Deep Learning Based End-to-End Optical Wireless Communication Systems
with Autoencoders
Abstract
We integrate the differential signaling technique from OWC systems into
our work, suggesting a practical autoencoder-based architecture that
accommodates negative encoder output elements. This  capability affords
us a greater degree of freedom in shaping the signal constellation space
when compared to traditional AEs.