no code implementations • 4 Jul 2022 • Rasmus T. Jones, Kyle R. H. Bottrill, Natsupa Taengnoi, Periklis Petropoulos, Metodi P. Yankov
A digital twin model of a multi-node WDM network is obtained from a single access point.
no code implementations • 11 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.
1 code implementation • 19 Jul 2019 • Rasmus T. Jones, Metodi P. Yankov, Darko Zibar
Autoencoder-based geometric shaping is proposed that includes optimizing bit mappings.
1 code implementation • 1 Oct 2018 • Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Benjamin J. Puttnam, Georg Rademacher, Ruben S. Luis, Darko Zibar
In this paper, an unsupervised machine learning method for geometric constellation shaping is investigated.
no code implementations • 10 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.