Real-time packet loss prediction based on end-to-end delay variation

The effect of packet loss on the quality of real-time audio is significant. Nevertheless, Internet measurement experiments continue to show a considerable variation of packet loss, which makes audio error recovery and concealment challenging. We propose a novel framework to predict packet loss and congestion, based on measurements of end-to-end delay variation and trend, enabling proactive error recovery and congestion avoidance. Our preliminary simulation and experimentation results with various sites on the Internet show the effectiveness and the accuracy of the Loss Predictor technique.