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 …
Performance versus complexity study of neural network equalizers in coherent optical systems
We present the results of the comparative performance-versus-complexity analysis for the
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …
Combining nonlinear Fourier transform and neural network-based processing in optical communications
We propose a method to improve the performance of the nonlinear Fourier transform (NFT)-
based optical transmission system by applying the neural network post-processing of the …
based optical transmission system by applying the neural network post-processing of the …
Towards FPGA implementation of neural network-based nonlinearity mitigation equalizers in coherent optical transmission systems
PJ Freire, M Anderson, B Spinnler, T Bex… - 2022 European …, 2022 - ieeexplore.ieee.org
For the first time, recurrent and feedforward neural network-based equalizers for nonlinearity
compensation are implemented in an FPGA, with a level of complexity comparable to that of …
compensation are implemented in an FPGA, with a level of complexity comparable to that of …
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 …
Signal processing techniques for optical transmission based on eigenvalue communication
J Koch, K Chan, CG Schaeffer… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
A minimum mean squared error (MMSE) equalizer is a way to effectively increase
transmission performance for nonlinear Fourier transform (NFT) based communication …
transmission performance for nonlinear Fourier transform (NFT) based communication …
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 …
[HTML][HTML] Deep neural network equalization for optical short reach communication
Nonlinear distortion has always been a challenge for optical communication due to the
nonlinear transfer characteristics of the fiber itself. The next frontier for optical …
nonlinear transfer characteristics of the fiber itself. The next frontier for optical …
[HTML][HTML] Low-complexity pruned convolutional neural network based nonlinear equalizer in coherent optical communication systems
X Liu, C Li, Z Jiang, L Han - Electronics, 2023 - mdpi.com
Nonlinear impairments caused by devices and fiber transmission links in a coherent optical
communication system can severely limit its transmission distance and achievable capacity …
communication system can severely limit its transmission distance and achievable capacity …
Training data generation and validation for a neural network-based equalizer
The neural network (NN) has been widely used as a promising technique in fiber optical
communication owing to its powerful learning capabilities. The NN-based equalizer is …
communication owing to its powerful learning capabilities. The NN-based equalizer is …