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In the recent context of Software Defined Optical Network, the fast andaccurate Quality of Transmission (QoT) estimation of the transmission link isessential. Gaussian Noise models are shown to yield a fast estimation of theaverage QoT derived from deterministic system parameters, but do not capturethe QoT variability. In order to assess numerically the stochastic joint effectof Polarization Mode Dispersion (PMD) and Kerr nonlinearities, system designersgenerally use the Split Step Fourier Method (SSFM) based on Manakov-PMDequation neglecting the nonlinear-PMD term which is faster than using CoupledNonLinear Schrodinger Equation (CNLSE) and enough accurate for fiber with shortbirefringence correlation length (around less than 10m). In this work, wepresent insights of the way to tune the parameters of this Manakov-PMD methodand its limitation when seeking an accurate estimation of the Non-LinearInterference (NLI) noise statistical distribution for all fibers potentiallyinstalled in the current optical network. In particular we compare thisManakov-PMD method results with respect to the one obtained by CNLSE whilevarying the fiber birefringence correlation length, PMD coefficient and thefiber type. Our results highlight a potential discrepancy of 0.5 dB in theestimation of the Q^2 factor in one span Polarization Division MultiplexedQuadrature Phase Shift Keying (PDM-QPSK) transmission with optimal launch powerper channel and yield guidelines to choose the most suitable numericalestimation method.

Influence of Modeling Methods on the Estimation of the Nonlinear Noise  Statistics Considering Joint PMD and Kerr Effects in Fiber Transmission  Systems