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International Conference on Machine Learning and Intelligent Communications

MLICOM 2020: Machine Learning and Intelligent Communications pp 228–234Cite as

An RGB-LED Driver with Feed-Forward Equalization Used for PAM-4 Visible Light Communication

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Abstract

This work proposed a red-green-blue LED (RGB LED) driver based on TSMC 40 nm CMOS process with current regulator structure to drive a 5X5 RGB LED array. By adopting 4-pulse amplitude modulation (PAM-4) scheme and feed-forward equalization (FFE), the simulated driving data rate for each driver can reach 100 Mb/s.

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References

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Acknowledgement

This work was supported in part by the Research and Development Program in Key Areas of Guangdong Province under Grant 2019B010116002.

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Authors and Affiliations

  1. HKUST-Qualcomm Optical Wireless Lab, ECE Department, The Hong Kong University of Science and Technology, Hong Kong SAR, China

    Bo Xu, Li Wang, Jian Kang & C. Patrick Yue

  2. School of Electronic Communication Technology, Shenzhen Institute of Information Technology, Shenzhen, Guangdong, China

    Cong Qiu

Authors
  1. Bo Xu
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  2. Li Wang
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  3. Jian Kang
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  4. Cong Qiu
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  5. C. Patrick Yue
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Corresponding author

Correspondence to Bo Xu .

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Editors and Affiliations

  1. Shenzhen Institute of Information Technology, Shenzhen, China

    Mingxiang Guan

  2. Sci & Tech, DianHang Bldg, Rm 321, Dalian Maritime Univ, Sch of Info, Dalian, Liaoning, China

    Zhenyu Na

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cite this paper

Xu, B., Wang, L., Kang, J., Qiu, C., Yue, C.P. (2021). An RGB-LED Driver with Feed-Forward Equalization Used for PAM-4 Visible Light Communication. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_26

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  • DOI: https://doi.org/10.1007/978-3-030-66785-6_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66784-9

  • Online ISBN: 978-3-030-66785-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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