• DocumentCode
    2267967
  • Title

    A study of video source modelling for 3G mobile communication systems

  • Author

    Lazaro, O. ; Girma, D. ; Dunlop, J.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    461
  • Lastpage
    465
  • Abstract
    Video is expected to be a significant part of information carried by broadband integrated networks and 3G mobile communication systems. It is therefore important to provide accurate and efficient models for variable-bit-rate (VBR) video traffic in order to assess new algorithms in 3G mobile systems. Modelling VBR traffic as a stochastic process is a challenging task since such traffic exhibits a complex statistical property with co-existence of long-term and short-term dependencies. Three video traffic-modelling techniques (the FARIMA-based model, GEAR model and wavelet-based model) are presented and analysed in terms of first- and second-order statistics, with considerations of computing resource requirements. Comparative evaluation of these models is presented based on statistical analysis and observations in a simulation scenario
  • Keywords
    land mobile radio; 3G mobile communication systems; FARIMA-based model; GEAR model; PDF; VBR traffic; algorithms; autocorrelation function; broadband integrated networks; computing resource requirements; first-order statistics; long-term dependency; queueing; second-order statistics; short-term dependency; simulation; statistical analysis; statistical observations; statistical property; stochastic process; variable bit rate video traffic; video coding; video source modelling; video traffic modelling; wavelet-based model;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    3G Mobile Communication Technologies, 2000. First International Conference on (Conf. Publ. No. 471)
  • Conference_Location
    London
  • Print_ISBN
    0-85296-726-8
  • Type

    conf

  • DOI
    10.1049/cp:20000092
  • Filename
    858342