Three-Event Energy Detection with Adaptive Threshold for Spectrum Sensing in Cognitive Radio Systems
Document Type
Article
Publication Date
7-2020
DOI
10.3390/s20133614
Publication Title
Sensors
Volume
20
Issue
13
Pages
1-16
Abstract
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.
Original Publication Citation
Martian, A., Al Sammarraie, M. J. A., Vlădeanu, C., & Popescu, D. C. (2020). Three-event energy detection with adaptive threshold for spectrum sensing in cognitive radio systems. Sensors, 20(13), Article 3614. https://doi.org/10.3390/s20133614
Repository Citation
Martian, Alexandru; Al Sammarraie, Mahmood Jalal Ahmad; Vladeanu, Calin; and Popescu, Dimitrie, "Three-Event Energy Detection with Adaptive Threshold for Spectrum Sensing in Cognitive Radio Systems" (2020). Electrical & Computer Engineering Faculty Publications. 258.
https://digitalcommons.odu.edu/ece_fac_pubs/258
Comments
c 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.