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Found 7 papers, 0 papers with code
A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification
Based on the physical features of Raman amplification, we propose a three-step modelling scheme based on neural networks (NN) and linear regression.
Optical Field Recovery in Jones Space
For cost-sensitive short-reach optical networks, some advanced single-polarization (SP) optical field recovery schemes are recently proposed to avoid chromatic dispersion-induced power fading effect, and improve the spectral efficiency for larger potential capacity.
Physics-informed EDFA Gain Model Based on Active Learning
We propose a physics-informed EDFA gain model based on the active learning method.
An Interpretable Mapping from a Communication System to a Neural Network for Optimal Transceiver-Joint Equalization
In this paper, we propose a scheme that utilizes the optimization ability of artificial intelligence (AI) for optimal transceiver-joint equalization in compensating for the optical filtering impairments caused by wavelength selective switches (WSS).
Low Complexity Component Nonlinear Distortions Mitigation Scheme for Probabilistically Shaped 64-QAM Signals
We propose a degenerated hierarchical look-up table (DH-LUT) scheme to compensate component nonlinearities.
A Data-Fusion-Assisted Telemetry Layer for Autonomous Optical Networks
For further improving the capacity and reliability of optical networks, a closed-loop autonomous architecture is preferred.
Application of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks
In this paper, we present the application of machine learning (ML) in NLI modeling and monitoring.
