Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks

We consider the problem of increasing the throughput in cognitive radio networks by forming coalitions among cognitive radio user in additive white Gaussian noise (AWGN) channel. For coalition formation using matching theory, we analyze two algorithms, namely Gale-Shapely algorithm and one-sided sta...

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Main Authors:	Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2017
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/54042/ http://irep.iium.edu.my/54042/ http://irep.iium.edu.my/54042/ http://irep.iium.edu.my/54042/13/54042.pdf http://irep.iium.edu.my/54042/19/54042_Performance%20analysis%20of%20coalition%20formation%20algorithms_SCOPUS.pdf

id	iium-54042
recordtype	eprints
spelling	iium-540422017-06-20T02:25:34Z http://irep.iium.edu.my/54042/ Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks Tahir, Mohammad Habaebi, Mohamed Hadi Islam, Md. Rafiqul TK5101 Telecommunication. Including telegraphy, radio, radar, television We consider the problem of increasing the throughput in cognitive radio networks by forming coalitions among cognitive radio user in additive white Gaussian noise (AWGN) channel. For coalition formation using matching theory, we analyze two algorithms, namely Gale-Shapely algorithm and one-sided stable matching algorithm. For the first algorithm for coalition formation, well-known gale shapely algorithm is used to achieve cooperation among the cognitive radios for spectrum detection and sharing. Each cognitive radio prepares a preference list of other radios in the vicinity for cooperation and hence to form a coalition formation. The second algorithm is based one-sided matching theory which is a variant of the Gale-Shapely algorithm, however, to achieve a stable cooperation, certain criteria must be satisfied. The procedure is similar to the first algorithm (.i.e. formation of preference list and then making offers to other cognitive radio for cooperation) however the difference is in how the coalition formation takes place among the cognitive radios. Finally, using simulations we investigate various aspects of the algorithms and analyse their performance. The proposed algorithms result in improved spectrum detection as well as increasing the spectrum efficiency. IEEE 2017-01-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/54042/13/54042.pdf application/pdf en http://irep.iium.edu.my/54042/19/54042_Performance%20analysis%20of%20coalition%20formation%20algorithms_SCOPUS.pdf Tahir, Mohammad and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2017) Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks. In: 14th Student Conference on Research and Development, IEEE (SCOReD2016), 13th-14th December 2016, Kuala Lumpur. http://ieeexplore.ieee.org/document/7810084/ 10.1109/SCORED.2016.7810084
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Tahir, Mohammad Habaebi, Mohamed Hadi Islam, Md. Rafiqul Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
description	We consider the problem of increasing the throughput in cognitive radio networks by forming coalitions among cognitive radio user in additive white Gaussian noise (AWGN) channel. For coalition formation using matching theory, we analyze two algorithms, namely Gale-Shapely algorithm and one-sided stable matching algorithm. For the first algorithm for coalition formation, well-known gale shapely algorithm is used to achieve cooperation among the cognitive radios for spectrum detection and sharing. Each cognitive radio prepares a preference list of other radios in the vicinity for cooperation and hence to form a coalition formation. The second algorithm is based one-sided matching theory which is a variant of the Gale-Shapely algorithm, however, to achieve a stable cooperation, certain criteria must be satisfied. The procedure is similar to the first algorithm (.i.e. formation of preference list and then making offers to other cognitive radio for cooperation) however the difference is in how the coalition formation takes place among the cognitive radios. Finally, using simulations we investigate various aspects of the algorithms and analyse their performance. The proposed algorithms result in improved spectrum detection as well as increasing the spectrum efficiency.
format	Conference or Workshop Item
author	Tahir, Mohammad Habaebi, Mohamed Hadi Islam, Md. Rafiqul
author_facet	Tahir, Mohammad Habaebi, Mohamed Hadi Islam, Md. Rafiqul
author_sort	Tahir, Mohammad
title	Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
title_short	Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
title_full	Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
title_fullStr	Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
title_full_unstemmed	Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
title_sort	performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
publisher	IEEE
publishDate	2017
url	http://irep.iium.edu.my/54042/ http://irep.iium.edu.my/54042/ http://irep.iium.edu.my/54042/ http://irep.iium.edu.my/54042/13/54042.pdf http://irep.iium.edu.my/54042/19/54042_Performance%20analysis%20of%20coalition%20formation%20algorithms_SCOPUS.pdf
first_indexed	2023-09-18T21:16:27Z
last_indexed	2023-09-18T21:16:27Z
_version_	1777411595186470912

Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks

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