The proposed techniques in VLC-NOMA system were evaluated in terms of the factory automation scenario and showed that it improves reliability and reduces missed deadlines. Further, to schedule multiple nodes in VLC-NOMA system, a priority-based user-pairing (PBUP) scheme is proposed. Therefore, this study proposed a deep neural network (DNN)-based power-allocation algorithm (DBPA) to improve the reliability of the system. However, as the transmit power is split, the reliability is reduced. Therefore, handling multiple data transmissions with VLC-NOMA can be easier for factory automation than OMA. It means that smaller amounts of resources will be used compared with orthogonal multiple access (OMA). The non-orthogonal multiple access (NOMA) technique can achieve high spectral efficiency using the same frequency and time resources for multiple users. As visible light communication (VLC) can provide reliable, low-latency, and secure connections that do not penetrate walls and are immune to electromagnetic interference it can be considered a solution for Industry 4.0.
Authors Ryu, Won-Jae Kim, Jae-Woo Kim, Dong-Seong Issue Date Dec-2022 Publisher MDPI Keywords visible light communication (VLC) non-orthogonal multiple access (NOMA) reliability power allocation deep neural network (DNN) user-pairing scheme factory automation Citation SENSORS, v.22, no.23 Journal Title SENSORS Volume 22 Number 23 URI DOI 10.3390/s22239407 ISSN 1424-8220 Abstract Industry 4.0 requires high-speed data exchange that includes fast, reliable, low-latency, and cost-effective data transmissions.
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