108 citations · 363 across the 21 of their papers we have counts for
22 papers
A comparison between black-, grey- and white-box modeling for the bidirectional Raman amplifier optimization
Metodi P. Yankov, Mehran Soltani, Andrea Carena +2
Designing and optimizing optical amplifiers to maximize system performance is becoming increasingly important as optical communication systems strive to increase throughput. Offlin…
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…
Spectral and spatial power evolution design with machine learning-enabled Raman amplification
Mehran Soltani, Francesco Da Ros, Andrea Carena +1
We present a machine learning (ML) framework for designing desired signal power profiles over the spectral and spatial domains in the fiber span. The proposed framework adjusts the…