Autoencoder Model for OFDM-based Optical Wireless Communication

Priti G. Pachpande; Monette H. Khadr; Hesham Hussien; Hany Elgala; Dola Saha

doi:10.1364/SPPCOM.2019.SpT2E.3

OSA Advanced Photonics Congress (AP) 2019 (IPR, Networks, NOMA, SPPCom, PVLED)
OSA Technical Digest (Optica Publishing Group, 2019),
paper SpT2E.3
•https://doi.org/10.1364/SPPCOM.2019.SpT2E.3

Autoencoder Model for OFDM-based Optical Wireless Communication

Priti G. Pachpande, Monette H. Khadr, Hesham Hussien, Hany Elgala, and Dola Saha

Signal Processing in Photonic Communications 2019

Burlingame, California United States
29 July–1 August 2019
ISBN: 978-1-943580-64-4

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Digital Signal Processing 1 (SpT2E)

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P. G. Pachpande, M. H. Khadr, H. Hussien, H. Elgala, and D. Saha, "Autoencoder Model for OFDM-based Optical Wireless Communication," in OSA Advanced Photonics Congress (AP) 2019 (IPR, Networks, NOMA, SPPCom, PVLED), OSA Technical Digest (Optica Publishing Group, 2019), paper SpT2E.3.

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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.

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Signal Processing in Photonic Communications 2019

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