FPGA Implementation of Deep Neural Network Based Equalizers for High-Speed PON

A fixed-point deep neural network-based equalizer is implemented in FPGA and is shown to outperform MLSE in receiver sensitivity for 50 Gb/s PON downstream link. Embedded parallelization is proposed and verified to reduce hardware resources.