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Conferences > OFC > 2022 > W4I > W4I.3

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

Vahid Aref and Mathieu Chagnon

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Abstract

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).

© 2022 The Author(s)

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