• DocumentCode
    509942
  • Title

    On the bivariate pearson type VII and its application to the BER analysis for SC-FDMA

  • Author

    Sánchez-Sánchez, Juan J. ; Fernández-Plazaola, Unai ; Aguayo-Torres, M.C. ; Entrambasaguas, J.T.

  • Author_Institution
    Dept. de Ing. de Comun., Univ. de Malaga, Malaga, Spain
  • fYear
    2009
  • fDate
    24-27 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper gathers some of the authors´ work with the family of the elliptically contoured distributions and its application to the analysis of performance in communication systems. Specifically, the Pearson type VII distribution is used to derive a closed-form expression for the BER in an LTE uplink system over a Rayleigh fading channel. ECDs possess many nice properties similar to those of multivariate normal distributions and allow analyzing scenarios where gaussianity assumption no longer applies. Based on the knowledge of these distributions, the stochastic nature of enhanced noise, which appears when zero-forcing equalization is applied, in a SC-FDMA system was studied. Finally, Gil-Pelaez expression for the inversion theorem is used to obtain the closed-form expression for BER in interleaved SC-FDMA when sub-carriers are assumed to be independent.
  • Keywords
    Rayleigh channels; error statistics; frequency division multiple access; BER analysis; Gil-Pelaez expression; LTE uplink system; Rayleigh fading channel; SC-FDMA; bivariate Pearson type VII; closed-form expression; communication systems; elliptically contoured distributions; inversion theorem; zero-forcing equalization; Bandwidth; Bit error rate; Closed-form solution; Fading; Frequency division multiaccess; Gaussian distribution; OFDM; Peak to average power ratio; Stochastic resonance; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Sciences in Biomedical and Communication Technologies, 2009. ISABEL 2009. 2nd International Symposium on
  • Conference_Location
    Bratislava
  • Print_ISBN
    978-1-4244-4640-7
  • Electronic_ISBN
    978-1-4244-4641-4
  • Type

    conf

  • DOI
    10.1109/ISABEL.2009.5373646
  • Filename
    5373646