Rate Adaptive Geometric Constellation Shaping Using Autoencoders and Many-To-One Mapping
Metodi P. Yankov, Ognjen Jovanovic, Darko Zibar, Francesco Da Ros
TL;DR
This paper introduces a rate-adaptive geometric constellation shaping method using autoencoders to optimize constellation points and labelings with minimal rate step adjustments.
Contribution
It presents a novel many-to-one mapping scheme with autoencoder-based optimization for fixed modulation and FEC, enabling precise rate adaptation.
Findings
Effective rate adaptation with small step size
Optimized constellation points and labelings
Compatible with fixed modulation and FEC
Abstract
A many-to-one mapping geometric constellation shaping scheme is proposed with a fixed modulation format, fixed FEC engine and rate adaptation with an arbitrarily small step. An autoencoder is used to optimize the labelings and constellation points' positions.
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Taxonomy
TopicsOptical measurement and interference techniques · Manufacturing Process and Optimization · Advanced Vision and Imaging