• DocumentCode
    2043902
  • Title

    On the frame error rate of transmission schemes on quasi-static fading channels

  • Author

    Chatzigeorgiou, Ioannis ; Wassell, Ian J. ; Carrasco, Rolando

  • Author_Institution
    Digital Technol. Group, Cambridge Univ., Cambridge
  • fYear
    2008
  • fDate
    19-21 March 2008
  • Firstpage
    577
  • Lastpage
    581
  • Abstract
    It is known that the frame error rate of turbo codes on quasi-static fading channels can be accurately approximated using the convergence threshold of the corresponding iterative decoder. This paper considers quasi-static fading channels and demonstrates that non-iterative schemes can also be characterized by a similar threshold based on which their frame error rate can be readily estimated. In particular, we show that this threshold is a function of the probability of successful frame detection in additive white Gaussian noise, normalized by the squared instantaneous signal-to-noise ratio. We apply our approach to uncoded binary phase shift keying, convolutional coding and turbo coding and demonstrate that the approximated frame error rate is within 0.4 dB of the simulation results. Finally, we introduce performance evaluation plots to explore the impact of the frame size on the performance of the schemes under investigation.
  • Keywords
    AWGN; convolutional codes; error statistics; fading channels; iterative decoding; phase shift keying; turbo codes; additive white Gaussian noise; convergence threshold; convolutional coding; frame detection; frame error rate; iterative decoder; probability; quasistatic fading channels; transmission schemes; turbo codes; uncoded binary phase shift keying; Additive white noise; Binary phase shift keying; Convergence; Convolution; Convolutional codes; Error analysis; Fading; Iterative decoding; Signal to noise ratio; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-2246-3
  • Electronic_ISBN
    978-1-4244-2247-0
  • Type

    conf

  • DOI
    10.1109/CISS.2008.4558591
  • Filename
    4558591