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    Further Results on Extended Delivery Time for Secondary Packet Transmission

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    Type
    Article
    Authors
    Usman, Muneer
    Yang, Hong-Chuan
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-07-10
    Online Publication Date
    2017-07-10
    Print Publication Date
    2017-10
    Permanent link to this record
    http://hdl.handle.net/10754/625898
    
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    Abstract
    Cognitive radio transceiver can opportunistically access the underutilized spectrum resource of primary systems for new wireless services. With interweave cognitive implementation, secondary transmission may be interrupted by primary transmission. To facilitate the packet delay analysis of such secondary transmission, we study the extended delivery time of secondary packet transmission. In particular, we derive the exact distribution function of extended delivery time of a fixed-size secondary packet with non-work-preserving strategy, where interrupted packets must be repeated. We also analyze the effect of imperfect periodic sensing, i.e., the secondary user periodically senses the spectrum for availability, with a chance of missing an available channel on a certain sensing attempt. These results complement previous work on work-preserving strategy with perfect sensing. Selected numerical and simulation results are presented for verifying the mathematical formulation.
    Citation
    Usman M, Yang H-C, Alouini M-S (2017) Further Results on Extended Delivery Time for Secondary Packet Transmission. IEEE Transactions on Wireless Communications 16: 6451–6459. Available: http://dx.doi.org/10.1109/TWC.2017.2723577.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Wireless Communications
    DOI
    10.1109/TWC.2017.2723577
    Additional Links
    http://ieeexplore.ieee.org/document/7973032/
    ae974a485f413a2113503eed53cd6c53
    10.1109/TWC.2017.2723577
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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