Compensation of fiber nonlinearities in digital coherent systems leveraging long short-term memory neural networks
We introduce for the first time the utilization of Long short-term memory (LSTM) neural
network architectures for the compensation of fiber nonlinearities in digital coherent systems …
network architectures for the compensation of fiber nonlinearities in digital coherent systems …
Performance and complexity analysis of bi-directional recurrent neural network models versus volterra nonlinear equalizers in digital coherent systems
S Deligiannidis, C Mesaritakis… - Journal of Lightwave …, 2021 - opg.optica.org
We investigate the complexity and performance of recurrent neural network (RNN) models
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
Ultralow complexity long short-term memory network for fiber nonlinearity mitigation in coherent optical communication systems
H Ming, X Chen, X Fang, L Zhang, C Li… - Journal of Lightwave …, 2022 - opg.optica.org
Fiber Kerr nonlinearity is a fundamental limitation to the achievable capacity of long-distance
optical fiber communication. Digital back-propagation (DBP) is a primary methodology to …
optical fiber communication. Digital back-propagation (DBP) is a primary methodology to …
Advanced convolutional neural networks for nonlinearity mitigation in long-haul WDM transmission systems
Practical implementation of digital signal processing for mitigation of transmission
impairments in optical communication systems requires reduction of the complexity of the …
impairments in optical communication systems requires reduction of the complexity of the …
Transfer learning for neural networks-based equalizers in coherent optical systems
In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …
used for impairments mitigation in optical transmission systems. We demonstrate that by …
Revisiting efficient multi-step nonlinearity compensation with machine learning: An experimental demonstration
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 …
key element to go beyond the “capacity crunch”. One guiding principle for previous work on …
Complex-valued neural network design for mitigation of signal distortions in optical links
Nonlinearity compensation is considered as a key enabler to increase channel transmission
rates in the installed optical communication systems. Recently, data-driven approaches …
rates in the installed optical communication systems. Recently, data-driven approaches …
Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
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 …
fiber optic transmission systems. Nonlinear impairments are determined by the signal …
Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems
We evaluate improvement in the performance of the optical transmission systems operating
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
A direct learning approach for neural network based pre-distortion for coherent nonlinear optical transmitter
High throughput coherent optical transmitters are key components in future optical
communication infrastructure. However, these transmitters are often distorted with the …
communication infrastructure. However, these transmitters are often distorted with the …