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http://dx.doi.org/10.7236/JIIBC.2021.21.4.51

Performance Enhancement Technique of Visible Communication Systems based on Deep-Learning  

Seo, Sung-Il (Dept. of Electrical Engineering, Honam University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.21, no.4, 2021 , pp. 51-55 More about this Journal
Abstract
In this paper, we propose the deep learning based interference cancellation scheme algorithm for visible light communication (VLC) systems in smart building. The proposed scheme estimates the channel noise information by applying a deep learning model. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the VLC performance is effectively removed through interference cancellation technique. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance. Consequently, the proposed interference cancellation with deep learning improves the signal quality of VLC systems by effectively removing the channel noise. The results of the paper can be applied to VLC for smart building and general communication systems.
Keywords
Visible Light Communication; Smart Building; Interference Cancellation; Deep Learning; Channel Estimation;
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