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Research Article · Open access · Published 30 August 2022

Parameters Assessment for Industrial 5G Networks 

Christian Mailer1, Alex Sandro Roschildt Pinto1 & Adao Boava2

Journal of Computer Science, Volume 18, Issue 8, pp. 777–783 · doi.org/10.3844/jcssp.2022.777.783

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Abstract

TheFifth Generation of Mobile Networks (5G) will allow low latency to be achievedwhile providing high reliability. This service grade will suit industrialapplications very well since it will allow the integration of a wirelessframework without compromising the determinism of industrial networks.Employing Time-Sensitive Networking (TSN) standards in the 5G architecture iscurrently the best solution to maintain compatibility with existing industrialimplementations and to make the mobile network capable of providing therequired synchronization and low latency. However, there is not much researchthat explores the quantitative elements behind 5G architectures applied toindustry, which would be essential for designing and managing mobile TSNnetworks. This study explored the influence of numerology and payload size on5G networks through simulations and graphical analysis. The results showed thatfor frequencies below 6 GHz, numerology 4should be used. For a frequency of 26 GHz, numerology 3 and 4 are acceptable,but 4 proved to be more suitable for critical applications. For packet sizesabove 650 bytes, it was concluded that the 26 GHz frequency should be used.

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Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

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Mailer, C., Pinto, A. S. R. & Boava, A. (2022). Parameters Assessment for Industrial 5G Networks . Journal of Computer Science, 18(8), 777–783. https://doi.org/10.3844/jcssp.2022.777.783

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Parameters Assessment for Industrial 5G NetworksJournal of Computer Science · Volume 18, Issue 8 · pp. 777–783 · CC BY 4.0Download