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    Service Time Analysis for Secondary Packet Transmission with Adaptive Modulation

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    Type
    Conference Paper
    Authors
    Wang, Wen-Jing cc
    Usman, Muneer
    Yang, Hong-Chuan
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-05-12
    Online Publication Date
    2017-05-12
    Print Publication Date
    2017-03
    Permanent link to this record
    http://hdl.handle.net/10754/623908
    
    Metadata
    Show full item record
    Abstract
    Cognitive radio communications can opportunistically access underutilized spectrum for emerging wireless applications. With interweave cognitive implementation, secondary user transmits only if primary user does not occupy the channel and waits for transmission otherwise. Therefore, secondary packet transmission involves both transmission time and waiting time. 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 and throughput analysis of such cognitive radio system. In particular, we propose an analytical framework to derive the probability density functions of EDT considering random-length transmission and waiting slots. We also present selected numerical results to illustrate the mathematical formulations and to verify our analytical approach.
    Citation
    Wang W-J, Usman M, Yang H-C, Alouini M-S (2017) Service Time Analysis for Secondary Packet Transmission with Adaptive Modulation. 2017 IEEE Wireless Communications and Networking Conference (WCNC). Available: http://dx.doi.org/10.1109/wcnc.2017.7925575.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2017 IEEE Wireless Communications and Networking Conference (WCNC)
    DOI
    10.1109/wcnc.2017.7925575
    Additional Links
    http://ieeexplore.ieee.org/document/7925575/
    ae974a485f413a2113503eed53cd6c53
    10.1109/wcnc.2017.7925575
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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