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Noma using reconfigurable intelligent surfaces (RIS) with power adaptation and solar energy

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Abstract

This article derives the performance of non-orthogonal multiple access (NOMA) for cognitive networks (CNs) when the secondary source recovers power from the sun and uses power adaptation to control the interference at primary users. The secondary source signal is reflected by \(N_i\) of reflectors dedicated to i-th user. RIS with 8, 16, 32, 64, 128 elements enhances the throughput by 21.5, 27.5, 33.5, 39.5, 45.5 dB. We obtained up to 6 dB gain when the number of RIS reflectors is doubled.

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Funding

A fund from SEU has been received.

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Authors and Affiliations

  1. Department of Computer Science, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia

    Raed Alhamad

  2. COSIM Lab, Carthage, Tunisia

    Hatem Boujemâa

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  1. Raed Alhamad
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  2. Hatem Boujemâa
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This is the contribution of Raed A. and Hatem B.

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Correspondence to Raed Alhamad.

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Alhamad, R., Boujemâa, H. Noma using reconfigurable intelligent surfaces (RIS) with power adaptation and solar energy. SIViP (2024). https://doi.org/10.1007/s11760-024-03211-3

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  • DOI: https://doi.org/10.1007/s11760-024-03211-3

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