70 citations · 305 across the 27 of their papers we have counts for
4 papers · 1 filter
Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End Learning
Ognjen Jovanovic, Francesco Da Ros, Darko Zibar +1
End-to-end learning has become a popular method to optimize a constellation shape of a communication system. When the channel model is differentiable, end-to-end learning can be ap…
Spectral Power Profile Optimization of Field-Deployed WDM Network by Remote Link Modeling
Rasmus T. Jones, Kyle R. H. Bottrill, Natsupa Taengnoi +2
A digital twin model of a multi-node WDM network is obtained from a single access point. The model is used to predict and optimize the transmit power profile for each link in the n…
Flexible Raman Amplifier Optimization Based on Machine Learning-aided Physical Stimulated Raman Scattering Model
Metodi Plamenov Yankov, Francesco Da Ros, Uiara Celine de Moura +2
The problem of Raman amplifier optimization is studied. A differentiable interpolation function is obtained for the Raman gain coefficient using machine learning (ML), which allows…
Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels
Metodi P. Yankov, Francesco Da Ros, Søren Forchhammer +1
The optical fiber multiple-input multiple-output (MIMO) channel with intensity modulation and direct detection (IM/DD) per spatial path is treated. The spatial dimensions represent…