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

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Jul 19, 2019
Rasmus T. Jones, Metodi P. Yankov, Darko Zibar
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Autoencoder-based geometric shaping is proposed that includes optimizing bit mappings. Up to 0.2 bits/QAM symbol gain in GMI is achieved for a variety of data rates and in the presence of transceiver impairments. The gains can be harvested with standard binary FEC at no cost w.r.t. conventional BICM.

* submitted to ECOC 2019  
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