Development of MIMO Scheme-based Optical Camera Communication System using Deep Learning method

The Internet of Things (IoT), satellite communication, and other communication systems that utilize radio frequency waveforms frequently use modern wireless communication technologies. Wireless communication provides benefits over conventional communication due to its simple installation. One of the...

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Bibliographic Details
Main Authors: Nguyen, Van Linh, Tran, Duc Hoang, Nguyen, Huy, Chung, ByungDeok, Jang, Yeong Min
Format: Conference Proceeding
Language:English
Subjects:
Adaptive optics
Cameras
Deep learning
Integrated optics
Internet of Things
Light emitting diodes
multiple-input multiple-output
optical camera communication
Wireless communication
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Summary:The Internet of Things (IoT), satellite communication, and other communication systems that utilize radio frequency waveforms frequently use modern wireless communication technologies. Wireless communication provides benefits over conventional communication due to its simple installation. One of the most well-known of them is Optical Camera Communication (OCC) technology, which has several advantages, including no negative effects on human health, good security, and inexpensive operating expenses. In this paper, we offer a multiple-input multiple-output modulation method that uses deep learning (DL) to recognize light-emitting diodes and predict thresholds while considering mobility assistance and long-distance communication into considerations. Our suggested strategy employs DL algorithms to enhance the performance of the traditional camera on-off keying (C-OOK) scheme by reducing bit error rate, communication distance., and data rate.
ISSN:2831-6983
DOI:10.1109/ICAIIC57133.2023.10067044