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    Novel asymptotic results on the high-order statistics of the channel capacity over generalized fading channels

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    Type
    Conference Paper
    Authors
    Yilmaz, Ferkan
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2012-06
    Permanent link to this record
    http://hdl.handle.net/10754/564565
    
    Metadata
    Show full item record
    Abstract
    The exact analysis of the higher-order statistics of the channel capacity (i.e., higher-order ergodic capacity) often leads to complicated expressions involving advanced special functions. In this paper, we provide a generic framework for the computation of the higher-order statistics of the channel capacity over generalized fading channels. As such, this novel framework for the higher-order statistics results in simple, closed-form expressions which are shown to be asymptotically tight bounds in the high signal-to-noise ratio (SNR) regime of a variety of fading environment. In addition, it reveals the existence of differences (i.e., constant capacity gaps in log-domain) among different fading environments. By asymptotically tight bound we mean that the high SNR limit of the difference between the actual higher-order statistics of the channel capacity and its asymptotic bound (i.e., lower bound) tends to zero. The mathematical formalism is illustrated with some selected numerical examples that validate the correctness of our newly derived results. © 2012 IEEE.
    Citation
    Yilmaz, F., & Alouini, M.-S. (2012). Novel asymptotic results on the high-order statistics of the channel capacity over generalized fading channels. 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). doi:10.1109/spawc.2012.6292934
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
    Conference/Event name
    2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
    ISBN
    9781467309714
    DOI
    10.1109/SPAWC.2012.6292934
    ae974a485f413a2113503eed53cd6c53
    10.1109/SPAWC.2012.6292934
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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