Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEO_SI > 2023 > SF1F > SF1F.2

Rate Adaptive Autoencoder-based Geometric Constellation Shaping

Ognjen Jovanovic, Metodi P. Yankov, Francesco Da Ros, and Darko Zibar

Not Accessible

Your library or personal account may give you access

Abstract

An autoencoder is used to optimize bit-to-symbol mappings for geometric constellation shaping. The mappings allow for net rate adaptivity without additional hardware complexity, while achieving up to 300km of transmission distance compared to uniform QAM.

© 2023 The Author(s)

PDF Article
More Like This
Rate-Adaptive Coded Modulation with Geometrically-shaped Constellations

Bin Chen, Yi Lei, Domaniç Lavery, Chigo Okonkwo, and Alex Alvarado
S3K.5 Asia Communications and Photonics Conference (ACP) 2018

Autoencoder-Optimized Geometric Constellation Shaping for Unamplified Coherent Optical Links

B. M. Oliveira, M. S. Neves, F. P. Guiomar, M. C. R. Medeiros, and P. P. Monteiro
SW4E.7 CLEO: Science and Innovations (CLEO:S&I) 2022

Adaptive Geometric Constellation Shaping in a Transmission System with a Real-time Optimisation Loop

Mindaugas Jarmolovičius, Anastasiia Vasylchenkova, and Eric Sillekens
M3Z.1 Optical Fiber Communication Conference (OFC) 2023

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use