150 citations · 875 across the 67 of their papers we have counts for
7 papers · 1 filter
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…
Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs
Ali Cem, Siqi Yan, Uiara Celine de Moura +3
We experimentally compare simple physics-based vs. data-driven neural-network-based models for offline training of programmable photonic chips using Mach-Zehnder interferometer mes…
End-to-end Learning of a Constellation Shape Robust to Channel Condition Uncertainties
Ognjen Jovanovic, Metodi P. Yankov, Francesco Da Ros +1
Vendor interoperability is one of the desired future characteristics of optical networks. This means that the transmission system needs to support a variety of hardware with differ…
SNR optimization of multi-span fiber optic communication systems employing EDFAs with non-flat gain and noise figure
Metodi Plamenov Yankov, Pawel Marcin Kaminski, Henrik Enggaard Hansen +1
Throughput optimization of optical communication systems is a key challenge for current optical networks. The use of gain-flattening filters (GFFs) simplifies the problem at the co…
Approaching the optimum phase measurement in the presence of amplifier noise
Darko Zibar, Jens E. Pedersen, Poul Varming +2
In fundamental papers from 1962 [1, 2], Heffener and Haus showed that it is not possible to construct a linear noiseless amplifier. The implies that the amplifier intrinsic noise s…
End-to-end Learning of a Constellation Shape Robust to Variations in SNR and Laser Linewidth
Ognjen Jovanovic, Metodi P. Yankov, Francesco Da Ros +1
We propose an autoencoder-based geometric shaping that learns a constellation robust to SNR and laser linewidth estimation errors. This constellation maintains shaping gain in mutu…
All-Optical Nonlinear Pre-Compensation of Long-Reach Unrepeatered Systems
Pawel M. Kaminski, Tiago Sutili, José Hélio da Cruz Júnior +9
We numerically demonstrate an all-optical nonlinearity pre-compensation module for state-of-the-art long-reach Raman-amplified unrepeatered links. The compensator design is optimiz…