A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON
arXiv:2405.00720
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.
3 pages, 6 figures, accepted by Optical Fiber Communications Conference and Exhibition 2024