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EGN model of non-linear fiber propagation

TLDR
This paper analyzes in detail the GN-model errors and derives a complete set of formulas accounting for all single, cross, and multi-channel effects that constitute the enhanced GN- model (EGN-model), which is found to be very good when assessing detailed span-by-span NLI accumulation and excellent when estimating realistic system maximum reach.
Abstract
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.

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Citations
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Journal ArticleDOI

Fiber-optic transmission and networking: the previous 20 and the next 20 years [Invited]

TL;DR: Focusing on the optical transport and switching layer, aspects of large-scale spatial multiplexing, massive opto-electronic arrays and holistic optics-electronics-DSP integration, as well as optical node architectures for switching and multiplexed of spatial and spectral superchannels are covered.
Journal ArticleDOI

On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel

TL;DR: In this paper, the effect of using a small number of input probability mass functions (PMFs) for a range of signal-to-noise ratios (SNRs), instead of optimizing the constellation shaping for each SNR, was investigated.
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An Optical Communication's Perspective on Machine Learning and Its Applications

TL;DR: The mathematical foundations of basic ML techniques from communication theory and signal processing perspectives are described, which in turn will shed light on the types of problems in optical communications and networking that naturally warrant ML use.
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Design of Low-Margin Optical Networks

TL;DR: Techniques that the network designer can use in order to increase the capacity of optical networks, extend their life, and decrease deployment cost (CAPEX) or total cost of ownership over their life duration are reviewed.
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Inter-Channel Nonlinear Interference Noise in WDM Systems: Modeling and Mitigation

TL;DR: In this paper, the authors review the modeling of inter-channel nonlinear interference noise (NLIN) in fiber-optic communication systems, focusing on the accurate extraction of the NLIN variance, the dependence on modulation format, the role of nonlinear phase-noise, and the existence of temporal correlations.
References
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Journal ArticleDOI

The GN Model of Non-Linear Propagation in Uncompensated Coherent Optical Systems

TL;DR: This paper is devoted to an in-depth discussion of the Gaussian Noise model which describes non-linear propagation in uncompensated coherent transmission systems and its implications as to system and networks design and optimization are discussed.
Journal ArticleDOI

The GN-Model of Fiber Non-Linear Propagation and its Applications

TL;DR: This paper tries to gather the recent results regarding the Gaussian-noise model definition, understanding, relations versus other models, validation, limitations, closed form solutions, approximations and, in general, its applications and implications in link analysis and optimization, also within a network environment.
Journal ArticleDOI

Modeling of the Impact of Nonlinear Propagation Effects in Uncompensated Optical Coherent Transmission Links

TL;DR: In this paper, perturbative models for the impact of nonlinear propagation in uncompensated links were proposed and analyzed for a set of formats including PM-BPSK, PM-QPSK and PM-8QAM.
Journal ArticleDOI

Properties of nonlinear noise in long, dispersion-uncompensated fiber links.

TL;DR: In this article, the authors study the properties of nonlinear interference noise (NLIN) in fiber-optic communications systems with large accumulated dispersion, and derive the true NLIN power and verify that the NLIN is not additive Gaussian, but rather it depends strongly on the data transmitted in the channel of interest.
Journal ArticleDOI

Properties of nonlinear noise in long, dispersion-uncompensated fiber links

TL;DR: The true NLIN power is derived and it is verified that the NLIN is not additive Gaussian, but rather it depends strongly on the data transmitted in the channel of interest.
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