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

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

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Publication:6322371

arXiv1907.08535MaRDI QIDQ6322371

Author name not available (Why is that?)

Publication date: 19 July 2019

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.




Has companion code repository: https://github.com/Rassibassi/claude








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