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A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON
A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON
Published: 2024
Buchtitel: Proceedings of the 2024 Optical Fiber Communication Conference and Exhibition (OFC'24)
Verlag: IEEE
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Kurzfassung
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.
Download: Media:SCINet_OFC2024.pdf
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