@article {10.3844/jcssp.2022.777.783,
article_type = {journal},
title = {Parameters Assessment for Industrial 5G Networks },
author = {Mailer, Christian and Pinto, Alex Sandro Roschildt and Boava, Adao},
volume = {18},
number = {8},
year = {2022},
month = {Aug},
pages = {777-783},
doi = {10.3844/jcssp.2022.777.783},
url = {https://thescipub.com/abstract/jcssp.2022.777.783},
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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}