Optics-Informed Fully Convolutional Networks for Enhanced Channel Equalization in High-Speed VCSEL-Based Optical Interconnects

This paper proposes an optics-informed fully convo-lutional network equalizer for high-speed VCSEL-based optical interconnects. The proposed method demonstrates significant performance improvements across different transmission rates and received optical powers.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10809384
Citations
2
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
Field-Weighted Citation Impact
0.42
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article

Optics-Informed Fully Convolutional Networks for Enhanced Channel Equalization in High-Speed VCSEL-Based Optical Interconnects

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2 citations
Semiconductor Lasers and Optical Devices
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article

Optics-Informed Fully Convolutional Networks for Enhanced Channel Equalization in High-Speed VCSEL-Based Optical Interconnects

Zhaopeng Xu, Chuanchuan Yang, Hao Qin, Jianwei Tang, Yuping Zhao, Yuting Xu
article en
2 citations

Abstract

This paper proposes an optics-informed fully convo-lutional network equalizer for high-speed VCSEL-based optical interconnects. The proposed method demonstrates significant performance improvements across different transmission rates and received optical powers.

Peking University (CN), Peking University Shenzhen Hospital (CN), Peng Cheng Laboratory (CN)
Affordable and clean energy
Openalex Percentile: Top 36%
Semiconductor Lasers and Optical Devices
0.42
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