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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/38900/1/momoh2.pdf
http://irep.iium.edu.my/38900/
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6889586
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spelling my.iium.irep.38900 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/38900/1/momoh2.pdf
http://irep.iium.edu.my/38900/
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6889586
_version_ 1643616731100348416
score 13.211869

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