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

Rate Adaptive Autoencoder-based Geometric Constellation Shaping

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

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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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