Fundamentals of coherent optical fiber communications

K Kikuchi - Journal of lightwave technology, 2015 - ieeexplore.ieee.org
The recently developed digital coherent receiver enables us to employ a variety of spectrally
efficient modulation formats such as-ary phase-shift keying and quadrature-amplitude …

Digital signal processing for fiber nonlinearities

JC Cartledge, FP Guiomar, FR Kschischang, G Liga… - Optics express, 2017 - opg.optica.org
Digital signal processing for fiber nonlinearities [Invited] clickable element to expand a topic
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Digital signal processing for coherent transceivers employing multilevel formats

MS Faruk, SJ Savory - Journal of Lightwave Technology, 2017 - ieeexplore.ieee.org
Digital coherent transceivers have revolutionized optical fiber communications due to their
superior performance offered compared to intensity modulation and direct detection based …

A survey on fiber nonlinearity compensation for 400 Gb/s and beyond optical communication systems

A Amari, OA Dobre, R Venkatesan… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Optical communication systems represent the backbone of modern communication
networks. Since their deployment, different fiber technologies have been used to deal with …

Reducing computational complexity of neural networks in optical channel equalization: From concepts to implementation

PJ Freire, A Napoli, B Spinnler… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
This paper introduces a novel methodology for develo** low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …

Nonlinear interference mitigation: Methods and potential gain

R Dar, PJ Winzer - Journal of Lightwave Technology, 2017 - ieeexplore.ieee.org
We explore the potential benefits of digital nonlinearity compensation (NLC) techniques in
fully loaded coherent wavelength-division multiplexed (WDM) transmission systems. After …

Photonic neuromorphic technologies in optical communications

A Argyris - Nanophotonics, 2022 - degruyter.com
Abstract Machine learning (ML) and neuromorphic computing have been enforcing problem-
solving in many applications. Such approaches found fertile ground in optical …

Deep learning based digital backpropagation demonstrating SNR gain at low complexity in a 1200 km transmission link

BI Bitachon, A Ghazisaeidi, M Eppenberger… - Optics …, 2020 - opg.optica.org
A deep learning (DL) based digital backpropagation (DBP) method with a 1 dB SNR gain
over a conventional 1 step per span DBP is demonstrated in a 32 GBd 16QAM transmission …

Neural turbo equalization: Deep learning for fiber-optic nonlinearity compensation

T Koike-Akino, Y Wang, DS Millar… - Journal of Lightwave …, 2020 - ieeexplore.ieee.org
Recently, data-driven approaches motivated by modern deep learning have been applied to
optical communications in place of traditional model-based counterparts. The application of …

Simplified Volterra series nonlinear equalizer for polarization-multiplexed coherent optical systems

FP Guiomar, AN Pinto - Journal of lightwave technology, 2013 - ieeexplore.ieee.org
Starting from a previously proposed frequency-domain Volterra series nonlinear equalizer
(VSNE), whose complexity evolves as O (N 3), with N being the frequency-domain block …