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A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian

An efficient spectrum prediction model is presented to improve the spectrum utilization in cognitive radio network. In this model, a novel improved version of Teaching-Learning-Based-Optimization algorithm, also referred to iTLBO algorithm, is proposed to train a feed forward artificial neural netwo...

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Main Authors: Askari, Mehdi, Dastanian, Rezvan
Format: Article
Language:English
Published: Universiti Teknologi MARA 2021
Subjects:
Radio
Radio frequency identification systems
Probes (Electronic instruments)
Online Access:https://ir.uitm.edu.my/id/eprint/52056/1/52056.pdf
https://ir.uitm.edu.my/id/eprint/52056/
https://jeesr.uitm.edu.my/
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id my.uitm.ir.52056
record_format eprints
spelling my.uitm.ir.520562021-10-07T08:23:33Z https://ir.uitm.edu.my/id/eprint/52056/ A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian Askari, Mehdi Dastanian, Rezvan Radio Radio frequency identification systems Probes (Electronic instruments) An efficient spectrum prediction model is presented to improve the spectrum utilization in cognitive radio network. In this model, a novel improved version of Teaching-Learning-Based-Optimization algorithm, also referred to iTLBO algorithm, is proposed to train a feed forward artificial neural network (ANN). The performance of the proposed iTLBO-ANN model is compared with some hybrid prediction models, including the genetic algorithm with ANN (GA-ANN), the firefly algorithm with ANN (FF-ANN), and the conventional TLBO algorithm with ANN (TLBO- ANN). Performance evaluation via a real-word spectrum data set (GSM-900) confirms that iTLBO-ANN outperforms other spectrum prediction schemes in terms of prediction error and prediction efficiency. Universiti Teknologi MARA 2021-10 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/52056/1/52056.pdf ID52056 Askari, Mehdi and Dastanian, Rezvan (2021) A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian. Journal of Electrical and Electronic Systems Research (JEESR), 19: 8. pp. 17-24. ISSN 1985-5389 https://jeesr.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Radio
Radio frequency identification systems
Probes (Electronic instruments)
spellingShingle Radio
Radio frequency identification systems
Probes (Electronic instruments)
Askari, Mehdi
Dastanian, Rezvan
A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian
description An efficient spectrum prediction model is presented to improve the spectrum utilization in cognitive radio network. In this model, a novel improved version of Teaching-Learning-Based-Optimization algorithm, also referred to iTLBO algorithm, is proposed to train a feed forward artificial neural network (ANN). The performance of the proposed iTLBO-ANN model is compared with some hybrid prediction models, including the genetic algorithm with ANN (GA-ANN), the firefly algorithm with ANN (FF-ANN), and the conventional TLBO algorithm with ANN (TLBO- ANN). Performance evaluation via a real-word spectrum data set (GSM-900) confirms that iTLBO-ANN outperforms other spectrum prediction schemes in terms of prediction error and prediction efficiency.
format Article
author Askari, Mehdi
Dastanian, Rezvan
author_facet Askari, Mehdi
Dastanian, Rezvan
author_sort Askari, Mehdi
title A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian
title_short A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian
title_full A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian
title_fullStr A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian
title_full_unstemmed A novel scheme for spectrum prediction in cognitive radio networks / Mehdi Askari and Rezvan Dastanian
title_sort novel scheme for spectrum prediction in cognitive radio networks / mehdi askari and rezvan dastanian
publisher Universiti Teknologi MARA
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/52056/1/52056.pdf
https://ir.uitm.edu.my/id/eprint/52056/
https://jeesr.uitm.edu.my/
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score 13.211869

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