Generic placeholder image

International Journal of Sensors, Wireless Communications and Control


ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Research Article

Improved Detection Performance of Energy Detection Based Spectrum Sensing in Cognitive Radio Networks

Author(s): Chilakala Sudhamani*, Ashutosh Saxena and Vunnava Aswini

Volume 11, Issue 9, 2021

Published on: 18 February, 2021

Page: [957 - 962] Pages: 6

DOI: 10.2174/2210327911666210219115009

Price: $65


Background: In cognitive radio networks, spectrum sensing plays an important role in identifying the underutilized spectrum bands. Conventional spectrum sensing by the energy detection method uses a single detection threshold, which degrades the detection performance.

Methods: Therefore double detection threshold has been proposed for spectrum sensing in the literature to improve the detection performance, but the performance depends on the region between two thresholds, termed as confusion state. Hence to improve the overall detection performance new resensing scheme has been proposed in this paper by varying the difference between thresholds by an improvement factor K.

Results: The proposed method improves the detection performance compared to the single threshold method and double threshold method.

Conclusion: Simulation results show that the proposed method operates better than the single threshold energy detection method and improves the detection performance at low signal-to-noise ratios.

Keywords: Cognitive radio, energy detection, detection threshold, spectrum sensing, improvement factor, signal-tonoise report.

Graphical Abstract

Rights & Permissions Print Export Cite as
© 2022 Bentham Science Publishers | Privacy Policy