Log-average-SNR ratio and cooperative spectrum sensing

Yue, DW; Lau, FCM; Wang, Q

Log-average-SNR ratio and cooperative spectrum sensing

Yue, DW Lau, FCM Wang, Q

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Publication Type:: Journal Article
Citation:: Journal of Communications and Networks, 2016, 18 (3), pp. 311 - 319
Issue Date:: 2016-06-01

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Field	Value	Language
dc.contributor.author	Yue, DW	en_US
dc.contributor.author	Lau, FCM	en_US
dc.contributor.author	Wang, Q https://orcid.org/0000-0002-2326-4549	en_US
dc.date.issued	2016-06-01	en_US
dc.identifier.citation	Journal of Communications and Networks, 2016, 18 (3), pp. 311 - 319	en_US
dc.identifier.issn	1229-2370	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122960
dc.description.abstract	© 2011 KICS. In this paper, we analyze the spectrum-sensing performance of a cooperative cognitive radio (CR) network consisting of a number of CR nodes and a fusion center (FC). We introduce the «log-average-SNR ratio» that relates the average SNR of the CRnode- FC link and that of the primary-user-CR-node link. Assuming that the FC utilizes theK-out-of-N rule as its decision rule, we derive exact expressions for the sensing gain and the coding gain - parameters used to characterize the CR network performance at the high SNR region. Based on these results, we determine ways to optimize the performance of the CR network.	en_US
dc.relation.ispartof	Journal of Communications and Networks	en_US
dc.relation.isbasedon	10.1109/JCN.2016.000046	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Log-average-SNR ratio and cooperative spectrum sensing	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	18	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	18	en_US

Abstract:

© 2011 KICS. In this paper, we analyze the spectrum-sensing performance of a cooperative cognitive radio (CR) network consisting of a number of CR nodes and a fusion center (FC). We introduce the «log-average-SNR ratio» that relates the average SNR of the CRnode- FC link and that of the primary-user-CR-node link. Assuming that the FC utilizes theK-out-of-N rule as its decision rule, we derive exact expressions for the sensing gain and the coding gain - parameters used to characterize the CR network performance at the high SNR region. Based on these results, we determine ways to optimize the performance of the CR network.

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http://hdl.handle.net/10453/122960