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Symmetry
Volume 13
Issue 1
10.3390/sym13010147
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Article

Deep Learning for Spectrum Sensing in Cognitive Radio

by
Surendra Solanki
*,
Vasudev Dehalwar
and
Jaytrilok Choudhary
Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal 462003, India
*
Author to whom correspondence should be addressed.
Symmetry 2021, 13(1), 147; https://doi.org/10.3390/sym13010147
Submission received: 19 December 2020 / Revised: 12 January 2021 / Accepted: 15 January 2021 / Published: 17 January 2021
(This article belongs to the Section A: Computer Science)
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Abstract

The detection of primary user signals is essential for optimum utilization of a spectrum by secondary users in cognitive radio (CR). The conventional spectrum sensing schemes have the problem of missed detection/false alarm, which hampers the proper utilization of spectrum. Spectrum sensing through deep learning minimizes the margin of error in the detection of the free spectrum. This research provides an insight into using a deep neural network for spectrum sensing. A deep learning based model, “DLSenseNet”, is proposed, which exploits structural information of received modulated signals for spectrum sensing. The experiments were performed using RadioML2016.10b dataset and the outcome was studied. It was found that “DLSenseNet” provides better spectrum detection than other sensing models.
Keywords: cognitive radio; deep learning; spectrum sensing; convolutional neural network; long short term memory cognitive radio; deep learning; spectrum sensing; convolutional neural network; long short term memory

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MDPI and ACS Style

Solanki, S.; Dehalwar, V.; Choudhary, J. Deep Learning for Spectrum Sensing in Cognitive Radio. Symmetry 2021, 13, 147. https://doi.org/10.3390/sym13010147

AMA Style

Solanki S, Dehalwar V, Choudhary J. Deep Learning for Spectrum Sensing in Cognitive Radio. Symmetry. 2021; 13(1):147. https://doi.org/10.3390/sym13010147

Chicago/Turabian Style

Solanki, Surendra, Vasudev Dehalwar, and Jaytrilok Choudhary. 2021. "Deep Learning for Spectrum Sensing in Cognitive Radio" Symmetry 13, no. 1: 147. https://doi.org/10.3390/sym13010147

APA Style

Solanki, S., Dehalwar, V., & Choudhary, J. (2021). Deep Learning for Spectrum Sensing in Cognitive Radio. Symmetry, 13(1), 147. https://doi.org/10.3390/sym13010147

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