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10 items by relevance
1 Conference paper

Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities

Jones, Rasmus Thomas; Eriksson, Tobias A.; Yankov, Metodi Plamenov; Zibar, Darko

Proceedings of the 44rd European Conference and Exhibition on Optical Communications (ecoc 2018) — 2018, pp. 1-3

A new geometric shaping method is proposed, leveraging unsupervised machinelearning to optimize the constellation design. The learned constellationmitigates nonlinear effects with gains up to 0.13 bit/4D when trained with asimplified fiber channel model.

Year: 2018

Language: English

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2 Preprint article

Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities

Jones, Rasmus T.; Eriksson, Tobias A.; Yankov, Metodi P.; Zibar, Darko

A new geometric shaping method is proposed, leveraging unsupervised machine learning to optimize the constellation design. The learned constellation mitigates nonlinear effects with gains up to 0.13 bit/4D when trained with a simplified fiber channel model.

Year: 2018

Language: Undetermined

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jmnlfdcga ieko pbh

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