Title: Analysis on spectrum sensing schemes for cognitive radio networks

Authors: T. Perarasi; G. Nagarajan

Addresses: Department of Electronics & Communication Engineering, Pondicherry Engineering College, Puducherry-605 104, India ' Department of Electronics & Communication Engineering, Pondicherry Engineering College, Puducherry-605 104, India

Abstract: Spectrum is a significant resource in RF environment, and is an essential function of cognitive radio to prevent harmful interference pertaining to the primary users. Spectrum sensing identifies the unutilised spectrum in order to improve the spectrum utilisation. Cooperative spectrum sensing is a technique which incorporates multiple secondary users. It paves a way in analysing the primary user information to achieve exact detection performance. In this paper, soften hard decision fusion mechanism is used to solve the sensing failure as it provides fine sensing and increases the detection probability with trade-off between probability of detection and complexity. Binary hypothesis testing rule is applied to verify the sensing concept. Censoring policy can be chosen in the case of good signal-to-noise ratio which provides energy-efficient sensing scheme. Results conclude that soften hard decision performs better than the other types of sensing schemes. Receiver operating characteristics are analysed.

Keywords: censoring sensing; cyclostationary detector; energy detector; log likelihood ratio test; matched filter; spectrum sensing.

DOI: 10.1504/IJIM.2017.085307

International Journal of Image Mining, 2017 Vol.2 No.3/4, pp.195 - 207

Received: 20 Jun 2016
Accepted: 19 Oct 2016
Published online: 21 Jul 2017 *

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