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    Outage analysis for underlay relay-assisted cognitive networks

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    Type
    Conference Paper
    Authors
    Tourki, Kamel
    Qaraqe, Khalid A.
    Alouini, Mohamed-Slim cc
    KAUST Department
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Communication Theory Lab
    Date
    2012-12
    Permanent link to this record
    http://hdl.handle.net/10754/564639
    
    Metadata
    Show full item record
    Abstract
    Cooperative relay technology was recently introduced into cognitive radio networks in order to enhance network capacity, scalability, and reliability of end-to-end communication. In this paper, we investigate an underlay cognitive network where the quality of service of the secondary link is maintained by triggering an opportunistic regenerative relaying once it falls under an unacceptable level. We first provide the exact cumulative density function (CDF) of received signal-to-noise (SNR) over each hop with co-located relays. Then, the CDFs are used to determine very accurate closed-form expression for the outage probability for a transmission rate R. We validate our analysis by showing that simulation results coincide with our analytical results in Rayleigh fading channels. © 2012 IEEE.
    Citation
    Tourki, K., Qaraqe, K. A., & Alouini, M.-S. (2012). Outage analysis for underlay relay-assisted cognitive networks. 2012 IEEE Global Communications Conference (GLOBECOM). doi:10.1109/glocom.2012.6503284
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2012 IEEE Global Communications Conference (GLOBECOM)
    Conference/Event name
    2012 IEEE Global Communications Conference, GLOBECOM 2012
    ISBN
    9781467309219
    DOI
    10.1109/GLOCOM.2012.6503284
    ae974a485f413a2113503eed53cd6c53
    10.1109/GLOCOM.2012.6503284
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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