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

2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)（2022）

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摘要

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). (C) 2022 The Author(s)

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关键词

joint geometric constellation shaping,probabilistic constellation shaping,autoencoder-based learning,coded-modulation systems,symbol-metric decoding,bit-metric decoding

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