Multiparameter Monitoring of PAM4 Signals Using Deep Learning

Si Ao Li; Yuanpeng Liu; Yiwen Zhang; Wenqian Zhao; Tongying Shi; Xiao Han; Ivan B. Djordjevic; Yongxiong Ren; Changjing Bao; Zhongqi Pan; Yang Yue

Multiparameter Monitoring of PAM4 Signals Using Deep Learning

Si Ao Li, Yuanpeng Liu, Yiwen Zhang, Wenqian Zhao, Tongying Shi, Xiao Han, Ivan B. Djordjevic, Yongxiong Ren, Changjing Bao, Zhongqi Pan, Yang Yue

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

Abstract

PAM4 signal performance monitoring is demonstrated using CNN-based deep learning. A 98.51% prediction accuracy is achieved for jointly monitoring multiple parameters including baud rate, probabilistic shaping, roll-off factor, optical signal-to-noise ratio, and chromatic dispersion.

Original language	English (US)
Title of host publication	2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781957171050
State	Published - 2022
Event	2022 Conference on Lasers and Electro-Optics, CLEO 2022 - San Jose, United States Duration: May 15 2022 → May 20 2022

Publication series

Name	2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings

Conference

Conference	2022 Conference on Lasers and Electro-Optics, CLEO 2022
Country/Territory	United States
City	San Jose
Period	5/15/22 → 5/20/22

ASJC Scopus subject areas

Instrumentation
Spectroscopy
Biomedical Engineering
Electrical and Electronic Engineering
Management, Monitoring, Policy and Law
Materials Science (miscellaneous)
Acoustics and Ultrasonics
Atomic and Molecular Physics, and Optics

Cite this

Li, S. A., Liu, Y., Zhang, Y., Zhao, W., Shi, T., Han, X., Djordjevic, I. B., Ren, Y., Bao, C., Pan, Z., & Yue, Y. (2022). Multiparameter Monitoring of PAM4 Signals Using Deep Learning. In 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings Article SW4E.3 (2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc..

Multiparameter Monitoring of PAM4 Signals Using Deep Learning. / Li, Si Ao; Liu, Yuanpeng; Zhang, Yiwen et al.
2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. SW4E.3 (2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings).

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

Li, SA, Liu, Y, Zhang, Y, Zhao, W, Shi, T, Han, X, Djordjevic, IB, Ren, Y, Bao, C, Pan, Z & Yue, Y 2022, Multiparameter Monitoring of PAM4 Signals Using Deep Learning. in 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings., SW4E.3, 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022 Conference on Lasers and Electro-Optics, CLEO 2022, San Jose, United States, 5/15/22.

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title = "Multiparameter Monitoring of PAM4 Signals Using Deep Learning",

abstract = "PAM4 signal performance monitoring is demonstrated using CNN-based deep learning. A 98.51% prediction accuracy is achieved for jointly monitoring multiple parameters including baud rate, probabilistic shaping, roll-off factor, optical signal-to-noise ratio, and chromatic dispersion.",

author = "Li, {Si Ao} and Yuanpeng Liu and Yiwen Zhang and Wenqian Zhao and Tongying Shi and Xiao Han and Djordjevic, {Ivan B.} and Yongxiong Ren and Changjing Bao and Zhongqi Pan and Yang Yue",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); 2022 Conference on Lasers and Electro-Optics, CLEO 2022 ; Conference date: 15-05-2022 Through 20-05-2022",

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language = "English (US)",

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T1 - Multiparameter Monitoring of PAM4 Signals Using Deep Learning

AU - Li, Si Ao

AU - Liu, Yuanpeng

AU - Zhang, Yiwen

AU - Zhao, Wenqian

AU - Shi, Tongying

AU - Han, Xiao

AU - Djordjevic, Ivan B.

AU - Ren, Yongxiong

AU - Bao, Changjing

AU - Pan, Zhongqi

AU - Yue, Yang

PY - 2022

Y1 - 2022

N2 - PAM4 signal performance monitoring is demonstrated using CNN-based deep learning. A 98.51% prediction accuracy is achieved for jointly monitoring multiple parameters including baud rate, probabilistic shaping, roll-off factor, optical signal-to-noise ratio, and chromatic dispersion.

AB - PAM4 signal performance monitoring is demonstrated using CNN-based deep learning. A 98.51% prediction accuracy is achieved for jointly monitoring multiple parameters including baud rate, probabilistic shaping, roll-off factor, optical signal-to-noise ratio, and chromatic dispersion.

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M3 - Conference contribution

AN - SCOPUS:85139956126

T3 - 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings

BT - 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 Conference on Lasers and Electro-Optics, CLEO 2022

Y2 - 15 May 2022 through 20 May 2022

ER -

Multiparameter Monitoring of PAM4 Signals Using Deep Learning

Abstract

Publication series

Conference

ASJC Scopus subject areas

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