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April 25, 2024 preprint Open access Aachen paper

A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON

arXiv (Cornell University)

DOI: 10.48550/arxiv.2405.00720 Full text (OA) OpenAlex

Abstract

A frequency-calibrated SCINet (FC-SCINet) equalizer is proposed for down-stream 100G PON with 28.7 dB path loss. At 5 km, FC-SCINet improves the BER by 88.87% compared to FFE and a 3-layer DNN with 10.57% lower complexity.

Authors 6

  1. Chen Shao

    Karlsruhe Institute of Technology

    Affiliation as printed

    Karlsruhe Institute of Technology (KIT) , Kaiserstr. 12 , 76131 Karlsruhe , Germany

  2. Elias Giacoumidis

    VPIphotonics (Germany)

    Affiliation as printed

    VPIphotonics GmbH , Hallerstr. 6 , 10587 Berlin , Germany

  3. Jialei Li Aachen

    RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University , Templergraben 57 , 52062 Aachen

  4. Michael Faerber
  5. Tobias Kaefer
  6. André Richter

    VPIphotonics (Germany)

    Affiliation as printed

    VPIphotonics GmbH , Hallerstr. 6 , 10587 Berlin , Germany

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