Rate Adaptive Autoencoder-based Geometric Constellation Shaping

Darko Zibar; Francesco Da Ros; Metodi P. Yankov; Ognjen Jovanovic

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arxiv 2301.01247 v1 pith:KGER3UKZ submitted 2022-11-28 eess.SP

Ognjen Jovanovic , Metodi P. Yankov , Francesco Da Ros , Darko Zibar This is my paper · ORCID

classification eess.SP

keywords constellationgeometricmappingsrateshapingachievingadaptiveadaptivity

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An autoencoder is used to optimize bit-to-symbol mappings for geometric constellation shaping. The mappings allow for net rate adaptivity without additional hardware complexity, while achieving up to 300km of transmission distance compared to uniform QAM.

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