Design and Analysis of Optimal Adaptive De-jitter Buffers

摘要

In order to transfer voice or some other application requiring real-time presentation over a packet network we need a de-jitter buffer to eliminate delay jitters. An important design parameter is the depth of the de-jitter buffer since it influences two important parameters controlling voice quality, namely voice-path delay and packet loss probability. In this paper we propose and study several schemes for optimally adjusting the depth of the de-jitter buffer. In addition to de-jitter-buffer depth adjustments within a call, the initial value and rates of changes of the de-jitter buffer depth are allowed to depend on the class of the call and are adaptively adjusted (upwards or downwards) for every new call based on voice-path delay and packet loss probability measurements over one or more previous calls. Parameter adjustments are geared towards either (a) minimizing voice-path delay while maintaining a packet loss probability objective, or (b) maximizing R-Factor, an objective measure of voice quality that depends both on the voice-path delay and the packet loss probability. Using simulation models it is shown that adaptive schemes perform better than static ones and adaptive schemes with learning perform better than ones without learning.