Rate Adaptive Autoencoder-based Geometric Constellation Shaping

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

43 Downloads (Orbit)

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.
Original languageEnglish
Title of host publicationProceedings of 2023 Conference on Lasers and Electro-Optics/Europe
Number of pages2
PublisherOptica Publishing Group
Publication date2023
Article numberPaper SF1F.2
ISBN (Print)978-1-957171-25-8
DOIs
Publication statusPublished - 2023
Event2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference - Munich, Germany, Munich, Germany
Duration: 26 Jun 202330 Jun 2023

Conference

Conference2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference
LocationMunich, Germany
Country/TerritoryGermany
CityMunich
Period26/06/202330/06/2023

Fingerprint

Dive into the research topics of 'Rate Adaptive Autoencoder-based Geometric Constellation Shaping'. Together they form a unique fingerprint.

Cite this