Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario

Industry 4.0 requires high-speed data exchange that includes fast, reliable, low-latency, and cost-effective data transmissions. As visible light communication (VLC) can provide reliable, low-latency, and secure connections that do not penetrate walls and are immune to electromagnetic interference;...

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Main Authors: Won-Jae Ryu, Jae-Woo Kim, Dong-Seong Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/23/9407
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author Won-Jae Ryu
Jae-Woo Kim
Dong-Seong Kim
author_facet Won-Jae Ryu
Jae-Woo Kim
Dong-Seong Kim
author_sort Won-Jae Ryu
collection DOAJ
description Industry 4.0 requires high-speed data exchange that includes fast, reliable, low-latency, and cost-effective data transmissions. 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. The non-orthogonal multiple access (NOMA) technique can achieve high spectral efficiency using the same frequency and time resources for multiple users. It means that smaller amounts of resources will be used compared with orthogonal multiple access (OMA). Therefore, handling multiple data transmissions with VLC-NOMA can be easier for factory automation than OMA. However, as the transmit power is split, the reliability is reduced. Therefore, this study proposed a deep neural network (DNN)-based power-allocation algorithm (DBPA) to improve the reliability of the system. Further, to schedule multiple nodes in VLC-NOMA system, a priority-based user-pairing (PBUP) scheme is proposed. 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.
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spelling doaj.art-aa14f4a2ca54490e89c1c58b7f50e2482023-11-24T12:13:45ZengMDPI AGSensors1424-82202022-12-012223940710.3390/s22239407Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation ScenarioWon-Jae Ryu0Jae-Woo Kim1Dong-Seong Kim2ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi 39177, Gyeongbuk, Republic of KoreaICT Convergence Research Center, Kumoh National Institute of Technology, Gumi 39177, Gyeongbuk, Republic of KoreaDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Gyeongbuk, Republic of KoreaIndustry 4.0 requires high-speed data exchange that includes fast, reliable, low-latency, and cost-effective data transmissions. 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. The non-orthogonal multiple access (NOMA) technique can achieve high spectral efficiency using the same frequency and time resources for multiple users. It means that smaller amounts of resources will be used compared with orthogonal multiple access (OMA). Therefore, handling multiple data transmissions with VLC-NOMA can be easier for factory automation than OMA. However, as the transmit power is split, the reliability is reduced. Therefore, this study proposed a deep neural network (DNN)-based power-allocation algorithm (DBPA) to improve the reliability of the system. Further, to schedule multiple nodes in VLC-NOMA system, a priority-based user-pairing (PBUP) scheme is proposed. 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.https://www.mdpi.com/1424-8220/22/23/9407visible light communication (VLC)non-orthogonal multiple access (NOMA)reliabilitypower allocationdeep neural network (DNN)user-pairing scheme
spellingShingle Won-Jae Ryu
Jae-Woo Kim
Dong-Seong Kim
Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario
Sensors
visible light communication (VLC)
non-orthogonal multiple access (NOMA)
reliability
power allocation
deep neural network (DNN)
user-pairing scheme
title Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario
title_full Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario
title_fullStr Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario
title_full_unstemmed Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario
title_short Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario
title_sort resource allocation in downlink vlc noma systems for factory automation scenario
topic visible light communication (VLC)
non-orthogonal multiple access (NOMA)
reliability
power allocation
deep neural network (DNN)
user-pairing scheme
url https://www.mdpi.com/1424-8220/22/23/9407
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