Advanced convolutional neural networks for nonlinearity mitigation in long-haul WDM transmission systems

O Sidelnikov, A Redyuk, S Sygletos… - Journal of Lightwave …, 2021 - ieeexplore.ieee.org
Practical implementation of digital signal processing for mitigation of transmission
impairments in optical communication systems requires reduction of the complexity of the …

A tutorial on fiber Kerr nonlinearity effect and its compensation in optical communication systems

SKO Soman - Journal of Optics, 2021 - iopscience.iop.org
The advent of silica-based low-cost standard single-mode fibers revolutionized the whole
communication industry. The deployment of optical fibers in the networks induces a …

Model-based machine learning for joint digital backpropagation and PMD compensation

RM Bütler, C Häger, HD Pfister, G Liga… - Journal of Lightwave …, 2020 - ieeexplore.ieee.org
In this article, we propose a model-based machine-learning approach for dual-polarization
systems by parameterizing the split-step Fourier method for the Manakov-PMD equation …

Multidimensional fiber echo state network analogue

M Sorokina - Journal of Physics: Photonics, 2020 - iopscience.iop.org
Optical neuoromorphic technologies enable neural network-based signal processing
through a specifically designed hardware and may confer advantages in speed and energy …

Nonlinear spectrum of conventional OFDM and WDM return-to-zero signals in nonlinear channel

S Turitsyn, E Sedov, A Redyuk… - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
The nonlinear Schrödinger equation (NLSE) is often used as a master path-average model
for fiber-optic links to analyze fundamental properties of such nonlinear communication …

Interchannel nonlinearity compensation using a perturbative machine learning technique

IA Kozulin, AA Redyuk - Optics Communications, 2021 - Elsevier
We propose an extension of the perturbation-based approach for fiber nonlinearity
compensation that is capable of mitigating both intra-and interchannel nonlinearity with a …

Deep learning approach for real-time video streaming traffic classification

M Al Jameel, S Turner, T Kanakis… - 2022 International …, 2022 - ieeexplore.ieee.org
Video streaming services such as Amazon Prime Video, Netflix and YouTube continue to be
of enormous demand in everyday peoples' lives. This enticed research into new …

Machine Learning Methods for Compensating Signal Distortions in Fiber-Optic Communication Lines

OS Sidelnikov, AA Redyuk, MP Fedoruk - … , Instrumentation and Data …, 2024 - Springer
The article addresses current issues in the field of fiber-optic data transmission, related to
the constant increase in demand for communication system bandwidth and nonlinear …

Parallel Digital Backpropagation in Fiber Optics Considering Four-Wave Mixing Terms

A Abolfathimomtaz, M Ardakani… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Digital backpropagation (DBP) is the most effective fiber optic compensation technique.
While DBP can increase the achievable data rate, its high computational complexity …

[PDF][PDF] Next Generation Long-Haul Optical Fibre Communications and Optical-Wireless Interfaces

J dos Santos Tavares - 2021 - repositorio-aberto.up.pt
With the exponential growth of capacity demand verified in the last few decades, the
nonlinear Shannon limit is rapidly being approached. It has been demonstrated that the limit …