Importance sampling for polarization-mode dispersion

Gino Biondini*, William L. Kath, Curtis R. Menyuk

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

75 Scopus citations


We describe the application of importance sampling to Monte-Carlo simulations of polarization-mode dispersion (PMD) in optical fibers. The method allows rare differential group delay (DGD) events to be simulated much more efficiently than with standard Monte-Carlo methods and, thus, it can be used to assess PMD-induced system outage probabilities at realistic bit-error rates. We demonstrate the technique by accurately calculating the tails of the DGD probability distribution with a relatively small number of Monte-Carlo trials.

Original languageEnglish (US)
Pages (from-to)310-312
Number of pages3
JournalIEEE Photonics Technology Letters
Issue number3
StatePublished - Mar 2002


  • Optical fiber communications
  • Polarization-mode dispersion
  • Simulation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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