@inproceedings{5e848e163f19413e995a1522f522194e,
title = "Scalability Analysis of 5G-TSN Applications in Indoor Factory Settings",
abstract = "While technologies such as Time-Sensitive Networking (TSN) improve deterministic behaviour, real-time functionality, and robustness of Ethernet, future industrial networks aim to be increasingly wireless. While wireless networks facilitate mobility, reduce cost, and simplify deployment, they do not always provide stringent latency constraints and highly dependable data transmission as required by many manufacturing systems. The advent of 5G, with its Ultra-Reliable Low-Latency Communication (URLLC) capabilities, offers potential for wireless industrial networks. 5G offers elevated data throughput, very low latency, and negligible jitter. As 5G networks typically include wired connections from the base station to the core network, integration of 5G with time-sensitive networking is essential to provide rigorous QoS standards. This paper assesses the scalability of 5G-TSN for various indoor factory applications and conditions using OMNET++ simulation. Our research shows that 5G-TSN has the potential to provide bounded delay for latency-sensitive applications in scalable indoor factory settings.",
keywords = "5G, Indoor Factory, Industrial Networks, Industry 4.0, Smart Factory, TSN, Wireless TSN",
author = "Kouros Zanbouri and Md Noor-A-Rahim and Dirk Pesch",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025 ; Conference date: 24-03-2025 Through 27-03-2025",
year = "2025",
doi = "10.1109/WCNC61545.2025.10978486",
language = "English",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE Wireless Communications and Networking Conference, WCNC 2025",
address = "United States",
}