Modulation-Agnostic Spectrum Sensing based on Anomaly detection for Cognitive Radio
This work proposes a Spectrum Sensing (SS) scheme based on a Convolutional Autoencoder (CAE) for application in Cognitive Radio Networks. The channel occupancy is modeled as an anomaly detection problem. The CAE is trained only with noise-signal samples so that any random modulated signal observed i...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-06-01
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Series: | ICT Express |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959522000480 |
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author | Cesar Pablos Ángel G. Andrade Guillermo Galaviz |
author_facet | Cesar Pablos Ángel G. Andrade Guillermo Galaviz |
author_sort | Cesar Pablos |
collection | DOAJ |
description | This work proposes a Spectrum Sensing (SS) scheme based on a Convolutional Autoencoder (CAE) for application in Cognitive Radio Networks. The channel occupancy is modeled as an anomaly detection problem. The CAE is trained only with noise-signal samples so that any random modulated signal observed in the wireless channel will be regarded as an outlier. The relationship between the detection threshold and the system performance is evaluated. Experiments demonstrate that the SS proposal can identify primary signal presence with better accuracy (high detection and low false alarm rate) than conventional Energy Detection. |
first_indexed | 2024-03-13T03:28:24Z |
format | Article |
id | doaj.art-7485d69428484c3aa5d819868c51d243 |
institution | Directory Open Access Journal |
issn | 2405-9595 |
language | English |
last_indexed | 2024-03-13T03:28:24Z |
publishDate | 2023-06-01 |
publisher | Elsevier |
record_format | Article |
series | ICT Express |
spelling | doaj.art-7485d69428484c3aa5d819868c51d2432023-06-25T04:43:17ZengElsevierICT Express2405-95952023-06-0193398402Modulation-Agnostic Spectrum Sensing based on Anomaly detection for Cognitive RadioCesar Pablos0Ángel G. Andrade1Guillermo Galaviz2Facultad de Ingeniería, Universidad Autónoma de Baja California, Blvd. Benito Juarez s/n, Mexicali, Baja California, 21280, MéxicoCorresponding author.; Facultad de Ingeniería, Universidad Autónoma de Baja California, Blvd. Benito Juarez s/n, Mexicali, Baja California, 21280, MéxicoFacultad de Ingeniería, Universidad Autónoma de Baja California, Blvd. Benito Juarez s/n, Mexicali, Baja California, 21280, MéxicoThis work proposes a Spectrum Sensing (SS) scheme based on a Convolutional Autoencoder (CAE) for application in Cognitive Radio Networks. The channel occupancy is modeled as an anomaly detection problem. The CAE is trained only with noise-signal samples so that any random modulated signal observed in the wireless channel will be regarded as an outlier. The relationship between the detection threshold and the system performance is evaluated. Experiments demonstrate that the SS proposal can identify primary signal presence with better accuracy (high detection and low false alarm rate) than conventional Energy Detection.http://www.sciencedirect.com/science/article/pii/S2405959522000480Anomaly detectionCognitive radioConvolutional autoencoderSpectrum sensing |
spellingShingle | Cesar Pablos Ángel G. Andrade Guillermo Galaviz Modulation-Agnostic Spectrum Sensing based on Anomaly detection for Cognitive Radio ICT Express Anomaly detection Cognitive radio Convolutional autoencoder Spectrum sensing |
title | Modulation-Agnostic Spectrum Sensing based on Anomaly detection for Cognitive Radio |
title_full | Modulation-Agnostic Spectrum Sensing based on Anomaly detection for Cognitive Radio |
title_fullStr | Modulation-Agnostic Spectrum Sensing based on Anomaly detection for Cognitive Radio |
title_full_unstemmed | Modulation-Agnostic Spectrum Sensing based on Anomaly detection for Cognitive Radio |
title_short | Modulation-Agnostic Spectrum Sensing based on Anomaly detection for Cognitive Radio |
title_sort | modulation agnostic spectrum sensing based on anomaly detection for cognitive radio |
topic | Anomaly detection Cognitive radio Convolutional autoencoder Spectrum sensing |
url | http://www.sciencedirect.com/science/article/pii/S2405959522000480 |
work_keys_str_mv | AT cesarpablos modulationagnosticspectrumsensingbasedonanomalydetectionforcognitiveradio AT angelgandrade modulationagnosticspectrumsensingbasedonanomalydetectionforcognitiveradio AT guillermogalaviz modulationagnosticspectrumsensingbasedonanomalydetectionforcognitiveradio |