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    On the Outage Performance of Full-Duplex Selective Decode-and-Forward Relaying

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    20130225_1540_SDF-FDR.pdf
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    Type
    Article
    Authors
    Khafagy, Mohammad Galal cc
    Ismail, Amr
    Alouini, Mohamed-Slim cc
    Aissa, Sonia
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2013-05-01
    Online Publication Date
    2013-05-01
    Print Publication Date
    2013-06
    Permanent link to this record
    http://hdl.handle.net/10754/270352
    
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    Abstract
    We evaluate the outage performance in a three-terminal full-duplex relay channel that adopts a selective decode-and-forward protocol, taking relay self-interference into account. Previous work focused on coverage extension scenarios where direct source-destination transmissions are neglected or considered as interference. In this work, we account for the relay self-interference, and exploit the cooperative diversity offered by the independently fading source/relay message replicas that arrive at the destination. We present an approximate, yet accurate, closed-form expression for the end-to-end outage probability that captures their joint effect. With the derived expression in hand, we propose a relay transmit power optimization scheme that only requires the relay knowledge of channel statistics. Finally, we corroborate our analysis with simulations.
    Citation
    Khafagy, M., Ismail, A., Alouini, M.-S., & Aissa, S. (2013). On the Outage Performance of Full-Duplex Selective Decode-and-Forward Relaying. IEEE Communications Letters, 17(6), 1180–1183. doi:10.1109/lcomm.2013.042313.130444
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Communications Letters
    DOI
    10.1109/LCOMM.2013.042313.130444
    ae974a485f413a2113503eed53cd6c53
    10.1109/LCOMM.2013.042313.130444
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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