• DocumentCode
    1612037
  • Title

    Modeling of mobile satellite channels by scalable clustering algorithm

  • Author

    Husson, L. ; Dany, J.-C. ; Chambon, S. ; Berradi, K. ; Beffani, A.

  • Author_Institution
    SUPELEC, Gif-sur-Yvette, France
  • Volume
    4
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    2004
  • Abstract
    In order to guarantee the quality of service of satellite communication systems, the effective design must take into account the characteristics of the propagation channels. We focus on the methodology of extraction of the relevant parameters for Markov models corresponding to the received signals of satellite transmissions. Our approach is empirical in the following sense: rather than postulate a priori number of states or probability laws for the instantaneous received power, we try to estimate these laws by processing available experimental signals from the considered channel. The method, used on transmissions in the L-band, is general as it can be applied to various types of signals with a Markovian underlying variability.
  • Keywords
    Markov processes; UHF radio propagation; mobile satellite communication; pattern clustering; probability; signal processing; telecommunication channels; time series; L-band; Markov models; QoS guarantee; atmospheric conditions; instantaneous received power; mobile satellite channels modeling; probability laws; propagation channel characteristics; quality of service; received signals; satellite transmissions; scalable clustering algorithm; signal processing; time series; Bayesian methods; Clustering algorithms; Histograms; Power system modeling; Production; Quality of service; Satellite broadcasting; Satellite communication; Signal processing; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2002. VTC Spring 2002. IEEE 55th
  • Print_ISBN
    0-7803-7484-3
  • Type

    conf

  • DOI
    10.1109/VTC.2002.1002974
  • Filename
    1002974