H.263 video traffic modelling for low bit rate wireless communications

Video traffic exhibits a greater complexity than traditional services such as voice. Therefore, it is necessary to identify the relevant statistical properties, which characterise this type of traffic and provide the tools to properly model them so that networks could be efficiently dimensioned. This work presents on one hand a detailed analysis of the statistical features, which characterise H.263 video traffic streams coded at bit rates suitable for wireless communications. On the other hand, the paper presents and evaluates an on-line video traffic model, which captures the most significant features observed.

[1]  Michael Devetsikiotis,et al.  Modeling and simulation of self-similar variable bit rate compressed video: a unified approach , 1995, SIGCOMM '95.

[2]  John Dunlop,et al.  Online video traffic modelling with wavelet transform , 2000 .

[3]  Martin Reisslein,et al.  MPEG-4 and H.263 video traces for network performance evaluation , 2001, IEEE Netw..

[4]  Demessie Girma,et al.  Real-time generation of synthetic MPEG-4 video traffic using wavelets , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[5]  Gordon S. Blair,et al.  Supporting video in heterogeneous mobile environments , 1998, SAC '98.

[6]  Bo Ryu,et al.  Modeling and simulation of broadband satellite networks. II. Traffic modeling , 1999, IEEE Commun. Mag..

[7]  Chuanyi Ji,et al.  Modeling video traffic using wavelets , 1998, IEEE Communications Letters.

[8]  D. Girma,et al.  Statistical analysis and evaluation of modelling techniques for self-similar video source traffic , 2000, 11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525).