Joint source/channel coding of statistically multiplexed real-time services on packet networks

We investigate the interactionof congestion control with the partitioning of source information into components of varying importance for variable bit-rate packet voice and packet video. High-priority transport for the more important signal components results in substantially increased objective service quality. Using a Markov chain voice source model with simple PCM speech encoding and a priority queue, simulation results show a signal-to=noise ratio improvement of 45 dB with two priorities over unprioritized system. Perfomance is sensitive to the fraction of traffic placed in each priority, and the optimal partition depends on networks loss condition. When this partition is optimized dynamically, quality degrades gracefully over a wide range of load values. Results with DTC encoded speech and video samples show similar behavior. Variations are investigated such as further partition of low-priority information into multiple priorities. A simulatione with delay added to represent other network nodes shows general insensivity to delay of network feedback information. A comparaison is made between dropping packets on buffer overflow and timeout based on service requirements.