On the effects of the packet size distribution on FEC performance

For multimedia traffic like VBR video, knowledge of the average loss probability is not sufficient to determine the impact of loss on the perceived visual quality and on the possible ways of improving it, for example by forward error correction (FEC) and error concealment. In this paper we investigate how the packet size distribution affects the packet loss process, i.e. the probability of consecutive losses and the distribution of the number of packets lost in a block of packets and the related FEC performance. We present an exact mathematical model for the loss process of an MMPP + MMPP/Er/1/K queue and compare the results of the model to simulations performed with various other packet size distributions (PSDs), among others, the measured PSD from an Internet backbone. The results show that analytical models of the PSD matching the first three moments (mean,variance and skewness) of the empirical PSD can be used to evaluate the performance of FEC in real networks. We conclude that the exponential PSD, though it is not a worst case scenario, is a good approximation for the PSD of today’s Internet to evaluate FEC performance. We also conclude that the packet size distribution affects the packet loss process and thus the efficiency of FEC mainly in access networks where a single multimedia stream might affect the multiplexing behavior. We evaluate how the PSD affects the accuracy of the widely used Gilbert model to calculate FEC performance and conclude that the Gilbert model can capture loss correlations better if the CoV of the PSD is high. 0 This work has been supported in part by E-NEXT and by the Swedish Foundation for Strategic Research under the program Affordable Wireless Services and Infrastructures. ∗ Corresponding author, Address: Osquldas väg 10, 10044 Stockholm, Sweden, Tel.: +46 8 790 4253, Fax: +46 8 752 6548 Email addresses: [email protected] (György Dán), [email protected] (Viktória Fodor), [email protected] (Gunnar Karlsson). Preprint submitted to Computer Networks