An Adaptive Predictor for Media Playout Buffering

1. An Adaptive Predictor for Media Playout Buffering Phillip DeLeon New Mexico State University Cormac J. Sreenan AT&T Labs ICASSP 99’

2. Playout Problem

3. Approach Using Autoregressive Average of Network Delay (Reactive Algorithm) In talk-spurt:

4. Other Approaches • Using statistical representation of network delays observed during the stream lifetime. • Monitoring variations in receiver buffer length to determining playout delay.

5. Concept of This Approach • The use of an accurate prediction as opposed to an autoregressive average will adjust the buffer delay more effectively.

6. Normalized Least-mean-square (NLMS) Adaptive Predictor

7. Normalized Least-mean-square (NLMS) Adaptive Predictor (continued) • 1*N vector of adaptive filter coefficients. • step-size • 1*N vector of the most recent N netwprk delays. • estimation error. • network delay estimate for packet i.

8. End to End Delay Estimation

9. Comparing Reactive and NLMS Algorithms

10. Experimental Results

11. Conclusion • Compared to conventional reactive technique which use an autoregressive average of the network delay, this predictive technique in general can produce lower average total end-to-end delays.