Naive Bayesian-Based Augmented Spatial Modulation (ASM) for VLC Systems

Monette H. Khadr; Hany Elgala

doi:10.1364/SPPCOM.2021.SpTu2F.3

OSA Advanced Photonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper SpTu2F.3
•https://doi.org/10.1364/SPPCOM.2021.SpTu2F.3

Naive Bayesian-Based Augmented Spatial Modulation (ASM) for VLC Systems

Monette H. Khadr and Hany Elgala

Signal Processing in Photonic Communications 2021

Washington, DC United States
26–29 July 2021
ISBN: 978-1-943580-94-1

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DSP Applications for Optical-Wireless Transmission (SpTu2F)

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M. H. Khadr and H. Elgala, "Naive Bayesian-Based Augmented Spatial Modulation (ASM) for VLC Systems," in OSA Advanced Photonics Congress 2021, B. Yang, F. Leo, A. Tauke-Pedretti, S. Arafin, M. Clerici, L. Caspani, L. Busse, M. Kats, J. Fan, W. Ming (Steve) Lee, D. Caplan, N. Parsons, W. Freude, C. Tremblay, D. Hillerkuss, K. Igarashi, H. Elgala, N. Guerrero Gonzalez, R. "Patty" Stabile, K. Jaeger, R. Saive, H. Aziz, and H. Tan, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper SpTu2F.3.

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Abstract

A machine learning (ML) based receiver for augmented spatial modulation (ASM) is constructed using a Naive-Bayesian classifier. The proposed approach reduces the system’s complexity. Its performance is compared with other eminent ML techniques.

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