Several approximate non-linear fiber propagation models have been proposed over the
years. Recent re-consideration and extension of earlier modeling efforts has led to the …

This paper is devoted to an in-depth discussion of the Gaussian Noise (GN) model which
describes non-linear propagation in uncompensated coherent transmission systems. Similar …

The GN-model has been proposed as an approximate but sufficiently accurate tool for
predicting uncompensated optical coherent transmission system performance, in realistic …

We study the properties of nonlinear interference noise (NLIN) in fiber-optic communications
systems with large accumulated dispersion. Our focus is on settling the discrepancy …

To effectively operate multivendor disaggregated networks, the performance of the physical
layer needs to be assessed by a quality-of transmission estimator (QoT-E) delivering quick …

A Gaussian noise (GN) model, precisely accounting for an arbitrary frequency dependent
signal power profile along the link, is presented. This allows accurate evaluation of the …

In this paper, we propose to lower the network design margins by improving the estimation
of the signal-to-noise ratio (SNR) given by a quality of transmission (QoT) estimator, for new …

To support the development of intelligent optical networks, accurate modeling of the physical
layer is crucial. Digital twin (DT) modeling, which relies on continuous learning with real-time …

The impact of interchannel stimulated Raman scattering (SRS) on optimization of channel
powers to maximize the minimum channel margin is examined using a discrete Gaussian …

A low-complexity model for signal quality prediction in a nonlinear fiber-optic network is
developed. The model, which builds on the Gaussian noise model, takes into account the …