108 citations · 363 across the 21 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Machine learning-based Raman amplifier design
D. Zibar, A. Ferrari, V. Curri +1
A multi-layer neural network is employed to learn the mapping between Raman gain profile and pump powers and wavelengths. The learned model predicts with high-accuracy, low-latency…