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.
@article{arxiv.1912.05146,
title = {Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model},
author = {Boris Karanov and Mathieu Chagnon and Vahid Aref and Domaniç Lavery and Polina Bayvel and Laurent Schmalen},
journal= {arXiv preprint arXiv:1912.05146},
year = {2019}
}