Paper ID: 2112.05050

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

Vahid Aref, Mathieu Chagnon

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).

Submitted: Dec 9, 2021