Statistical analysis and evaluation of modelling techniques for self-similar video source traffic

Author

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

Author_Institution

Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK

Volume

2

fYear

2000

fDate

2000

Firstpage

1540

Abstract

Video is expected to be a significant part of information in future mobile communication systems. An accurate and efficient video source traffic characterisation is therefore essential in order to assess new traffic handling algorithms and appropriately dimension the supporting communication networks. Modelling VBR traffic as a stochastic process is often challenging since such traffic exhibits the co-existence of long-term and short-term dependencies. To highlight such issues, in this paper, three video traffic-modelling techniques are presented and analysed in terms of first- and second-order statistics. A comparative evaluation of these models has been carried out based on simulation

Keywords

data compression; fractals; land mobile radio; queueing theory; statistical analysis; stochastic processes; telecommunication traffic; transform coding; video coding; visual communication; wavelet transforms; VBR traffic; communication networks; first-order statistics; long-term dependency; mobile communication systems; modelling techniques; queueing system; second-order statistics; self-similar video source traffic; short-term dependency; simulation; statistical analysis; stochastic process; traffic handling algorithms; video coding; wavelet algorithm; Autocorrelation; Bit rate; Performance analysis; Statistical analysis; Stochastic processes; Streaming media; Telecommunication traffic; Traffic control; Video coding; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 2000. PIMRC 2000. The 11th IEEE International Symposium on

Conference_Location

London

Print_ISBN

0-7803-6463-5

Type

conf

DOI

10.1109/PIMRC.2000.881676

Filename

881676