research
∙
11/08/2022
Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End Learning
End-to-end learning has become a popular method to optimize a constellat...
share
research
∙
07/04/2022
Spectral Power Profile Optimization of Field-Deployed WDM Network by Remote Link Modeling
A digital twin model of a multi-node WDM network is obtained from a sing...
research
∙
01/27/2022
Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels
The optical fiber multiple-input multiple-output (MIMO) channel with int...
research
∙
09/11/2020
Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling
Cascades of a machine learning-based EDFA gain model trained on a single...
research
∙
09/11/2020
Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices
We report a neural-network based erbium-doped fiber amplifier (EDFA) gai...
research
∙
07/19/2019
End-to-end Learning for GMI Optimized Geometric Constellation Shape
Autoencoder-based geometric shaping is proposed that includes optimizing...
research
∙
10/01/2018
Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning
In this paper, an unsupervised machine learning method for geometric con...
research
∙
05/10/2018