108 citations · 363 across the 21 of their papers we have counts for
4 papers · 1 filter
Link and Network-wide Study of Incoherent GN/EGN Models
Farhad Arpanaei, M. Ranjbar Zefreh, Jose A. Hernandez +2
An unprecedented comparison of closed-form incoherent GN (InGN) models is presented with heterogeneous spans and partially loaded links in elastic optical networks. Results reveal…
Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers
Mehran Soltani, Francesco Da Ros, Andrea Carena +1
We experimentally validate a real-time machine learning framework, capable of controlling the pump power values of Raman amplifiers to shape the signal power evolution in two-dimen…
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…
Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers
Mehran Soltani, Francesco Da Ros, Andrea Carena +1
We experimentally validate a machine learning-enabled Raman amplification framework, capable of jointly shaping the signal power evolution in two domains: frequency and fiber dista…