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Three-Event Energy Detection with Adaptive Threshold for Spectrum Sensing in Cognitive Radio Systems

1
Telecommunications Department, Polytechnic University of Bucharest, 061071 Bucharest, Romania
2
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(13), 3614; https://doi.org/10.3390/s20133614
Received: 12 May 2020 / Revised: 10 June 2020 / Accepted: 24 June 2020 / Published: 27 June 2020
(This article belongs to the Section Communications)
Implementation of dynamic spectrum access (DSA) in cognitive radio (CR) systems requires the unlicensed secondary users (SU) to implement spectrum sensing to monitor the activity of the licensed primary users (PU). Energy detection (ED) is one of the most widely used methods for spectrum sensing in CR systems, and in this paper we present a novel ED algorithm with an adaptive sensing threshold. The three-event ED (3EED) algorithm for spectrum sensing is considered for which an accurate approximation of the optimal decision threshold that minimizes the decision error probability (DEP) is found using Newton’s method with forced convergence in one iteration. The proposed algorithm is analyzed and illustrated with numerical results obtained from simulations that closely match the theoretical results and show that it outperforms the conventional ED (CED) algorithm for spectrum sensing. View Full-Text
Keywords: energy detection; spectrum sensing; cognitive radio; dynamic spectrum access; adaptive decision threshold energy detection; spectrum sensing; cognitive radio; dynamic spectrum access; adaptive decision threshold
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Martian, A.; Al Sammarraie, M.J.A.; Vlădeanu, C.; Popescu, D.C. Three-Event Energy Detection with Adaptive Threshold for Spectrum Sensing in Cognitive Radio Systems. Sensors 2020, 20, 3614.

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