On loss probabilities in presence of redundant packets and several traffic sources

Ait-Hellal, Omar; Altman, Eitan; Jean-Marie, Alain; Kurkova, Irina

doi:10.1016/s0166-5316(99)00017-6

Cited by 33 publications

(36 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, the exponential PSD is a good approximation for the considered empirical PSD G1, and for other empirical PSDs to be found at [13]. This finding justifies the assumption of exponential service time distribution in earlier works on the efficiency of FEC [3,[14][15][16]44].…”

Section: Constant Average Load Casesupporting

confidence: 77%

On the effects of the packet size distribution on FEC performance

2006

View full text Add to dashboard Cite

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/E r /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.

show abstract

Section: Constant Average Load Casesupporting

confidence: 77%

On the effects of the packet size distribution on FEC performance

2006

View full text Add to dashboard Cite

show abstract

“…In [4], for the first time the effectiveness of FEC parameters in view of losses of type 2 was investigated. However, the continuous time model applied in [4] leads to a very complex mathematical derivation and the actual calculation of the effectiveness of the FEC parameters (n, k) is computationally very expensive.…”

Section: Introductionmentioning

confidence: 99%

“…However, the continuous time model applied in [4] leads to a very complex mathematical derivation and the actual calculation of the effectiveness of the FEC parameters (n, k) is computationally very expensive. The less complex, asymptotic algorithms also proposed in [4] only give valid results for a limited range of input parameters.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to [4], we use a discrete time model that provides both a short mathematical derivation as well as an exact and computationally simple solution for all possible values of network parameters. Different from previous work quoted above, the current packet loss is not used explicitly as an input parameter for the algorithm to determine the FEC parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Parameter Settings for Forward Error Correction Schemes for Multimedia Streaming over Wireless Networks

Bauer

Jiang

2005

2005 IEEE 7th Workshop on Multimedia Signal Processing

View full text Add to dashboard Cite

Abstract-This paper investigates algorithms to determine an optimal choice of the FEC parameters (n, k) to mitigate the effects of packet loss due to buffer overflow at a wireless base station on multimedia traffic. We develop an analytic model of the considered network scenario that takes into account the traffic arrival rates, the channel loss characteristics, the size of the buffer at the wireless access point, and the influence of the FEC parameters on the packet loss. Applying the theory of recurrent linear equations, we present a new approach to establish a closed form solution of the underlying Markov model for the buffer occupancy and verify the analytical results via simulations.

show abstract

“…Obviously, adding redundancy with FEC also increases the load of the system, which in turn adds to the number of packets lost. Ait-Hellal et al (1999) and Altman and Jean-Marie (1998) take this effect into account when studying the efficiency of FEC in case of the M/M/1/N loss process. It is observed that redundancy degrades performance in most cases, but a sufficient amount of FEC can decrease the block loss probability if the load remains below unity.…”

mentioning

confidence: 99%

Packet loss characteristics for M/G/1/N queueing systems

et al. 2008

View full text Add to dashboard Cite

In this contribution we investigate higher-order loss characteristics for M/G/1/N queueing systems. We focus on the lengths of the loss and non-loss periods as well as on the number of arrivals during these periods. For the analysis, we extend the Markovian state of the queueing system with the time and number of admitted arrivals since the instant where the last loss occurred. By combining transform and matrix techniques, expressions for the various moments of these loss characteristics are found. The approach also yields expressions for the loss probability and the conditional loss probability. Some numerical examples then illustrate our results

show abstract

On loss probabilities in presence of redundant packets and several traffic sources

Cited by 33 publications

References 10 publications

On the effects of the packet size distribution on FEC performance

On the effects of the packet size distribution on FEC performance

Optimal Parameter Settings for Forward Error Correction Schemes for Multimedia Streaming over Wireless Networks

Packet loss characteristics for M/G/1/N queueing systems

Contact Info

Product

Resources

About