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Nonorthogonal multiple access with adaptive transmit power and energy harvesting using intelligent reflecting surfaces for cognitive radio networks

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Abstract

In this paper, we derive the throughput of cognitive radio networks (CRN) where the secondary source \(S_S\) harvests energy and adapts its power to generate an interference at primary destination \(P_D\) less than T. \(S_S\) transmits a linear combination of symbols to K nonorthogonal multiple access (NOMA) users. Intelligent reflecting surfaces (IRS) are placed between the secondary source and NOMA users. A set \(I_i\) of reflectors of IRS is dedicated to user \(U_i\) so that all reflections are in phase at \(U_i\). We derive the throughput at each user and the total throughput when IRS are used in CRN-NOMA. We optimize the NOMA powers as well as the harvesting duration \(\alpha \). When \(N_i=8,32\) reflectors per user are employed, we obtain 24 and 41 dB gain with respect to CRN-NOMA with adaptive transmit power, energy harvesting and without IRS.

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  1. Department of Computer Science, College of Computation and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia

    Raed Alhamad

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  1. Raed Alhamad
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Alhamad, R. Nonorthogonal multiple access with adaptive transmit power and energy harvesting using intelligent reflecting surfaces for cognitive radio networks. SIViP 17, 83–89 (2023). https://doi.org/10.1007/s11760-022-02206-2

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  • DOI: https://doi.org/10.1007/s11760-022-02206-2

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