Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model

Abstract

We perform an experimental end-to-end transceiver optimization via deep learning using a generative adversarial network to approximate the test-bed channel. Previously, optimization was only possible through a prior assumption of an explicit simplified channel model.