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dc.contributor.authorWang, Wen-Jing
dc.contributor.authorUsman, Muneer
dc.contributor.authorYang, Hong-Chuan
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2017-10-30T08:39:48Z
dc.date.available2017-10-30T08:39:48Z
dc.date.issued2017-05-02
dc.identifier.citationWang W-J, Usman M, Yang H-C, Alouini M-S (2017) Extended Delivery Time Analysis for Secondary Packet Transmission With Adaptive Modulation Under Interweave Cognitive Implementation. IEEE Transactions on Cognitive Communications and Networking 3: 180–189. Available: http://dx.doi.org/10.1109/TCCN.2017.2699971.
dc.identifier.issn2332-7731
dc.identifier.doi10.1109/TCCN.2017.2699971
dc.identifier.urihttp://hdl.handle.net/10754/625983
dc.description.abstractCognitive radio communication can opportunistically access underutilized spectrum for emerging wireless applications. With interweave cognitive implementation, a secondary user (SU) transmits only if primary user does not occupy the channel and waits for transmission otherwise. Therefore, secondary packet transmission involves both transmission periods and waiting periods. The resulting extended delivery time (EDT) is critical to the throughput analysis of secondary system. In this paper, we study the EDT of secondary packet transmission with adaptive modulation under interweave implementation to facilitate the delay analysis of such cognitive radio system. In particular, we propose an analytical framework to derive the probability density functions of EDT considering random-length SU transmission and waiting periods. We also present selected numerical results to illustrate the mathematical formulations and to verify our analytical approach.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7915713/
dc.subjectCognitive radio
dc.subjectDelays
dc.subjectModulation
dc.subjectSensors
dc.subjectSignal to noise ratio
dc.subjectThroughput
dc.titleExtended Delivery Time Analysis for Secondary Packet Transmission With Adaptive Modulation Under Interweave Cognitive Implementation
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Cognitive Communications and Networking
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada
dc.contributor.institutionGoogle Inc., Mountain View, CA, USA
kaust.personAlouini, Mohamed-Slim
dc.date.published-online2017-05-02
dc.date.published-print2017-06


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