• Corpus ID: 11696549

On the Accuracy of the GN-Model and on Analytical Correction Terms to Improve It

@article{Carena2014OnTA,
  title={On the Accuracy of the GN-Model and on Analytical Correction Terms to Improve It},
  author={Andrea Carena and Gabriella Bosco and Vittorio Curri and Y. Jiang and Pierluigi Poggiolini and Fabrizio Forghieri},
  journal={arXiv: Optics},
  year={2014}
}
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… 

Figures and Tables from this paper

A Simple and Effective Closed-Form GN Model Correction Formula Accounting for Signal Non-Gaussian Distribution

The GN model of nonlinear fiber propagation has been shown to overestimate the variance of nonlinearity due to the signal Gaussianity approximation, leading to maximum reach predictions for realistic

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

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.

Analytical Modeling of Nonlinear Fiber Propagation for Four Dimensional Symmetric Constellations

An analytical model is derived to quantify the impact of Kerr nonlinearity on such 4D spaces, taking the interpolarization dependency into account, and shows that the EGN model may inaccurately estimate the nonlinear interference of 4D formats.

Quality-of-Transmission Estimation in Physical Impairment Aware Flexible Optical Networks

The nonlinear interference of neighboring channels (interferer) during transmission on a channel under test is studied and the modulation format of the interferer, the accumulated chromatic dispersion, the span length and channel spacing are identified as the parameter influencing the generation of NLIN in the context of flexible optical networks.

A General Analytical Model of Nonlinear Fiber Propagation in the Presence of Kerr Nonlinearity and Stimulated Raman Scattering

A general model is introduced that accurately describes the effect of SRS on the NLI power over a wide range of scenarios, including low-cardinality modulation formats, and medium-to-low symbol-rate transmitted channels.

An Improved Model of Nonlinear Fiber Propagation in the Presence of Kerr Nonlinearity and Stimulated Raman Scattering.

A modulation-format-dependent model, accounting for an enhanced link function, valid for non-identical spans where the fiber span loss and SRS gain/loss are not necessarily compensated for by the amplifier at the end of each span is proposed.

Neural Network based Linear and Nonlinear Noise Estimation

This paper estimates the linear and nonlinear SNR from the received signal by obtaining features of two distinctive effects: nonlinear phase noise and second-order statistical moments and trains a small neural network to estimate the SNRs from the extracted features.

Extending Fibre Nonlinear Interference Power Modelling to Account for General Dual-Polarisation 4D Modulation Formats

A step-by-step mathematical derivation of the extension of existing NLI models to the class of arbitrary DP-4D modulation formats, which follows the one of the popular enhanced Gaussian noise model, albeit dropping most assumptions on the geometry and statistic of the transmitted 4D modulation format.

List-Encoding CCDM: A Nonlinearity-Tolerant Shaper Aided by Energy Dispersion Index

A new shaper architecture is proposed to decrease the EDI of transmitted symbols and thus, increase the signal-to-noise ratio (SNR) and this shaper the list-encoding constant-composition distribution matcher (L-CCDM).

Temporal Energy Analysis of Symbol Sequences for Fiber Nonlinear Interference Modelling via Energy Dispersion Index

The temporal energy behavior of symbol sequences is investigated, and a new metric called energy dispersion index (EDI) is introduced that captures the time-varying statistical properties of symbol energies.

References

SHOWING 1-10 OF 30 REFERENCES

Approximations for the Nonlinear Self-Channel Interference of Channels With Rectangular Spectra

  • S. Savory
  • Physics
    IEEE Photonics Technology Letters
  • 2013
The Gaussian noise (GN) model, in which the fiber nonlinearity is modeled as an additive GN process, has been recently shown in the literature to be accurate for uncompensated coherent systems.

A Simple and Effective Closed-Form GN Model Correction Formula Accounting for Signal Non-Gaussian Distribution

The GN model of nonlinear fiber propagation has been shown to overestimate the variance of nonlinearity due to the signal Gaussianity approximation, leading to maximum reach predictions for realistic

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

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.

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

We address perturbative models for the impact of nonlinear propagation in uncompensated links. We concentrate on a recently-proposed model which splits up the signal into spectral components and then

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

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.

An Alternative Approach to the Gaussian Noise Model and its System Implications

This paper presents an alternative derivation of the Gaussian noise (GN) model of the nonlinear interference (NLI) in strongly dispersive optical systems and provides an asymptotic expression of the NLI PSD which further speeds up the computation without losing significant accuracy.

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

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.

Accumulation of nonlinear interference noise in fiber-optic systems.

It is shown that all of the previously not understood discrepancies between the Gaussian noise model and simulations can be attributed to the omission of an important, recently reported, fourth-order noise (FON) term, that accounts for the statistical dependencies within the spectrum of the interfering channel.

GN-Model Validation Over Seven Fiber Types in Uncompensated PM-16QAM Nyquist-WDM Links

We report on a set of transmission experiments over seven different uncompensated fiber links carrying a 22-channel Nyquist-WDM signal comb based on polarization-multiplexed 16-quadrature amplitude

System Performance Prediction With the Gaussian Noise Model in 100G PDM-QPSK Coherent Optical Networks

We demonstrate that the transmission BER, OSNR penalty, and system margin can be accurately predicted for multiple fiber types using the back-to-back response together with the Gaussian Noise model