18 citations · 31 across the 4 of their papers we have counts for
10 papers
Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning
Uiara Celine de Moura, Ann Margareth Rosa Brusin, Andrea Carena +2
A machine learning framework predicting pump powers and noise figure profile for a target distributed Raman amplifier gain profile is experimentally demonstrated. We employ a singl…
Experimental characterization of Raman amplifier optimization through inverse system design
Uiara Celine de Moura, Francesco Da Ros, Ann Margareth Rosa Brusin +2
Optical communication systems are always evolving to support the need for ever-increasing transmission rates. This demand is supported by the growth in complexity of communication…
Multi-band programmable gain Raman amplifier
Uiara Celine de Moura, Md Asif Iqbal, Morteza Kamalian +7
Optical communication systems, operating in C-band, are reaching their theoretically achievable capacity limits. An attractive and economically viable solution to satisfy the futur…
A GN/EGN-Model Real-Time Closed-Form Formula Tested over 7,000 Virtual Links
Mahdi Ranjbar Zefreh, Andrea Carena, Fabrizio Forghieri +2
We derived a fully-closed-form GN-model formula and tested its accuracy of over 7,000 highly randomized Cband system scenarios. By further applying a correction that leverages the…
Experimental demonstration of arbitrary Raman gain-profile designs using machine learning
Uiara C. de Moura, Francesco Da Ros, A. Margareth Rosa Brusin +2
A machine learning framework for Raman amplifier design is experimentally tested. Performance in terms of maximum error over the gain profile is investigated for various fiber type…
High-Capacity and Rain-Resilient Free-Space Optics Link Enabled by Time-Adaptive Probabilistic Shaping
F. P. Guiomar, A. Lorences-Riesgo, D. Ranzal +6
Using time-adaptive probabilistic shaped 64QAM driven by a simple SNR prediction algorithm, we demonstrate 450 Gbps transmission over a 55-m free-space optics link with enhanced…