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

2024/04/25 by Chen Shao, Shao, Chen, Elias Giacoumidis +11
Engineering · #Advanced Photonic Communication Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Optical Network Technologies #Photonic and Optical Devices #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2405.00720

openalex publication_date 2024/04/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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