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    Overlay Cognitive Radios With Channel-Aware Adaptive Link Selection and Buffer-Aided Relaying

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    Type
    Article
    Authors
    Shaqfeh, Mohammad
    Zafar, Ammar cc
    Alnuweiri, Hussein
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2015-08
    Permanent link to this record
    http://hdl.handle.net/10754/594221
    
    Metadata
    Show full item record
    Abstract
    The aim of this work is to maximize the long-term average achievable rate region of a primary and a secondary source-destination pairs operating in an overlay setup over block-fading channels. To achieve this objective, we propose an opportunistic strategy to grant channel access to the primary and secondary sources based on the channel conditions in order to exploit the available multiple-link diversity gains in the system. The secondary source has causal knowledge of the primary messages and it acts as a relay of the primary source in return for getting access to the channel. To maximize the gains of relaying, the relay and destination are equipped with buffers to enable the use of channel-aware adaptive link selection. We propose and optimize different link selection policies and characterize their expected achievable rates. Also, we provide several numerical results to demonstrate the evident mutual benefits of buffer-aided cooperation and adaptive link selection to the primary and the secondary source-destination pairs. © 1972-2012 IEEE.
    Citation
    Shaqfeh M, Zafar A, Alnuweiri H, Alouini M-S (2015) Overlay Cognitive Radios With Channel-Aware Adaptive Link Selection and Buffer-Aided Relaying. IEEE Trans Commun 63: 2810–2822. Available: http://dx.doi.org/10.1109/tcomm.2015.2448082.
    Sponsors
    NPRP[05-401-2-161]
    Qatar National Research Fund[5-250-2-087]
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Communications
    DOI
    10.1109/tcomm.2015.2448082
    ae974a485f413a2113503eed53cd6c53
    10.1109/tcomm.2015.2448082
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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