Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities
2018-05-10Unverified0· sign in to hype
Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Darko Zibar
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
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.