2024/05/04 by Chen Shao, Shao, Chen, Elias Giacoumidis +15
Engineering · #Advanced Photonic Communication Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optical Network Technologies #Photonic and Optical Devices
paper · pdf · doi:10.48550/arxiv.2405.02609
openalex publication_date 2024/05/04 · openalex created_date 2024/05/08 · openalex updated_date 2026/07/28
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.