Deep learning methods for nonlinearity mitigation in coherent fiber-optic communication links

V Neskorniuk - 2022 - publications.aston.ac.uk
Nowadays, the demand for telecommunication services is rapidly growing. To meet this
everincreasing connectivity demand telecommunication industry needs to maintain the …

Revisiting efficient multi-step nonlinearity compensation with machine learning: An experimental demonstration

V Oliari, S Goossens, C Häger, G Liga… - Journal of Lightwave …, 2020 - opg.optica.org
Efficient nonlinearity compensation in fiber-optic communication systems is considered a
key element to go beyond the “capacity crunch”. One guiding principle for previous work on …

Field and lab experimental demonstration of nonlinear impairment compensation using neural networks

S Zhang, F Yaman, K Nakamura, T Inoue… - Nature …, 2019 - nature.com
Fiber nonlinearity is one of the major limitations to the achievable capacity in long distance
fiber optic transmission systems. Nonlinear impairments are determined by the signal …

Machine learning for fiber nonlinearity mitigation in long-haul coherent optical transmission systems

Y Liu, B Yang, T Xu - 2019 IEEE 11th International Conference …, 2019 - ieeexplore.ieee.org
Fiber nonlinearities from Kerr effect are considered as major constraints for enhancing the
transmission capacity in current optical transmission systems. Digital nonlinearity …

Revisiting multi-step nonlinearity compensation with machine learning

C Häger, HD Pfister, RM Bütler, G Liga… - 45th European …, 2019 - ieeexplore.ieee.org
For the efficient compensation of fiber nonlinearity, one of the guiding principles appears to
be: fewer steps are better and more efficient. We challenge this assumption and show that …

Signal design and machine learning assisted nonlinearity compensation for coherent optical fibre communication links

H Dzieciol - 2023 - discovery.ucl.ac.uk
This thesis investigates low-complexity digital signal processing (DSP) for signal design and
nonlinearity compensation strategies to improve the performance of single-mode optical …

Model-based machine learning techniques for fiber nonlinearity compensation

S Luo - 2022 - open.library.ubc.ca
The demand for faster high-volume data transmission over fiber optical long-haul links has
been ever-increasing. This has been driving the need for further enhancing the data rates …

Meta-DSP: A Meta-Learning Approach for Data-Driven Nonlinear Compensation in High-Speed Optical Fiber Systems

X Xiao, Z Zhou, B Dong, D Ma, L Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
Non-linear effects in long-haul, high-speed optical fiber systems significantly hinder channel
capacity. While the Digital Backward Propagation algorithm (DBP) with adaptive filter (ADF) …

Machine learning methods in coherent optical communication systems

RT Jones - 2019 - orbit.dtu.dk
The future demand for digital information will outpace the capabilities of current optical
communication systems, which are approaching their limits due to fiber intrinsic nonlinear …

Neural network-based fiber nonlinearity mitigation in high-speed coherent optical transmission systems

F Zhang, X Fang, X Chen - Optical Fiber Communication Conference, 2022 - opg.optica.org
In this paper, we review the recent progress of neural network-based Kerr nonlinearity
mitigation techniques in high-speed coherent optical fiber transmission systems. Current …