Adaptive Bayesian neural networks nonlinear equalizer in a 300-Gbit/s PAM8 transmission for IM/DD OAM mode division multiplexing

S Zhou, X Liu, R Gao, Z Jiang, H Zhang, X Xin - Optics Letters, 2023 - opg.optica.org
The strong stochastic nonlinear impairment induced by random mode coupling appears to
be a long-standing performance-limiting problem in the orbital angular momentum (OAM) …

Fast adaptation of multi-task meta-learning for optical performance monitoring

Y Zhang, P Zhou, Y Liu, J Wang, C Li, Y Lu - Optics Express, 2023 - opg.optica.org
An algorithm is proposed for few-shot-learning (FSL) jointing modulation format identification
(MFI) and optical signal-to-noise ratio (OSNR) estimation. The constellation diagrams of six …

Nonlinear activation function-free artificial neural network enabled optical performance monitoring

Y Cheng, H Luo, M Xiang, Z Yan, C Yu… - IEEE …, 2023 - ieeexplore.ieee.org
Optical performance monitoring (OPM) by leveraging artificial neural network (ANN) has
become a promising data-driven solution for stability, reconfiguration, and efficient utilization …

Joint SNR and Rician K-Factor Estimation Using Multimodal Network over Mobile Fading Channels

K Tamura, S Kojima, PV Trinh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper proposes a novel joint signal-to-noise ratio (SNR) and Rician K-factor estimation
scheme based on supervised multimodal learning. In the case of using machine learning to …

Linear and Nonlinear SNR Estimation using Spectral and Temporal Correlations

V Bajaj, P Ramantanis, F Boitier… - … Conference on Optical …, 2024 - ieeexplore.ieee.org
We propose a method to estimate linear and nonlinear signal-to-noise ratio (SNR) by using
normalized correlations of symbol rate spaced frequencies [1] and amplitude correlation …