We have shown how importance-sampled Monte-Carlo simulations provide an efficient method for computing the tails of the differential group delay (DGD) probability distribution due to polarization-mode dispersion (PMD). We have also applied this technique to study PMD compensators with an arbitrarily rotatable polarization controller and a single, fixed DGD element, demonstrating that for realistic power penalties the optimal DGD value used in the compensator can be two to three times larger than the mean DGD.
Calculations of outage probabilities due to PMD using importance sampling
01.01.2001
192662 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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