Improved CNN Equalizer for Coherent Optical Fiber Communications

Lu Han; Yongjun Wang; Chao Li; Xingyuan Huang; Qi Zhang; Heming Zhu; Qinghua Tian; Xiangjun Xin

doi:10.1109/OECC56963.2023.10209795

Improved CNN Equalizer for Coherent Optical Fiber Communications

Lu Han^*, Yongjun Wang^*, Chao Li, Xingyuan Huang, Qi Zhang, Heming Zhu, Qinghua Tian, Xiangjun Xin

^*Corresponding author for this work

Beijing University of Posts and Telecommunications

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

Abstract

We propose an improved CNN equalizer with large kernel designment. We achieve ∼ 1.58 dB Q-factor improvement for 120 Gb/s PDM 64-QAM transmission over 375 km transmission distance and ∼ 27% time complexity reduction.

Original language	English
Title of host publication	2023 Opto-Electronics and Communications Conference, OECC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665462136
DOIs	https://doi.org/10.1109/OECC56963.2023.10209795
Publication status	Published - 2023
Externally published	Yes
Event	2023 Opto-Electronics and Communications Conference, OECC 2023 - Shanghai, China Duration: 2 Jul 2023 → 6 Jul 2023

Publication series

Name	2023 Opto-Electronics and Communications Conference, OECC 2023

Conference

Conference	2023 Opto-Electronics and Communications Conference, OECC 2023
Country/Territory	China
City	Shanghai
Period	2/07/23 → 6/07/23

Keywords

Large kernel
channel equalization
complex reduction

Access to Document

10.1109/OECC56963.2023.10209795

Cite this

Han, L., Wang, Y., Li, C., Huang, X., Zhang, Q., Zhu, H., Tian, Q., & Xin, X. (2023). Improved CNN Equalizer for Coherent Optical Fiber Communications. In 2023 Opto-Electronics and Communications Conference, OECC 2023 (2023 Opto-Electronics and Communications Conference, OECC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OECC56963.2023.10209795

@inproceedings{c70c56f8d41e4e2e81461e8e08073f27,

title = "Improved CNN Equalizer for Coherent Optical Fiber Communications",

abstract = "We propose an improved CNN equalizer with large kernel designment. We achieve ∼ 1.58 dB Q-factor improvement for 120 Gb/s PDM 64-QAM transmission over 375 km transmission distance and ∼ 27% time complexity reduction.",

keywords = "Large kernel, channel equalization, complex reduction",

author = "Lu Han and Yongjun Wang and Chao Li and Xingyuan Huang and Qi Zhang and Heming Zhu and Qinghua Tian and Xiangjun Xin",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Opto-Electronics and Communications Conference, OECC 2023 ; Conference date: 02-07-2023 Through 06-07-2023",

year = "2023",

doi = "10.1109/OECC56963.2023.10209795",

language = "English",

series = "2023 Opto-Electronics and Communications Conference, OECC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 Opto-Electronics and Communications Conference, OECC 2023",

address = "United States",

}

Han, L, Wang, Y, Li, C, Huang, X, Zhang, Q, Zhu, H, Tian, Q & Xin, X 2023, Improved CNN Equalizer for Coherent Optical Fiber Communications. in 2023 Opto-Electronics and Communications Conference, OECC 2023. 2023 Opto-Electronics and Communications Conference, OECC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 Opto-Electronics and Communications Conference, OECC 2023, Shanghai, China, 2/07/23. https://doi.org/10.1109/OECC56963.2023.10209795

Improved CNN Equalizer for Coherent Optical Fiber Communications. / Han, Lu; Wang, Yongjun; Li, Chao et al.
2023 Opto-Electronics and Communications Conference, OECC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 Opto-Electronics and Communications Conference, OECC 2023).

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

TY - GEN

T1 - Improved CNN Equalizer for Coherent Optical Fiber Communications

AU - Han, Lu

AU - Wang, Yongjun

AU - Li, Chao

AU - Huang, Xingyuan

AU - Zhang, Qi

AU - Zhu, Heming

AU - Tian, Qinghua

AU - Xin, Xiangjun

PY - 2023

Y1 - 2023

N2 - We propose an improved CNN equalizer with large kernel designment. We achieve ∼ 1.58 dB Q-factor improvement for 120 Gb/s PDM 64-QAM transmission over 375 km transmission distance and ∼ 27% time complexity reduction.

AB - We propose an improved CNN equalizer with large kernel designment. We achieve ∼ 1.58 dB Q-factor improvement for 120 Gb/s PDM 64-QAM transmission over 375 km transmission distance and ∼ 27% time complexity reduction.

KW - Large kernel

KW - channel equalization

KW - complex reduction

UR - http://www.scopus.com/inward/record.url?scp=85170265131&partnerID=8YFLogxK

U2 - 10.1109/OECC56963.2023.10209795

DO - 10.1109/OECC56963.2023.10209795

M3 - Conference contribution

AN - SCOPUS:85170265131

T3 - 2023 Opto-Electronics and Communications Conference, OECC 2023

BT - 2023 Opto-Electronics and Communications Conference, OECC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 Opto-Electronics and Communications Conference, OECC 2023

Y2 - 2 July 2023 through 6 July 2023

ER -

Improved CNN Equalizer for Coherent Optical Fiber Communications

Abstract

Publication series

Conference

Keywords

Access to Document

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