EGN model of non-linear fiber propagation.

By Andrea Carena, Gabriella Bosco, Vittorio Curri, Yanchao Jiang, Pierluigi Poggiolini, Fabrizio Forghieri. Optics Express, 2014

443 citations recorded by the source corpus.

The GN-model has been proposed as an approximate but sufficiently accurate tool for predicting uncompensated optical coherent transmission system performance, in realistic scenarios. For this specific use, the GN-model has enjoyed substantial validation, both simulative and experimental. Recently, however, it has been pointed out that its predictions, when used to obtain a detailed picture of non-linear interference (NLI) noise accumulation along a link, may be affected by a substantial NLI overestimation error, especially in the first spans of the link. In this paper we analyze in detail the GN-model errors. We discuss recently proposed formulas for correcting such errors and show that they neglect several contributions to NLI, so that they may substantially underestimate NLI in specific situations, especially over low-dispersion fibers. We derive a complete set of formulas accounting for all single, cross, and multi-channel effects, This set constitutes what we have called the enhanced GN-model (EGN-model). We extensively validate the EGN model by comparison with accurate simulations in several different system scenarios. The overall EGN model accuracy is found to be very good when assessing detailed span-by-span NLI accumulation and excellent when estimating realistic system maximum reach. The computational complexity vs. accuracy trade-offs of the various versions of the GN and EGN models are extensively discussed.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e0b1773c27740cc35fa92729310821ffefa0573f

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In Electrical and Electronic Engineering

Citations in the corpus

Inter-Channel Nonlinear Interference Noise in WDM Systems: Modeling and Mitigation (2015, methodology): “• Distinct phase-noise-like nature • Mostly complex circular noise • The complete model [8], [18] is needed for the accurate estimation of NLIN variance • The simple GN model provides sufficiently accurate predictions for NLIN variance”
Modeling of Nonlinear Signal Distortion in Fiber-Optic Networks (2013, methodology): “, by using a more accurate model [13] and/or more accurate approximations.”
On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel (2016, unknown): “As a consequence, refined GN models have been presented in [27], [38] that now include properties of the channel input in the modeling of σ2 NLI, resulting in a more accurate representation of modulation-dependent nonlinear effects.”