Effect of spectrum occupancy on the performance of a real valued neural network based energy detector

In this paper, a newly proposed Real Valued Neural Network (RVNN) based Energy Detector (ED) is presented for Cognitive Radio (CR) application. With little available on the performance of EDs in varying spectrum occupancy conditions, we provide a study to understand how occupancy variation affec...

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Main Authors:	Onumanyi, Adeirza J., Onwuka, Elizabeth Nonyelu, Aibinu, Abiodun Musa, Ugweje, Okechukwu, Salami, Momoh Jimoh Eyiomika
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2014
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/38900/ http://irep.iium.edu.my/38900/ http://irep.iium.edu.my/38900/ http://irep.iium.edu.my/38900/1/momoh2.pdf

id	iium-38900
recordtype	eprints
spelling	iium-389002018-06-19T06:27:05Z http://irep.iium.edu.my/38900/ Effect of spectrum occupancy on the performance of a real valued neural network based energy detector Onumanyi, Adeirza J. Onwuka, Elizabeth Nonyelu Aibinu, Abiodun Musa Ugweje, Okechukwu Salami, Momoh Jimoh Eyiomika Q Science (General) In this paper, a newly proposed Real Valued Neural Network (RVNN) based Energy Detector (ED) is presented for Cognitive Radio (CR) application. With little available on the performance of EDs in varying spectrum occupancy conditions, we provide a study to understand how occupancy variation affects the performance of a newly proposed RVNN based ED and other ED schemes. Other factors such as varying Signal to Noise Ratio (SNR) and model order values were also examined in this study and result analysis conducted using the Precision-detection statistics. Implication of results obtained indicate that the RVNN based ED would perform optimum in high occupancy and SNR conditions for a model order choice of P = 20 . We also observed that the RVNN based ED would provide better precision performance characteristics over the Periodogram, Welch and Multitaper based ED schemes compared herein. Hence, the RVNN based ED suffices as a favourable choice for CR application even under varying occupancy conditions. IEEE 2014-07-06 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38900/1/momoh2.pdf Onumanyi, Adeirza J. and Onwuka, Elizabeth Nonyelu and Aibinu, Abiodun Musa and Ugweje, Okechukwu and Salami, Momoh Jimoh Eyiomika (2014) Effect of spectrum occupancy on the performance of a real valued neural network based energy detector. In: 2014 International Joint Conference on Neural Networks (IJCNN), 06 Jul - 11 Jul 2014, Beijing International Convention Center. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6889586 978-1-4799-1484-5/14/$31.00 ©2014 IEEE
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Onumanyi, Adeirza J. Onwuka, Elizabeth Nonyelu Aibinu, Abiodun Musa Ugweje, Okechukwu Salami, Momoh Jimoh Eyiomika Effect of spectrum occupancy on the performance of a real valued neural network based energy detector
description	In this paper, a newly proposed Real Valued Neural Network (RVNN) based Energy Detector (ED) is presented for Cognitive Radio (CR) application. With little available on the performance of EDs in varying spectrum occupancy conditions, we provide a study to understand how occupancy variation affects the performance of a newly proposed RVNN based ED and other ED schemes. Other factors such as varying Signal to Noise Ratio (SNR) and model order values were also examined in this study and result analysis conducted using the Precision-detection statistics. Implication of results obtained indicate that the RVNN based ED would perform optimum in high occupancy and SNR conditions for a model order choice of P = 20 . We also observed that the RVNN based ED would provide better precision performance characteristics over the Periodogram, Welch and Multitaper based ED schemes compared herein. Hence, the RVNN based ED suffices as a favourable choice for CR application even under varying occupancy conditions.
format	Conference or Workshop Item
author	Onumanyi, Adeirza J. Onwuka, Elizabeth Nonyelu Aibinu, Abiodun Musa Ugweje, Okechukwu Salami, Momoh Jimoh Eyiomika
author_facet	Onumanyi, Adeirza J. Onwuka, Elizabeth Nonyelu Aibinu, Abiodun Musa Ugweje, Okechukwu Salami, Momoh Jimoh Eyiomika
author_sort	Onumanyi, Adeirza J.
title	Effect of spectrum occupancy on the performance of a real valued neural network based energy detector
title_short	Effect of spectrum occupancy on the performance of a real valued neural network based energy detector
title_full	Effect of spectrum occupancy on the performance of a real valued neural network based energy detector
title_fullStr	Effect of spectrum occupancy on the performance of a real valued neural network based energy detector
title_full_unstemmed	Effect of spectrum occupancy on the performance of a real valued neural network based energy detector
title_sort	effect of spectrum occupancy on the performance of a real valued neural network based energy detector
publisher	IEEE
publishDate	2014
url	http://irep.iium.edu.my/38900/ http://irep.iium.edu.my/38900/ http://irep.iium.edu.my/38900/ http://irep.iium.edu.my/38900/1/momoh2.pdf
first_indexed	2023-09-18T20:55:53Z
last_indexed	2023-09-18T20:55:53Z
_version_	1777410301066477568

Effect of spectrum occupancy on the performance of a real valued neural network based energy detector

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