End-to-End Learning of Joint Geometric and Probabilistic Constellation Shaping

12/09/2021

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by   Vahid Aref, et al.

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We present a novel autoencoder-based learning of joint geometric and probabilistic constellation shaping for coded-modulation systems. It can maximize either the mutual information (for symbol-metric decoding) or the generalized mutual information (for bit-metric decoding).