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Near-Optimal Detection Thresholds for Bayesian Spectrum Sensing Under Fading

Gurugopinath, Sanjeev (2014) Near-Optimal Detection Thresholds for Bayesian Spectrum Sensing Under Fading. In: International Conference on Signal Processing and Communications (SPCOM), JUL 22-25, 2014, Banaglore, INDIA.

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This paper considers the problem of energy-based, Bayesian spectrum sensing in cognitive radios under various fading environments. Under the well-known central limit theorem based model for energy detection, we derive analytically tractable expressions for near-optimal detection thresholds that minimize the probability of error under lognormal, Nakagami-m, and Weibull fading. For the Suzuki fading case, a generalized gamma approximation is provided, which saves on the computation of an integral. In each case, the accuracy of the theoretical expressions as compared to the optimal thresholds are illustrated through simulations.

Item Type: Conference Proceedings
Publisher: IEEE
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 30 Dec 2015 06:07
Last Modified: 30 Dec 2015 06:07
URI: http://eprints.iisc.ac.in/id/eprint/52975

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