Nonlinear SNR estimation based on the data augmentation-assisted DNN with a small-scale dataset
Fiber nonlinearity is one of the major impairments for long-haul transmission systems.
Therefore, estimating the nonlinear signal-to-noise ratio (SNR_NL) is indispensable to …
Therefore, estimating the nonlinear signal-to-noise ratio (SNR_NL) is indispensable to …
OSNR and nonlinear noise power estimation for optical fiber communication systems using LSTM based deep learning technique
Z Wang, A Yang, P Guo, P He - Optics express, 2018 - opg.optica.org
The optical signal-to-noise ratio (OSNR) and fiber nonlinearity are critical factors in
evaluating the performance of high-speed optical fiber communication systems. Recently …
evaluating the performance of high-speed optical fiber communication systems. Recently …
Neural network training framework for nonlinear signal-to-noise ratio estimation in heterogeneous optical networks
AS Kashi, JC Cartledge… - 2021 Optical Fiber …, 2021 - ieeexplore.ieee.org
A computationally efficient framework is presented for calculating features used for training
an ANN-based estimator of the nonlinear SNR in heterogeneous networks. Its efficacy is …
an ANN-based estimator of the nonlinear SNR in heterogeneous networks. Its efficacy is …
Accurate OSNR monitoring based on data-augmentation-assisted DNN with a small-scale dataset
Deep neural networks (DNNs) have been successfully applied for accurate optical signal-to-
noise ratio (OSNR) monitoring. However, the performance of OSNR monitoring substantially …
noise ratio (OSNR) monitoring. However, the performance of OSNR monitoring substantially …
Parallel Neural Network Structures for Signal-to-Noise Ratio Estimation in Optical Fiber Communication Systems
This paper proposes two novel neural network (NN) structures to estimate long-term steady
linear and nonlinear signal-to-noise ratio (SNR) components in optical fiber communication …
linear and nonlinear signal-to-noise ratio (SNR) components in optical fiber communication …
Joint estimation of linear and non-linear signal-to-noise ratio based on neural networks
Joint Estimation of Linear and Non-linear Signal-to-Noise Ratio based on Neural Networks
Page 1 M2F.4.pdf OFC 2018 © OSA 2018 Joint Estimation of Linear and Non-linear Signal-to-Noise …
Page 1 M2F.4.pdf OFC 2018 © OSA 2018 Joint Estimation of Linear and Non-linear Signal-to-Noise …
Efficient deep learning of nonlinear fiber-optic communications using a convolutional recurrent neural network
A Shahkarami, MI Yousefi… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
Nonlinear channel impairments are a major obstacle in fiber-optic communication systems.
To facilitate a higher data rate in these systems, the complexity of the underlying digital …
To facilitate a higher data rate in these systems, the complexity of the underlying digital …
[HTML][HTML] Joint fiber nonlinear noise estimation, OSNR estimation and modulation format identification based on asynchronous complex histograms and deep learning …
S Yang, L Yang, F Luo, B Li, X Wang, Y Du, D Liu - Sensors, 2021 - mdpi.com
In this paper, asynchronous complex histogram (ACH)-based multi-task artificial neural
networks (MT-ANNs), are proposed to realize modulation format identification (MFI), optical …
networks (MT-ANNs), are proposed to realize modulation format identification (MFI), optical …
Joint pmd tracking and nonlinearity compensation with deep neural networks
Overcoming fiber nonlinearity is one of the core challenges limiting the capacity of optical
fiber communication systems. Machine learning based solutions such as learned digital …
fiber communication systems. Machine learning based solutions such as learned digital …
A grey-box model for estimating nonlinear SNR in optical networks based on physics-guided neural networks
A Grey-box Model for Estimating Nonlinear SNR in Optical Networks Based on Physics-guided
Neural Networks Page 1 A Grey-box Model for Estimating Nonlinear SNR in Optical Networks …
Neural Networks Page 1 A Grey-box Model for Estimating Nonlinear SNR in Optical Networks …