All-order PMD outage probability evaluation by Markov chain Monte Carlo Simulations

Author

Secondini, Marco ; Forestieri, Enrico

Author_Institution

Scuola Superiore Sant´´Anna di Studi Univ. e Perfezionamento, Pisa, Italy

Volume

17

Issue

7

fYear

2005

fDate

7/1/2005 12:00:00 AM

Firstpage

1417

Lastpage

1419

Abstract

This letter proposes a novel method to estimate the outage probability of a system, taking into account all polarization-mode-dispersion orders. Markov chains and dependent sampling are used to drastically reduce the number of simulations required to estimate rare events. The method is very simple and fast, and its accuracy can be monitored and increased at will.

Keywords

Markov processes; Monte Carlo methods; optical fibre communication; optical fibre dispersion; optical fibre polarisation; probability; sampling methods; Markov chain simulations; Monte Carlo simulations; dependent sampling; optical fiber communication; outage probability; polarization mode dispersion orders; rare events estimation; Analytical models; Computational modeling; Discrete event simulation; Iterative algorithms; Monitoring; Monte Carlo methods; Optical fiber communication; Optical fiber polarization; Optical retarders; Sampling methods; Markov chain Monte Carlo (MCMC); optical fiber communication; outage probability; polarization-mode dispersion (PMD);

fLanguage

English

Journal_Title

Photonics Technology Letters, IEEE

Publisher

ieee

ISSN

1041-1135

Type

jour

DOI

10.1109/LPT.2005.849972

Filename

1453629