Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM

This pape? presents a novel approach to dynamic transmission bandwidth allocation for transport of real-time variable-bit-rate video in ATM networks. Describe video traffic in the frequency domain: the low frequency signal captures the slow time-variation of consecutive scene changes; the high frequency signal exhibits the feature of strong frame autocorrelation. Our study indicates that the video transmission bandwidth in a finite-buffer system i s essentially characterized by the low frequency signal. Since the time scale of scene changes is usually in the range of a second or longer, the low frequency video signal i s defined in a well-founded low frequency band. Hence, 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 us. 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 proposed dynamic bandwidth allocation scheme is shown to be promising and practically feasible in obtaining efficient transmission of real-time video trafic with guaranteed quality of services.