MPEG-4 Video Transmission over Wireless Networks: A Link Level Performance Study

With the scalability and flexibility of the MPEG-4 and the emergence of the broadband wireless network, wireless multimedia services are foreseen to become deployed in the near future. Transporting MPEG-4 video over the broadband wireless network is expected to be an important component of many emerging multimedia applications. One of the critical issues for multimedia applications is to ensure that the quality-of-service (QoS) requirement to be maintained at an acceptable level. This is further challenged in that such a service guarantee must be achieved under unreliable and time-varying wireless channels. In this paper we study the link level performance of MPEG-4 video transmission over the uplink of an unreliable wireless channel. We introduce the discrete time batch Markovian arrival process (DBMAP) with two types of arrivals to model the MPEG-4 video source, which takes into account the inherent nature of the adaptiveness of the video traffic. We prove that in a hidden Markov modeled (HMM) wireless channel with probabilistic transmission, the service time for an arbitrary radio link control (RLC) burst follows phase type (PH-type) distribution. We show that the link level performance of a wireless video transmission system can be modeled by a DBMAP/PH/1 priority queue, and present computation algorithm and numerical results for the queueing model. Extensive simulations are carried out on the queueing behavior of the video transmission buffer, as well as on the packet level error behavior of the video data. The results demonstrate that video quality can be substantially improved by preserving the high priority video data during the transmission.

[1]  SMAQ: a measurement-based tool for traffic modeling and queuing analysis. I. Design methodologies and software architecture , 1998 .

[2]  Dogu Arifler,et al.  SMAQ: a measurement-based tool for traffic modeling and queuing analysis. Part I: Design methodologies and software architecture , 1998, IEEE Commun. Mag..

[3]  Oliver Rose,et al.  Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems , 1995, Proceedings of 20th Conference on Local Computer Networks.

[4]  Giuseppe Russo,et al.  Traffic modelling of video sources codified at very low bit rate with the H.263 test model , 1997, Proceedings of ICC'97 - International Conference on Communications.

[5]  William Turin,et al.  Performance Analysis and Modeling of Digital Transmission Systems (Information Technology: Transmission, Processing and Storage) , 2004 .

[6]  M. Neuts,et al.  A SINGLE-SERVER QUEUE WITH SERVER VACATIONS AND A CLASS OF NON-RENEWAL ARRIVAL PROCESSES , 1990 .

[7]  San-qi Li,et al.  Queue response to input correlation functions: continuous spectral analysis , 1993, TNET.

[8]  Marcel F. Neuts,et al.  Structured Stochastic Matrices of M/G/1 Type and Their Applications , 1989 .

[9]  Marcel F. Neuts,et al.  Markov chains with marked transitions , 1998 .

[10]  B. Sklar,et al.  Rayleigh fading channels in mobile digital communication systems Part I: Characterization , 1997, IEEE Commun. Mag..

[11]  Yiwei Thomas Hou,et al.  Scalable video coding and transport over broadband wireless networks , 2001, Proc. IEEE.

[12]  M. Neuts,et al.  A single-server queue with server vacations and a class of non-renewal arrival processes , 1990, Advances in Applied Probability.

[13]  Alfio Lombardo,et al.  An accurate and treatable Markov model of MPEG-video traffic , 1998, Proceedings. IEEE INFOCOM '98, the Conference on Computer Communications. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Gateway to the 21st Century (Cat. No.98.

[14]  David R. Smith,et al.  Digital Transmission Systems , 1980 .

[15]  Christoph Lindemann,et al.  Traffic Modeling of IP Networks Using the Batch Markovian Arrival Process , 2002, Computer Performance Evaluation / TOOLS.

[16]  Predrag R. Jelenkovic,et al.  The Effect of Multiple Time Scales and Subexponentiality in MPEG Video Streams on Queueing Behavior , 1997, IEEE J. Sel. Areas Commun..

[17]  Walter Willinger,et al.  Long-range dependence in variable-bit-rate video traffic , 1995, IEEE Trans. Commun..

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

[19]  Michele Zorzi,et al.  On channel modeling for delay analysis of packet communications over wireless links , 1998 .

[20]  Marcel F. Neuts,et al.  Matrix-geometric solutions in stochastic models - an algorithmic approach , 1982 .

[21]  Michael R. Izquierdo,et al.  A survey of statistical source models for variable-bit-rate compressed video , 1999, Multimedia Systems.

[22]  Yiwei Thomas Hou,et al.  On end-to-end architecture for transporting MPEG-4 video over the Internet , 2000, IEEE Trans. Circuits Syst. Video Technol..

[23]  Winfried K. Grassmann,et al.  Matrix Analytic Methods , 2000 .

[24]  Ya-Qin Zhang,et al.  Robust video coding algorithms and systems , 1999 .

[25]  E. Gilbert Capacity of a burst-noise channel , 1960 .

[26]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[27]  A. Alfa Matrix‐geometric solution of discrete time MAP/PH/1 priority queue , 1998 .

[28]  T. V. Lakshman,et al.  What are the implications of long-range dependence for VBR-video traffic engineering? , 1996, TNET.

[29]  Walter Willinger,et al.  Analysis, modeling and generation of self-similar VBR video traffic , 1994, SIGCOMM.

[30]  T. V. Lakshman,et al.  Statistical analysis and simulation study of video teleconference traffic in ATM networks , 1992, IEEE Trans. Circuits Syst. Video Technol..

[31]  Bo Li,et al.  A matrix-analytic solution for the DBMAP/PH/1 priority queue , 2006, Queueing Syst. Theory Appl..

[32]  Lionel M. Ni,et al.  Video traffic modeling over wireless networks , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.