Title: Spectrum sensing in cognitive radio using recurrence diagrams

Authors: Maximiliano Antonelli; Jorge Castiñeira Moreira; Luciana De Micco

Addresses: Physics, Chaotic Systems Laboratory, ICYTE (Institute of Scientific and Technological Research in Electronics), CONICET (National Council for Scientific and Technical Research), FIUNMDP (Faculty of Engineering, National University of Mar del Plata), Juan B. Justo 4302, Mar del Plata, 7600, Buenos Aires, Argentina ' Electronics, Communications Laboratory, ICYTE (Institute of Scientific and Technological Research in Electronics), CONICET (National Council for Scientific and Technical Research), FIUNMDP (Faculty of Engineering, National University of Mar del Plata), Juan B. Justo 4302, Mar del Plata, 7600, Buenos Aires, Argentina ' Electronics, Chaotic Systems Laboratory, ICYTE (Institute of Scientific and Technological Research in Electronics), CONICET (National Council for Scientific and Technical Research), FIUNMDP (Faculty of Engineering, National University of Mar del Plata), Juan B. Justo 4302, Mar del Plata, 7600, Buenos Aires, Argentina

Abstract: In this article, a new technique for the detection of primary users in cognitive radio (CR) is presented. The proposed technique is based on statistical quantifiers that take into account causal information from the received signal. Results show that a quick decision about the transmission of the data is possible by sensing a very short time. Furthermore, heavily noise-contaminated signals are detectable, even without prior information about the level of noise in the channel. We show the performance of the method and conclude that is comparable to those used classically. Finally, we present the hardware implementation and the resources employed.

Keywords: cognitive radio; spectrum sensing; recurrence diagrams; field programmable gate array; hardware implementation.

DOI: 10.1504/IJES.2021.121083

International Journal of Embedded Systems, 2021 Vol.14 No.6, pp.535 - 543

Received: 06 Dec 2020
Accepted: 12 Mar 2021
Published online: 24 Feb 2022 *

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