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    Energy efficient cross layer design for spectrum sharing systems

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    Type
    Conference Paper
    Authors
    Alabbasi, AbdulRahman cc
    Shihada, Basem cc
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2016-10-06
    Online Publication Date
    2016-10-06
    Print Publication Date
    2016-04
    Permanent link to this record
    http://hdl.handle.net/10754/622543
    
    Metadata
    Show full item record
    Abstract
    We propose a cross layer design that optimizes the energy efficiency of spectrum sharing systems. The energy per good bit (EPG) is considered as an energy efficiency metric. We optimize the secondary user's transmission power and media access frame length to minimize the EPG metric. We protect the primary user transmission via an outage probability constraint. The non-convex targeted problem is optimized by utilizing the generalized convexity theory and verifying the strictly pseudo-convex structure of the problem. Analytical results of the optimal power and frame length are derived. We also used these results in proposing an algorithm, which guarantees the existence of a global optimal solution. Selected numerical results show the improvement of the proposed system compared to other systems. © 2016 IEEE.
    Citation
    Alabbasi A, Shihada B (2016) Energy efficient cross layer design for spectrum sharing systems. 2016 IEEE Wireless Communications and Networking Conference. Available: http://dx.doi.org/10.1109/WCNC.2016.7565051.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 IEEE Wireless Communications and Networking Conference
    Conference/Event name
    2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
    DOI
    10.1109/WCNC.2016.7565051
    Additional Links
    http://ieeexplore.ieee.org/document/7565051/
    ae974a485f413a2113503eed53cd6c53
    10.1109/WCNC.2016.7565051
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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