an:01930620
Zbl 1038.90016
Stepanov, S. N.; Iversen, V. B.
Methods for reducing the amount of computation in modeling lossy communication systems based on ignoring low-probability states
EN
Probl. Inf. Transm. 37, No. 3, 262-275 (2001); translation from Probl. Peredachi Inf. 37, No. 3, 82-95 (2001).
00079177
2001
j
90B15 90B22
Poisson traffic flows; convolution algorithm; lossy communication systems
Summary: Ways for reducing the amount of computation when estimating capacity characteristics of models of lossy communication systems with product form representation of the stationary probability vector are considered. The algorithm of convolution is applied to the computation of the characteristics. The reduction in computation is due to both decreasing the number of convolutions required for the estimation of service characteristics of all the flows and decreasing the number of operations in performing a single convolution, which is achieved by ignoring low-probability states in the process of computation.