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End-to-end Learning for GMI Optimized Geometric Constellation Shape
July 19, 2019 Β· Declared Dead Β· π European Conference on Optical Communication
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Rasmus T. Jones, Metodi P. Yankov, Darko Zibar
arXiv ID
1907.08535
Category
cs.IT: Information Theory
Cross-listed
eess.SP,
stat.ML
Citations
61
Venue
European Conference on Optical Communication
Last Checked
5 months ago
Abstract
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.
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