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Found 10 papers, 0 papers with code
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.
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.
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.
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.
Physics-informed EDFA Gain Model Based on Active Learning
We propose a physics-informed EDFA gain model based on the active learning method.
Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme
The modeling of optical wave propagation in optical fiber is a task of fast and accurate solving the nonlinear Schr\"odinger equation (NLSE), and can enable the optical system design, digital signal processing verification and fast waveform calculation.
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.
Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network
In this work, a new data-driven fiber channel modeling method, generative adversarial network (GAN) is investigated to learn the distribution of fiber channel transfer function.
