Affiliation:
1. Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan
2. Graduate Institute of Intelligent Manufacturing Technology, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan
3. Wireless Communication Laboratory, Telecommunication Laboratory of Chunghwa Telecom, Taipei City 106335, Taiwan
Abstract
A 5G network can provide more comprehensive bandwidth connectivity for the industry 4.0 environment, which requires faster and tremendous data transmission. This study demonstrates the 5G network performance evaluation with MEC, without MEC, WiFi 6, and Ethernet networks. Usually, a 5G network engages with Multi-access Edge Computing, providing the computing functions dedicated to the users on edge nodes. The MEC network architecture presents significant facilities, a network schematic, and data transmission routers. The field test performs high-definition streaming video and heavy-traffic load testing to evaluate the performance based on different protocols by comparing throughput, latency, jitter, and packet loss rate. MEC network performance, streaming video performance, and load test evaluation results reveal that the 5G network working with MEC achieved better performance than when it was working without MEC. The MEC can improve data transmission efficiency by dedicated configuration but is only accessible with authentication from mobile network operators (MNOs). Therefore, MNOs should offer industrial private network users partial authentication for accessing MEC functionality to improve network feasibility and efficiency. In conclusion, this work illustrates the 5G network implementation and performance measurement for constructing a smart factory.
Funder
National Science and Technology Council (NSTC), Taiwan
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference21 articles.
1. Statista (2022, October 03). Forecast Number of 5G Mobile Subscriptions Worldwide 2019–2026. Available online: https://www.statista.com/statistics/760275/5g-mobile-subscriptions-worldwide/.
2. Cisco (2021, May 05). Cisco Annual Internet Report (2018–2023). Available online: https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c1-741490.html.
3. Kitanov, S., and Janevski, T. (2014, January 27). State of the Art: Mobile Cloud Computing. Proceedings of the 2014 Sixth International Conference on Computational Intelligence, Communication Systems, and Networks, Tetova, North Macedonia.
4. An open ecosystem for mobile-cloud convergence;Satyanarayanan;IEEE Commun. Mag.,2015
5. Ramirez, R., Huang, C.-Y., and Liang, S.-H. (2022). 5G Digital Twin: A Study of Enabling Technologies. Appl. Sci., 12.
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