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On Experimental Evaluation of Eigenvalue-based Spectrum Sensing using a Real-time SDR Testbed

Hayfa Ben Thameur 1 Iyad Dayoub 1, 2 
2 COMNUM - IEMN - COMmunications NUMériques - IEMN
INSA Hauts-De-France - INSA Institut National des Sciences Appliquées Hauts-de-France, IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520
Abstract : Spectrum sensing (SS) is one of the most challenging and prominent operation in the emerging cognitive radio (CR) technology. It is viewed as one of the most intelligent method for enhancing spectrum usage efficiency. Therefore, versatile SS techniques have been proposed in literature. In this paper, we consider eigenvalue-based spectrum sensing (ESS) approaches, due to their strong competitive performances. An experimental assessment of a set of ESS algorithms is then provided. Our work is motivated by the high need to evaluate the performances of SS in near real-world scenarios, as a first step for industrial integration of this CR feature in existing and future wireless communication systems. Thus, we propose a real-time testbed that relies on the software-defined radio (SDR) platform: the national instrument (NI) 2954R universal software radio peripheral (USRP), as a physical medium for analog transmissions. The different processing modules of the developed testbed have been designed within a scalable and flexible architecture. It includes data acquisition, spectrum sensing, blind estimation of the noise power and performances reporting. Indeed, both of the ESS detection potential and sensing time have been explored. We show that, by conveniently selecting the ESS technique, the detection performances of a CR device can be improved (by 35%) while reducing sensing time (by 2) at relatively low SNR value (-12 dB).
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https://hal-uphf.archives-ouvertes.fr/hal-03382830
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Submitted on : Monday, October 18, 2021 - 12:43:30 PM
Last modification on : Tuesday, July 19, 2022 - 11:48:08 AM

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Hayfa Ben Thameur, Iyad Dayoub. On Experimental Evaluation of Eigenvalue-based Spectrum Sensing using a Real-time SDR Testbed. 2021 International Wireless Communications and Mobile Computing (IWCMC), Jun 2021, Harbin City, virtual, China. pp.1982-1987, ⟨10.1109/IWCMC51323.2021.9498884⟩. ⟨hal-03382830⟩

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