Cooperative spectrum sensing based on a modified shuffled frog leaping algorithm in 5G network

Tong, X; Ji, Y; Lin, J; Zhu, J; Sun, F; Zhong, Y; Yang, Y; Zhu, X

Cooperative spectrum sensing based on a modified shuffled frog leaping algorithm in 5G network

Tong, X Ji, Y Lin, J Zhu, J Sun, F Zhong, Y Yang, Y

Zhu, X

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Publication Type:: Journal Article
Citation:: Physical Communication, 2017, 25 pp. 438 - 444
Issue Date:: 2017-12-01

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Field	Value	Language
dc.contributor.author	Tong, X	en_US
dc.contributor.author	Ji, Y	en_US
dc.contributor.author	Lin, J	en_US
dc.contributor.author	Zhu, J	en_US
dc.contributor.author	Sun, F	en_US
dc.contributor.author	Zhong, Y	en_US
dc.contributor.author	Yang, Y https://orcid.org/0000-0001-7439-2156	en_US
dc.contributor.author	Zhu, X https://orcid.org/0000-0002-5814-394X	en_US
dc.date.issued	2017-12-01	en_US
dc.identifier.citation	Physical Communication, 2017, 25 pp. 438 - 444	en_US
dc.identifier.issn	1874-4907	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123955
dc.description.abstract	© 2017 Elsevier B.V. The explosion of different types of wireless communications is leading to an impending spectrum famine. As a result, spectrum sensing has gained increasing interest from governments, industry and regulators. In this paper, a novel approach for cooperative spectrum sensing is proposed based on a modified shuffled frog leaping algorithm (SFLA). This approach is to fuse the perceived results of multiple nodes, and to improve the detection reliability. Simulations are used to compare the performance of the modified SFLA to the conventional one. The performance of the proposed cooperative spectrum sensing method based on the modified SFLA and that of the cooperative spectrum sensing method using modified deflection coefficient (MDC) are also compared. Results show that the proposed SFLA outperforms the traditional SFLA, and the proposed cooperative spectrum sensing method based on the modified SFLA gives higher miss detection probability than the MDC-based method, which validates the effectiveness of the modified SFLA-based cooperative sensing method.	en_US
dc.relation.ispartof	Physical Communication	en_US
dc.relation.isbasedon	10.1016/j.phycom.2017.08.014	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Cooperative spectrum sensing based on a modified shuffled frog leaping algorithm in 5G network	en_US
dc.type	Journal Article
utslib.citation.volume	25	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	25	en_US

Abstract:

© 2017 Elsevier B.V. The explosion of different types of wireless communications is leading to an impending spectrum famine. As a result, spectrum sensing has gained increasing interest from governments, industry and regulators. In this paper, a novel approach for cooperative spectrum sensing is proposed based on a modified shuffled frog leaping algorithm (SFLA). This approach is to fuse the perceived results of multiple nodes, and to improve the detection reliability. Simulations are used to compare the performance of the modified SFLA to the conventional one. The performance of the proposed cooperative spectrum sensing method based on the modified SFLA and that of the cooperative spectrum sensing method using modified deflection coefficient (MDC) are also compared. Results show that the proposed SFLA outperforms the traditional SFLA, and the proposed cooperative spectrum sensing method based on the modified SFLA gives higher miss detection probability than the MDC-based method, which validates the effectiveness of the modified SFLA-based cooperative sensing method.

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http://hdl.handle.net/10453/123955