Predictive dynamic bandwidth allocation for efficient transport of real-time VBR video over ATM

This paper presents a novel approach to dynamic transmission bandwidth allocation for transport of real-time variable-bit-rate video in ATM networks. Video traffic statistics are measured in the frequency domain. The low-frequency signal captures the slow time-variation of consecutive scene changes...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 1995-01, Vol.13 (1), p.12-23
Main Authors: Song Chong, San-qi Li, Ghosh, J.
Format: Article
Language:English
Subjects:
Bandwidth
Channel allocation
Delay effects
Frequency domain analysis
Frequency measurement
Layout
Neural networks
Statistics
Telecommunication traffic
Traffic control
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Summary:This paper presents a novel approach to dynamic transmission bandwidth allocation for transport of real-time variable-bit-rate video in ATM networks. Video traffic statistics are measured in the frequency domain. The low-frequency signal captures the slow time-variation of consecutive scene changes while the high-frequency signal exhibits the feature of strong frame autocorrelation. Our queueing study indicates that the video transmission bandwidth in a finite-buffer system is essentially characterized by the low-frequency signal. We further observe in typical JPEG/MPEG video sequences that the time scale of video scene changes is in the range of a second or longer, which localizes the low-frequency video signal in a well-defined low-frequency band. Hence, in a network design it is feasible to implement dynamic allocation of video transmission bandwidth using on-line observation and prediction of scene changes. Two prediction schemes are examined: recursive least square method and time delay neural network method. A time delay neural network with low-complexity high-order architecture, called "pi-sigma network," is successfully used to predict scene changes. The overall dynamic bandwidth-allocation scheme presented is shown to be promising and practically feasible in obtaining efficient transmission of real-time video traffic.< >
ISSN:0733-8716
1558-0008
DOI:10.1109/49.363150