Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications

Abstract

In this work, we present a high-throughput field programmable gate array (FPGA) demonstrator of an artificial neural network (ANN)-based equalizer. The equalization is performed and illustrated in real-time for a 30 GBd, two-level pulse amplitude modulation (PAM2) optical communication system.

arXiv commentAccepted and to be presented as demonstrator at the IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2024