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Found 11 papers, 0 papers with code
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.
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.
Physics-informed EDFA Gain Model Based on Active Learning
We propose a physics-informed EDFA gain model based on the active learning method.
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.
Multicarrier Modulation-Based Digital Radio-over-Fibre System Achieving Unequal Bit Protection with Over 10 dB SNR Gain
We propose a multicarrier modulation-based digital radio-over-fibre system achieving unequal bit protection by bit and power allocation for subcarriers.
Building a digital twin of EDFA: a grey-box modeling approach
To enable intelligent and self-driving optical networks, high-accuracy physical layer models are required.
Dual-Tap Optical-Digital Feedforward Equalization Enabling High-Speed Optical Transmission in IM/DD Systems
Intensity-modulation and direct-detection (IM/DD) transmission is widely adopted for high-speed optical transmission scenarios due to its cost-effectiveness and simplicity.
Heuristic Optimization of Amplifier Reconfiguration Process for Autonomous Driving Optical Networks
We propose a heuristic-based optimization scheme for reliable optical amplifier reconfiguration process in ADON.
