70 citations · 305 across the 27 of their papers we have counts for
5 papers · 1 filter
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…
Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems
Edson Porto da Silva, Metodi Plamenov Yankov
In this paper, the performance of adaptive turbo equalization for nonlinearity compensation (NLC) is investigated. A turbo equalization scheme is proposed where a recursive least-s…
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…
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…