Properties of nonlinear noise in long, dispersion-uncompensated fiber links
By Ronen Dar, Meir Feder, Antonio Mecozzi, Mark Shtaif. Optics Express, 2013
379 citations recorded by the source corpus.
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 between the results of the Gaussian noise (GN) model (according to which NLIN is additive Gaussian) and a recently published time-domain analysis, which attributes drastically different properties to the NLIN. Upon reviewing the two approaches we identify several unjustified assumptions that are key in the derivation of the GN model, and that are responsible for the discrepancy. We 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. In addition we validate the time-domain model numerically and demonstrate the strong dependence of the NLIN on the interfering channels' modulation format.
Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/47c01ba9666f2be5dec52d0e78ca2afa69362703
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
- Pierluigi Poggiolini
- Pontus Johannisson
- Peter J. Winzer
- Erik Agrell
- Mark Shtaif
- Meir Feder
- Ronen Dar
- Antonio Mecozzi
In Electrical and Electronic Engineering
- Pierluigi Poggiolini
- Peter J. Winzer
- Pontus Johannisson
- Erik Agrell
- Antonio Mecozzi
- Mark Shtaif
- Vittorio Curri
- Fabrizio Forghieri
Citations in the corpus
- On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel (2016, methodology): “As a consequence, refined GN models have been presented in [27], [38] that now include properties of the channel input in the modeling of σ(2) NLI, resulting in a more accurate representation of modulation-dependent nonlinear effects.”
- The Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering (2017, background): “However, as a result it fails to predict certain properties of nonlinear interference such as modulation format dependence [17]–[19], symbol rate dependence [25]–[29], nonlinear phase noise [19], [30], long temporal correlations [18], [19] and the dependence on the memory length of the fiber-optic c”
- Probabilistic Constellation Shaping for Optical Fiber Communications (2019, background): “Nevertheless, the combination of GCS and PCS to combat channel nonlinearities [31], [32] is not yet a completely resolved problem.”
- The GN-Model of Fiber Non-Linear Propagation and its Applications (2014, background): “Later on, [50]–[51] have appeared, where the errors due to the GN-model assumptions are also dealt with.”
- Inter-Channel Nonlinear Interference Noise in WDM Systems: Modeling and Mitigation (2015, methodology): “, QPSK), the phase-noise experienced by the channel of interest has been demonstrated [8], [14] to be much smaller than it is when the amplitude of the interfering channel is modulated as well.”
- Modeling of Nonlinear Signal Distortion in Fiber-Optic Networks (2013, background): “dependence on the choice of modulation format [13], [19].”
- Modeling of Nonlinear Propagation in Space-Division Multiplexed Fiber-Optic Transmission (2016, neutral): “VI. INTER-CHANNEL NONLINEAR INTERFERENCE NOISE IN STRONGLY COUPLED MODE GROUPS The study of the capacity of nonlinear fiber optic systems is a fervid and very challenging field of research even in the case of standard single-mode transmission [47].”