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

Zhen Qu; Shaoliang Zhang; Ivan B Djordjevic

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 proceeding › Conference contribution

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 language	English (US)
Title of host publication	2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-3
Number of pages	3
ISBN (Electronic)	9781943580385
State	Published - Jun 13 2018
Event	2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - San Diego, United States Duration: Mar 11 2018 → Mar 15 2018

Publication series

Name	2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings

Other

Other	2018 Optical Fiber Communications Conference and Exposition, OFC 2018
Country/Territory	United States
City	San Diego
Period	3/11/18 → 3/15/18

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

Cite this

Qu, Z., Zhang, S., & Djordjevic, I. B. (2018). Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers. In 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings (pp. 1-3). (2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc..

Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers. / Qu, Zhen; Zhang, Shaoliang; Djordjevic, Ivan B.
2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-3 (2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qu, Z, Zhang, S & Djordjevic, IB 2018, Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers. in 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings. 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1-3, 2018 Optical Fiber Communications Conference and Exposition, OFC 2018, San Diego, United States, 3/11/18.

Qu Z, Zhang S, Djordjevic IB. Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers. In 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-3. (2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings).

Qu, Zhen ; Zhang, Shaoliang ; Djordjevic, Ivan B. / Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers. 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-3 (2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings).

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title = "Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers",

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.",

author = "Zhen Qu and Shaoliang Zhang and Djordjevic, \{Ivan B\}",

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AB - 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.

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M3 - Conference contribution

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BT - 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings

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ER -

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

Abstract

Publication series

Other

ASJC Scopus subject areas

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Cite this