Open AccessStatistical quantification of nonlinear interference noise components in coherent systems
Author(s) -
Gabriele Di Rosa,
Stefanos Dris,
André Richter
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.386579
Subject(s) - quadrature amplitude modulation , computer science , phase noise , qam , interference (communication) , transmission (telecommunications) , optics , nonlinear system , noise (video) , algorithm , modulation (music) , polarization mode dispersion , electronic engineering , gaussian , physics , telecommunications , bit error rate , optical fiber , acoustics , artificial intelligence , channel (broadcasting) , decoding methods , quantum mechanics , image (mathematics) , engineering
We present and validate a statistical method able to separate nonlinear interference noise (NLIN) into a residual Gaussian (ResN) and a phase noise (NLPN) component. We take into account the interaction of the NLIN with the receiver's DSP, mainly through carrier phase recovery (CPR), by considering the amount of correlation of the NLPN component. This allows obtaining in a straightforward way an accurate prediction of the achievable post-DSP transmission performance. We apply our method on simulated data in different scenarios. For this purpose: (i) several different quadrature amplitude modulation (QAM) and probabilistically shaped (PS) formats are investigated and (ii) simulations with standard single mode fiber (SSMF) and dispersion shifted fiber (DSF) are performed. In all these cases we validate the results provided by our method through comparison with ideal data-aided CPR and a more practical blind phase search (BPS) algorithm. The results obtained are finally compared with the predictions of existing theoretical models and the differences with our approach are pointed out.