Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities

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. The learned constellation mitigates nonlinear effects with gains up to 0.13 bit/4D when trained with a simplified fiber channel model.

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