Design and Implementation of Deep Learning for MIMO C-OOK Scheme-based Optical Camera Communication

Abstract

Internet of Things (IoT) systems, Vehicular system, and mobile communication systems are just a few examples of communication systems that frequently use radio frequency (RF)- based wireless communication technologies. Wireless communication has advantages over traditional wired communication systems due to its simple installation. However, employing high frequencies for wireless communication can pose serious health concerns to people. Several scientists have investigated this subject using visible light in communication systems as opposed to RF waves. Currently, three potential candidates are suitable: Visible Light Communication (VLC), Light Fidelity (LiFi), and Optical Camera Communication (OCC). Deep Learning, which is used to solve complicated issues, develop intelligent solutions, and take the place of human intellect as the driving force behind developing technologies like big data, smart factories, and the IoT, is also having an impact on the future of industry and individuals. In this paper, we propose Multiple-Input Multiple-Output Camera On-Off Keying scheme that makes use of deep learning for detecting and tracking while also taking mobility support and long-distance communication. The performance of this approach will be presented: communication range and low bit error rate.