Title: Performance of cognitive radio networks using reconfigurable intelligent surfaces with RF energy harvesting for Nakagami channels

Authors: Raed Alhamad

Addresses: Information Technology Department, Saudi Electronic University, Kingdom of Saudi Arabia

Abstract: In this paper, we derive the performance of cognitive radio networks (CRNs) with energy harvesting using reconfigurable intelligent surfaces (RISs) for Nakagami fading channel with m-fading figure M. We derive the detection probability when the primary source (PS) harvests energy using radio frequency (RF) signals. A RIS is located between PS and secondary source (SS) where spectrum sensing is performed. We also derive the primary and secondary throughput and optimise harvesting duration to maximise the throughput. We observed significant performance enhancement in detection probability and throughput with respect to CRN without RIS.

Keywords: cognitive radio network; CRN; reconfigurable intelligent surface; RIS; energy harvesting; throughput analysis; detection probability.

DOI: 10.1504/IJSNET.2022.126338

International Journal of Sensor Networks, 2022 Vol.40 No.2, pp.77 - 84

Received: 18 Jun 2021
Accepted: 20 Jan 2022
Published online: 21 Oct 2022 *

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