A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification
@article{Zhang2022AGL, title={A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification}, author={Yihao Zhang and Xiaomin Liu and Yichen Liu and Lilin Yi and Weisheng Hu and Qunbi Zhuge}, journal={ArXiv}, year={2022}, volume={abs/2206.12416} }
Based on the physical features of Raman amplification, we propose a three-step modelling scheme based on neural networks (NN) and linear regression. Higher accuracy, less data requirements and lower computational complexity are demonstrated through simulations compared with the pure NN-based method. ©2022 The Author(s)
7 References
Introducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers
- Computer ScienceJournal of Lightwave Technology
- 2020
A new NN model is introduced that can predict both gain and ASE noise profiles in Raman amplifiers with high accuracy under any load conditions and is shown to have higher accuracy when the line system is not fully loaded.
Highly Accurate Measurement-Based Gain Model for Constant-Pump EDFA for non-Flat WDM Inputs
- Computer Science2021 Optical Fiber Communications Conference and Exhibition (OFC)
- 2021
We develop a simple and accurate measurement-based model to predict the gain of wideband erbium-doped fiber amplifiers with a root mean square error of 0.05 dB, lower than state-of-the-art models…
Robust, compact, and flexible neural model for a fiber Raman amplifier
- EngineeringJournal of Lightwave Technology
- 2006
In this paper, a novel robust, compact, and flexible neural-network model for a fiber Raman amplifier (FRA) is presented. The model can be used in various applications with promising accuracy and low…
Merit of Raman Pumping in Uniform and Uncompensated Links Supporting NyWDM Transmission
- PhysicsJournal of Lightwave Technology
- 2016
We propose a method to quantitatively evaluate the improvement of the optical signal-to-nose ratio (OSNR) enabled by Raman pumping in hybrid Raman/erbium-doped fiber amplifiers (HFA) for…
Raman amplification for fiber communications systems
- ChemistryJournal of Lightwave Technology
- 2004
Raman amplification has enabled dramatic increases in the reach and capacity of lightwave systems. This tutorial explains why, starting with the fundamental properties of gain from stimulated Raman…
Machine Learning Techniques in Optical Communication
- PhysicsJournal of Lightwave Technology
- 2015
It is experimentally demonstrated that if the laser phase noise shape strongly deviates from the Lorentzian, phase noise tracking algorithms employing rate equation-based SSM result in a significant performance improvement compared to traditional approaches using digital phase-locked loop.
GNPy: an open source application for physical layer aware open optical networks
- PhysicsIEEE/OSA Journal of Optical Communications and Networking
- 2020
GNPy is validated by feeding it with data from the network controller and comparing the results to experimental measurements on mixed-fiber, Raman-amplified, multivendor scenarios over the full C-band, showing excellent accuracy in predicting both the optical signal-to-noise ratio and the generalized signal- to-no noise ratio (GSNR).