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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MDPI AG
2022-12-01
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Series: | Sensors |
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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. |
first_indexed | 2024-03-09T17:32:08Z |
format | Article |
id | doaj.art-aa14f4a2ca54490e89c1c58b7f50e248 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T17:32:08Z |
publishDate | 2022-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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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