Applications of importance sampling to polarization mode dispersion

Abstract

We describe the application of importance sampling to Monte-Carlo simulations of polarization-mode dispersion (PMD) in optical fibers. The method allows rare PMD events to be simulated much more efficiently than with standard MonteCarlo methods, thus making it possible to assess the effect of PMD on system outage probabilities at realistic bit error ratios.