Wireless distributed computing for cyclostationary feature detection

Recently, wireless distributed computing (WDC) concept has emerged promising manifolds improvements to current wireless technologies. Despite the various expected benefits of this concept, significant drawbacks were addressed in the open literature. One of WDC key challenges is the impact of wire...

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Main Authors:	Alfaqawi, Mohammed, Chebil, Jalel, Habaebi, Mohamed Hadi, Datla, Dinesh
Format:	Article
Language:	English
Published:	Elsevier 2016
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/45839/ http://irep.iium.edu.my/45839/ http://irep.iium.edu.my/45839/ http://irep.iium.edu.my/45839/1/45839_Wireless_distributed_computing_for_cyclostationary_feature_detection.pdf

id	iium-45839
recordtype	eprints
spelling	iium-458392016-10-19T01:06:28Z http://irep.iium.edu.my/45839/ Wireless distributed computing for cyclostationary feature detection Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Datla, Dinesh TK5101 Telecommunication. Including telegraphy, radio, radar, television Recently, wireless distributed computing (WDC) concept has emerged promising manifolds improvements to current wireless technologies. Despite the various expected benefits of this concept, significant drawbacks were addressed in the open literature. One of WDC key challenges is the impact of wireless channel quality on the load of distributed computations. Therefore, this research investigates the wireless channel impact on WDC performance when the latter is applied to spectrum sensing in cognitive radio (CR) technology. However, a trade-off is found between accuracy and computational complexity in spectrum sensing approaches. Increasing these approaches accuracy is accompanied by an increase in computational complexity. This results in greater power consumption and processing time. A novel WDC scheme for cyclostationary feature detection spectrum sensing approach is proposed in this paper and thoroughly investigated. The benefits of the proposed scheme are firstly presented. Then, the impact of the wireless channel of the proposed scheme is addressed considering two scenarios. In the first scenario, workload matrices are distributed over the wireless channel. Then, a fusion center combines these matrices in order to make a decision. Meanwhile, in the second scenario, local decisions are made by CRs, then, only a binary flag is sent to the fusion center. Elsevier 2016-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/45839/1/45839_Wireless_distributed_computing_for_cyclostationary_feature_detection.pdf Alfaqawi, Mohammed and Chebil, Jalel and Habaebi, Mohamed Hadi and Datla, Dinesh (2016) Wireless distributed computing for cyclostationary feature detection. Digital Communications and Networks, 2 (1). pp. 47-56. ISSN 2352-8648 http://www.sciencedirect.com/science/article/pii/S2352864815000449 10.1016/j.dcan.2015.09.003
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Datla, Dinesh Wireless distributed computing for cyclostationary feature detection
description	Recently, wireless distributed computing (WDC) concept has emerged promising manifolds improvements to current wireless technologies. Despite the various expected benefits of this concept, significant drawbacks were addressed in the open literature. One of WDC key challenges is the impact of wireless channel quality on the load of distributed computations. Therefore, this research investigates the wireless channel impact on WDC performance when the latter is applied to spectrum sensing in cognitive radio (CR) technology. However, a trade-off is found between accuracy and computational complexity in spectrum sensing approaches. Increasing these approaches accuracy is accompanied by an increase in computational complexity. This results in greater power consumption and processing time. A novel WDC scheme for cyclostationary feature detection spectrum sensing approach is proposed in this paper and thoroughly investigated. The benefits of the proposed scheme are firstly presented. Then, the impact of the wireless channel of the proposed scheme is addressed considering two scenarios. In the first scenario, workload matrices are distributed over the wireless channel. Then, a fusion center combines these matrices in order to make a decision. Meanwhile, in the second scenario, local decisions are made by CRs, then, only a binary flag is sent to the fusion center.
format	Article
author	Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Datla, Dinesh
author_facet	Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Datla, Dinesh
author_sort	Alfaqawi, Mohammed
title	Wireless distributed computing for cyclostationary feature detection
title_short	Wireless distributed computing for cyclostationary feature detection
title_full	Wireless distributed computing for cyclostationary feature detection
title_fullStr	Wireless distributed computing for cyclostationary feature detection
title_full_unstemmed	Wireless distributed computing for cyclostationary feature detection
title_sort	wireless distributed computing for cyclostationary feature detection
publisher	Elsevier
publishDate	2016
url	http://irep.iium.edu.my/45839/ http://irep.iium.edu.my/45839/ http://irep.iium.edu.my/45839/ http://irep.iium.edu.my/45839/1/45839_Wireless_distributed_computing_for_cyclostationary_feature_detection.pdf
first_indexed	2023-09-18T21:05:15Z
last_indexed	2023-09-18T21:05:15Z
_version_	1777410889518940160

Wireless distributed computing for cyclostationary feature detection

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