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Abstract: We take an analytical approach to study Quality of user Experience QoE forvideo streaming applications. First, we show that random linear network codingapplied to blocks of video frames can significantly simplify the packetrequests at the network layer and save resources by avoiding duplicate packetreception. Network coding allows us to model the receiver-s buffer as a queuewith Poisson arrivals and deterministic departures. We consider the probabilityof interruption in video playback as well as the number of initially bufferedpackets initial waiting time as the QoE metrics. We characterize the optimaltrade-off between these metrics by providing upper and lower bounds on theminimum initial buffer size, required to achieve certain level of interruptionprobability for different regimes of the system parameters. Our bounds areasymptotically tight as the file size goes to infinity.



Autor: Ali Parandehgheibi, Muriel Medard, Srinivas Shakkottai, Asu Ozdaglar

Fuente: https://arxiv.org/







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