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

arXiv:2405.00720v1 Announce Type: cross
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.

abstract arxiv complexity cs.lg dnn eess.sp layer loss machine machine learning novel path type