Gaussian Mixture Model clustering algorithm for a probabilistic shaping 64QAM coherent optical communication system

Hui Xu, Yongjun Wang*, Chao Li, Xiangjun Xin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, a Gaussian Mixture Model (GMM) clustering algorithm with initial means is proposed. The experiment results show that the proposed algorithm can significantly improve the performance of probabilistic shaping (PS) 64QAM.

Original languageEnglish
Title of host publication2021 Asia Communications and Photonics Conference, ACP 2021 - Proceedings
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781957171005
Publication statusPublished - 2021
Externally publishedYes
Event2021 Asia Communications and Photonics Conference, ACP 2021 - Shanghai, China
Duration: 24 Oct 202127 Oct 2021

Publication series

NameAsia Communications and Photonics Conference, ACP
Volume2021-October
ISSN (Print)2162-108X

Conference

Conference2021 Asia Communications and Photonics Conference, ACP 2021
Country/TerritoryChina
CityShanghai
Period24/10/2127/10/21

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