Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks

In this paper, we propose a novel algorithm for improving spectrum sensing in cognitive radio networks by forming coalitions among cognitive radio users in a fading channel environment. We use concepts from matching theory, specifically the stable marriage problem, to formulate the interactions am...

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Main Authors:	Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul
Format:	Article
Language:	English English English
Published:	Elsevier 2017
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/57209/ http://irep.iium.edu.my/57209/ http://irep.iium.edu.my/57209/ http://irep.iium.edu.my/57209/1/57209_Novel%20distributed%20algorithm_article.pdf http://irep.iium.edu.my/57209/2/57209_Novel%20distributed%20algorithm_WOS.pdf http://irep.iium.edu.my/57209/3/57209_Novel%20distributed%20algorithm_scopus.pdf

id	iium-57209
recordtype	eprints
spelling	iium-572092017-10-05T05:44:20Z http://irep.iium.edu.my/57209/ Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks Tahir, Mohammad Habaebi, Mohamed Hadi Islam, Md. Rafiqul TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices In this paper, we propose a novel algorithm for improving spectrum sensing in cognitive radio networks by forming coalitions among cognitive radio users in a fading channel environment. We use concepts from matching theory, specifically the stable marriage problem, to formulate the interactions among the cogni- tive radio users as a matching game for collaborative distributed spectrum sensing under target detection probability constraint. The utility function is defined as the average probability of false alarm per cognitive radio user. The advantage of stable marriage is that it always converges to a stable matching and is Pareto optimal when the preferences of cognitive radios are strict. In the proposed model, we extend the stable matching problem to propose a novel algorithm to form coalitions of varying sizes for improving the utility of cognitive radios (false alarm and throughput). The coalitions formed using the algorithm are stable and do not deviate from the final matching. We show using simulations that the proposed algorithm leads to stable coalitions and returns significant improvement in term of reduced probability of false alarm and improved throughput per cognitive radio user as compared to the non-cooperative scenario. Elsevier 2017-07-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/57209/1/57209_Novel%20distributed%20algorithm_article.pdf application/pdf en http://irep.iium.edu.my/57209/2/57209_Novel%20distributed%20algorithm_WOS.pdf application/pdf en http://irep.iium.edu.my/57209/3/57209_Novel%20distributed%20algorithm_scopus.pdf Tahir, Mohammad and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2017) Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks. International Journal of Electronics and Communications ( AEU), 77 (7). pp. 139-148. ISSN 1434-8411 E-ISSN 1618-0399 https://www.journals.elsevier.com/aeu-international-journal-of-electronics-and-communications/ 10.1016/j.aeue.2017.04.033
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Tahir, Mohammad Habaebi, Mohamed Hadi Islam, Md. Rafiqul Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
description	In this paper, we propose a novel algorithm for improving spectrum sensing in cognitive radio networks by forming coalitions among cognitive radio users in a fading channel environment. We use concepts from matching theory, specifically the stable marriage problem, to formulate the interactions among the cogni- tive radio users as a matching game for collaborative distributed spectrum sensing under target detection probability constraint. The utility function is defined as the average probability of false alarm per cognitive radio user. The advantage of stable marriage is that it always converges to a stable matching and is Pareto optimal when the preferences of cognitive radios are strict. In the proposed model, we extend the stable matching problem to propose a novel algorithm to form coalitions of varying sizes for improving the utility of cognitive radios (false alarm and throughput). The coalitions formed using the algorithm are stable and do not deviate from the final matching. We show using simulations that the proposed algorithm leads to stable coalitions and returns significant improvement in term of reduced probability of false alarm and improved throughput per cognitive radio user as compared to the non-cooperative scenario.
format	Article
author	Tahir, Mohammad Habaebi, Mohamed Hadi Islam, Md. Rafiqul
author_facet	Tahir, Mohammad Habaebi, Mohamed Hadi Islam, Md. Rafiqul
author_sort	Tahir, Mohammad
title	Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
title_short	Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
title_full	Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
title_fullStr	Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
title_full_unstemmed	Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
title_sort	novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
publisher	Elsevier
publishDate	2017
url	http://irep.iium.edu.my/57209/ http://irep.iium.edu.my/57209/ http://irep.iium.edu.my/57209/ http://irep.iium.edu.my/57209/1/57209_Novel%20distributed%20algorithm_article.pdf http://irep.iium.edu.my/57209/2/57209_Novel%20distributed%20algorithm_WOS.pdf http://irep.iium.edu.my/57209/3/57209_Novel%20distributed%20algorithm_scopus.pdf
first_indexed	2023-09-18T21:20:49Z
last_indexed	2023-09-18T21:20:49Z
_version_	1777411869528555520

Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks

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