vinoth Babu Kumaravelu

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

  • Sundarrajan Jayaraman Thiruvengadam

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

  • Dinh-Thuan Do

    (Department of Computer Science and Information Engineering, College of Information and Electrical Engineering, Asia University, Taichung 41354, Taiwan)

  • Arthi Murugadass

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

Abstract

Reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access (NOMA) has the ability to overcome the challenges of the wireless environment like random fluctuations, shadowing, and mobility in an energy efficient way when compared to multiple input-multiple output (MIMO)-NOMA systems. The NOMA system can deliver controlled channel gains, improved coverage, increased energy efficiency, and enhanced fairness in resource allocation with the help of RIS. RIS-assisted NOMA will be one of the primary potential components of sixth-generation (6G) networks, due to its appealing advantages. The analytical outage probability expressions for smart RIS-assisted fixed NOMA (FNOMA) are derived in this paper, taking into account the instances of RIS as a smart reflector (SR) and an access point (AP). The analytical and simulation findings are found to be extremely comparable. In order to effectively maximize the sum capacity, the formulas for optimal powers to be assigned for a two-user case are also established. According to simulations, RIS-assisted FNOMA surpasses FNOMA in terms of outage and sum capacity. With the aid of RIS and the optimal power assignment, RIS-AP-FNOMA offers ≈62% improvement in sum capacity over the FNOMA system for a signal-to-noise ratio (SNR) of 10 dB and 32 elements in RIS. A significant improvement is also brought about by the increase in reflective elements.

Suggested Citation

  • Vinoth Babu Kumaravelu & Agbotiname Lucky Imoize & Francisco R. Castillo Soria & Periyakarupan Gurusamy Sivabalan Velmurugan & Sundarrajan Jayaraman Thiruvengadam & Dinh-Thuan Do & Arthi Murugadass, 2023. "RIS-Assisted Fixed NOMA: Outage Probability Analysis and Transmit Power Optimization," Future Internet, MDPI, vol. 15(8), pages 1-18, July.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:8:p:249-:d:1201711
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    Cited by:

    1. Roilhi F. Ibarra-Hernández & Francisco R. Castillo-Soria & Carlos A. Gutiérrez & Abel García-Barrientos & Luis Alberto Vásquez-Toledo & J. Alberto Del-Puerto-Flores, 2024. "Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems—A Review," Future Internet, MDPI, vol. 16(5), pages 1-29, May.

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