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Intelligent Reflecting Surfaces with Adaptive Transmit Power and Energy Harvesting for Cognitive Radio Networks

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Abstract

In this article, we study the performance of cognitive radio networks (CRN) with adaptive transmit power and energy harvesting. The secondary source \(S_S\) harvests power using the signal of node A. Then, it adapts its power to generate interference at primary destination \(P_D\) lower than a predefined threshold T. The broadcasted signal by \(S_S\) is reflected by intelligent reflecting surfaces IRS so that reflections have a zero phase at the secondary destination \(S_D\). The throughput at secondary destination is derived in the absence or presence of primary interference. IRS with \(N=8\), 16, 32 reflectors offers 20, 26 and 32 dB gain versus CRN. The use of IRS as a transmitter improves the throughput by 1 dB versus IRS employed as a reflector.

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  1. Information Technology Department, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia

    Raed I. Alhamad

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  1. Raed I. Alhamad
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The article is the contribution of Dr Raed Alhamad.

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Alhamad, R.I. Intelligent Reflecting Surfaces with Adaptive Transmit Power and Energy Harvesting for Cognitive Radio Networks. Wireless Pers Commun 128, 1003–1017 (2023). https://doi.org/10.1007/s11277-022-09986-3

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