Abstract

An orthogonal frequency division multiplexing (OFDM) based Autoencoder (AE) model for optical wireless communication (OWC) is implemented. Symbol-error performance demonstrates the viability of using neural networks (NNs) and deep learning (DL) techniques in OWC systems.

© 2019 The Author(s)

PDF Article
More Like This
Sequence Detector based Autoencoder for ACO-OFDM Optical Wireless Communication

Xin Liu, Zixian Wei, Alberto Pepe, Zhaoming Wang, and H. Y. Fu
M4A.228 Asia Communications and Photonics Conference (ACPC) 2020

Deep Learning Based Optical Camera Communications

Ian Walter, Monette H. Khadr, and Hany Elgala
SpTh3E.2 Signal Processing in Photonic Communications (SPPCom) 2019

A Novel Method to Mitigate LED Nonlinearity Distortions in Optical Wireless OFDM Systems

Raed Mesleh, Hany Elgala, and Thomas D.C. Little
JW2A.69 National Fiber Optic Engineers Conference (NFOEC) 2013

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription