Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107268
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorYue, DW-
dc.creatorLau, FCM-
dc.creatorWang, Q-
dc.date.accessioned2024-06-13T01:05:00Z-
dc.date.available2024-06-13T01:05:00Z-
dc.identifier.urihttp://hdl.handle.net/10397/107268-
dc.language.isoenen_US
dc.publisherKorean Institute of Communication Sciencesen_US
dc.rights© 2016 KICS. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication D. -W. Yue, F. C. M. Lau and Q. Wang, "Log-average-SNR ratio and cooperative spectrum sensing," in Journal of Communications and Networks, vol. 18, no. 3, pp. 311-319, June 2016 is available at https://doi.org/10.1109/TCSII.2019.2935031.en_US
dc.subjectCoding gainen_US
dc.subjectCognitive radio (CR)en_US
dc.subjectLog-average-SNR-ratioen_US
dc.subjectMissing-detection probabilityen_US
dc.subjectSensing gainen_US
dc.subjectSpectrum sensingen_US
dc.titleLog-average-SNR ratio and cooperative spectrum sensingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage311-
dc.identifier.epage319-
dc.identifier.volume18-
dc.identifier.issue3-
dc.identifier.doi10.1109/JCN.2016.000046-
dcterms.abstractIn 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 CR-node-FC link and that of the primary-user-CR-node link. Assuming that the FC utilizes the K-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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of communications and networks, June 2016, v. 18, no. 3, p. 311-319-
dcterms.isPartOfJournal of communications and networks-
dcterms.issued2016-06-
dc.identifier.scopus2-s2.0-84990207360-
dc.identifier.eissn1229-2370-
dc.description.validate202403 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEIE-0858en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Fund for the Doctoral Program of Higher Education; Fundamental Research Funds for the Central Universities; Hangzhou Dianzi Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS26684669en_US
dc.description.oaCategoryGreen (AAM)en_US
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