TechRxiv

Deep Learning Based End-to-End Optical Wireless Communication Systems with Autoencoders

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posted on 2023-11-27, 13:58 authored by Hossein SafiHossein Safi, Iman Tavakkolnia, Harald Haas

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.

Funding

This work is a contribution by Project REASON, a UK Government funded project under the Future Open Networks Research Challenge (FONRC) sponsored by the Department of Science Innovation and Technology (DSIT).

History

Email Address of Submitting Author

hossein.safi@strath.ac.uk

ORCID of Submitting Author

https://orcid.org/0000-0002-5427-7780

Submitting Author's Institution

Strathclyde University

Submitting Author's Country

  • United Kingdom

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