• DocumentCode
    586183
  • Title

    Asymptotic Outage Probability for Amplify-and-Forward CDMA Systems over Nakagami-m Fading Channels

  • Author

    Mehemed, Ali ; Hamouda, Walaa

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we address the performance of cooperative code-division multiple-access (CDMA) systems using amplify-and-forward (AF) relaying over independent nonidentical (i.ni.d) Nakagami-m fading channels. The outage probability of the system is investigated using the moment generating function (MGF) of the total signal-to-noise ratio (SNR) at the base station. Since it is complicated to derive a closed form expression of the outage probability, we derive an approximation for the probability density function (PDF) of the total SNR which in turn enables us to derive the asymptomatic outage probability for any value of the fading parameter m. Simulation results are presented to assess the accuracy of our analytical results. Furthermore, using the derived outage probability, we investigate the diversity advantage of the cooperative system under different system settings.
  • Keywords
    Nakagami channels; amplify and forward communication; code division multiple access; cooperative communication; probability; Nakagami-m fading channels; amplify-and-forward CDMA systems; amplify-and-forward relaying; asymptotic outage probability; base station; closed form expression; cooperative code-division multiple-access systems; cooperative system; moment generating function; probability density function; signal-to-noise ratio; Approximation methods; Base stations; Diversity reception; Fading; Multiaccess communication; Relays; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6399064
  • Filename
    6399064