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dc.contributor.authorTourki, Kamel
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorQaraqe, Khalid A.
dc.contributor.authorYang, Hongchuan
dc.date.accessioned2015-08-03T10:44:16Z
dc.date.available2015-08-03T10:44:16Z
dc.date.issued2013-01-10
dc.identifier.citationTourki, K., Alouini, M.-S., Qaraqe, K. A., & Yang, H.-C. (2013). Performance analysis of opportunistic nonregenerative relaying. Wireless Communications and Mobile Computing, n/a–n/a. doi:10.1002/wcm.2347
dc.identifier.issn15308669
dc.identifier.doi10.1002/wcm.2347
dc.identifier.urihttp://hdl.handle.net/10754/562599
dc.description.abstractOpportunistic relaying in cooperative communication depends on careful relay selection. However, the traditional centralized method used for opportunistic amplify-and-forward protocols requires precise measurements of channel state information at the destination. In this paper, we adopt the max-min criterion as a relay selection framework for opportunistic amplify-and-forward cooperative communications, which was exhaustively used for the decode-and-forward protocol, and offer an accurate performance analysis based on exact statistics of the local signal-to-noise ratios of the best relay. Furthermore, we evaluate the asymptotical performance and deduce the diversity order of our proposed scheme. Finally, we validate our analysis by showing that performance simulation results coincide with our analytical results over Rayleigh fading channels, and we compare the max-min relay selection with their centralized channel state information-based and partial relay selection counterparts.
dc.description.sponsorshipThis publication was made possible by the NPRP grant 27-6-7-10 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
dc.publisherWiley
dc.subjectCooperative diversity
dc.subjectOpportunistic amplify-and-forward relaying
dc.subjectPerformance analysis
dc.titlePerformance analysis of opportunistic nonregenerative relaying
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalWireless Communications and Mobile Computing
dc.contributor.institutionECEN Department, Education City, Texas A and M University at Qatar, Engineering BuildingDoha, Qatar
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of VictoriaVictoria, BC, Canada
kaust.personAlouini, Mohamed-Slim
dc.date.published-online2013-01-10
dc.date.published-print2013-01


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