1996
DOI: 10.1049/el:19960840
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Estimation of the Gilbert model parameters usingthe simulated annealing method

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Cited by 5 publications
(4 citation statements)
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“…• Burst or sequence of losses The channel loss process of such network causes has been modeled in literature by several common models such as the Poisson model, Gilbert model, and Bernoulli model [7,8]. We carried out the analysis of communication channels that produce this mixture of losses using these different common packet loss models.…”
Section: Packet Loss Distributions and Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…• Burst or sequence of losses The channel loss process of such network causes has been modeled in literature by several common models such as the Poisson model, Gilbert model, and Bernoulli model [7,8]. We carried out the analysis of communication channels that produce this mixture of losses using these different common packet loss models.…”
Section: Packet Loss Distributions and Modelingmentioning
confidence: 99%
“…It is worth noting that, when the Gilbert channel loss model [6,7,8] is used to simulate packet loss, there are two states need to be analyzed in our study which are: the good or no-loss state where no packet loss occurs (State 1), and the loss state where packets are lost (State 0). In any of these states the channel is, the loss occurs following an independent and identical distribution (iid) model [10].…”
Section: Lower Layer Packet Loss Process and Its Parametersmentioning
confidence: 99%
“…The main simulation parameters are listed in Table I. A two-state Gilbert channel loss model [8] is adopted for modelling timecorrelated channel errors. A transform expand sample based MPEG-4 traffic generator [9] which generates traffic that has the same first and second order statistics as an original MPEG-4 trace is used for the simulation of real time traffic.…”
Section: A Simulation Setupmentioning
confidence: 99%
“…In an earlier work [21], we presented preliminary experimental results showing that the simulated annealing technique [22] is preferable to the gradient method for use in estimating Gilbert model parameters. However, for Fritchman channel modeling problems, the error-performance surface tends to exhibit many different convex regions and has been found difficult to optimize by means of the simulated annealing algorithm.…”
Section: Parameter Estimation In Gilbert and Fritchman Modelsmentioning
confidence: 99%