Adaptive importance sampling for performance evaluation and parameter optimization of communications systems (2000)
| Venue: | IEEE Transactions on Communications |
| Citations: | 3 - 0 self |
BibTeX
@ARTICLE{Remondo00adaptiveimportance,
author = {David Remondo and Rajan Srinivasan and Victor F. Nicola and Wim C. Van Etten and Senior Member and Henk E. P. Tattje},
title = {Adaptive importance sampling for performance evaluation and parameter optimization of communications systems},
journal = {IEEE Transactions on Communications},
year = {2000},
volume = {48},
pages = {557--565}
}
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Abstract
Abstract—In this paper, we present new adaptive importance sampling techniques based on stochastic Newton recursions. Their applicability to the performance evaluation of communication systems is studied. Besides bit-error rate (BER) estimation, the techniques are used for system parameter optimization. Two system models that are analytically tractable are employed to demonstrate the validity of the techniques. As an application to situations that are analytically intractable and numerically intensive, the influence of crosstalk in a wavelength-division multiplexing (WDM) crossconnect is assessed. In order to consider a realistic system model, optimal setting of thresholds in the detector is carried out while estimating error rate performances. Resulting BER estimates indicate that the tolerable crosstalk levels are significantly higher than predicted in the literature. This finding has a strong impact on the design of WDM networks. Power penalties induced by the addition of channels can also be accurately predicted in short run-times. Index Terms—Communication system performance, Monte Carlo methods, optical crosstalk, optical fiber communication,
