Search Results for author: Rasmus T. Jones

Found 5 papers, 2 papers with code

End-to-end optimization of coherent optical communications over the split-step Fourier method guided by the nonlinear Fourier transform theory

no code implementations11 Sep 2020 Simone Gaiarin, Francesco Da Ros, Rasmus T. Jones, Darko Zibar

In this first numerical analysis, the detection is performed by a neural network (NN), whereas the symbol-to-waveform mapping is aided by the nonlinear Fourier transform (NFT) theory in order to simplify and guide the optimization on the modulation side.

End-to-end Learning for GMI Optimized Geometric Constellation Shape

1 code implementation19 Jul 2019 Rasmus T. Jones, Metodi P. Yankov, Darko Zibar

Autoencoder-based geometric shaping is proposed that includes optimizing bit mappings.

Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities

no code implementations10 May 2018 Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Darko Zibar

A new geometric shaping method is proposed, leveraging unsupervised machine learning to optimize the constellation design.

BIG-bench Machine Learning

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