3.3SPApr 25, 2024
A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PONChen Shao, Elias Giacoumidis, Shi Li et al.
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.
4.6LGMay 4, 2024
Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based NetworkChen Shao, Elias Giacoumidis, Patrick Matalla et al.
We experimentally demonstrate a novel, low-complexity Fourier Convolution-based Network (FConvNet) based equalizer for 112 Gb/s upstream PAM4-PON. At a BER of 0.005, FConvNet enhances the receiver sensitivity by 2 and 1 dB compared to a 51-tap Sato equalizer and benchmark machine learning algorithms respectively.