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Conferences > OFC > 2024 > W1H > W1H.1

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

Chen Shao, Elias Giacoumidis, Shi Li, Jialei Li, Michael Färber, Tobias Käfer, and André Richter

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Abstract

A frequency-calibrated SCINet (FC-SCINet) equalizer is proposed for downstream 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.

© 2024 The Author(s)

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