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Rate Adaptive Geometric Constellation Shaping Using Autoencoders and Many-To-One Mapping

Rate Adaptive Geometric Constellation Shaping Using Autoencoders and Many-To-One Mapping

Authors :
Yankov, Metodi P.
Jovanovic, Ognjen
Zibar, Darko
Da Ros, Francesco
Publication Year :
2023

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2307.09897
Document Type :
Working Paper