Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers

Zhen Qu, Shaoliang Zhang, Ivan B Djordjevic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

We propose universal distribution matchers applicable to any two-dimensional signal constellation. We experimentally demonstrate that the performance of 32-ary QAM, based on hybrid probabilistic-geometric shaping, is superior to probabilistically shaped 32QAM and regular 32QAM.

Original languageEnglish (US)
Title of host publication2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781943580385
StatePublished - Jun 13 2018
Event2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - San Diego, United States
Duration: Mar 11 2018Mar 15 2018

Other

Other2018 Optical Fiber Communications Conference and Exposition, OFC 2018
CountryUnited States
CitySan Diego
Period3/11/183/15/18

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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