• DocumentCode
    3341277
  • Title

    Cooperative Diversity over Fading Channels with Impulsive Noise

  • Author

    Al-Dharrab, Suhail ; Uysal, Murat

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON
  • fYear
    2009
  • fDate
    5-8 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Although there already exists a rich literature on cooperative diversity, current results are mainly restricted to the conventional assumption of additive white Gaussian noise (AWGN). AWGN model realistically represents the thermal noise at the receiver, but ignores the impulsive nature of atmospheric noise, electromagnetic interference, or man-made noise which might be dominant in many practical applications. In this paper, we investigate the performance of cooperative communication over Rayleigh fading channels in the presence of impulsive noise modeled by Middleton Class A noise. Specifically, we consider a multi-relay network with amplify-and-forward relaying. Through the derivations of the pairwise error probability, we quantify the diversity advantages. Based on the minimization of a union bound on the error rate performance, we formulate optimal power allocation schemes and demonstrate significant performance gains over their counterparts with equal power allocation. An extensive Monte Carlo simulation is also presented to illustrate the performance of cooperative schemes in various impulsive environments.
  • Keywords
    AWGN channels; Monte Carlo methods; Rayleigh channels; error statistics; impulse noise; Monte Carlo simulation; additive white Gaussian noise; cooperative diversity; fading channels; impulsive noise; AWGN; Additive white noise; Atmospheric modeling; Electromagnetic interference; Electromagnetic modeling; Error analysis; Fading; Gaussian noise; Pairwise error probability; Relays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
  • Conference_Location
    Budapest
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-2947-9
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2009.4917644
  • Filename
    4917644