RT Journal Article
T1 Towards Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking
A1 Luque Schempp, Francisco
A1 Panizo-Jaime, Laura
A1 Gallardo-Melgarejo, María del Mar
A1 Merino-Gómez, Pedro
A1 Rivas, Francisco Javier
K1 Sistemas de comunicaciones inalámbricos
AB The need to increase mobility and to remove cables in industrial environments is pushing 5G as a valuable communicationsystem to connect traditional deterministic Ethernet-based devices. One alternative is the adoption of Time Sensitive Networking (TSN) standards over 5G Non-Public Networks (5G NPN) deployed in the company premises. This scenario presents several challenges, being the configuration of the 5G part the most relevant to provide latency, reliability and throughput balancesuitable to ensure that all the TSN traffic can be delivered in time.Our research work addresses this problem from the perspective of the learning automata. Our aim is to learn from the live network to build a smart controller that can dynamically predict and apply a suitable configuration of the 5G NPN that can satisfythe requirements of the current TSN traffic. The article presents the main ideas of this novel approach.
PB IEEE
YR 2022
FD 2022
LK https://hdl.handle.net/10630/24749
UL https://hdl.handle.net/10630/24749
LA spa
NO Luque-Schempp, Francisco, [et al.] (2022). Towards Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking. IEEE Network, vol. 36, no. 2, pp. 50-56.
NO This preprint has not undergone peer review or any post-submission improvements or corrections. The Version of Record of this contribution is published in F. Luque-Schempp, L. Panizo, M. -d. -M. Gallardo, P. Merino and J. Rivas, "Toward Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking," in IEEE Network, vol. 36, no. 2, pp. 50-56, March/April 2022, doi: 10.1109/MNET.006.2100442.mission improvements or corrections. The Version of Record of this contribution is published in
NO European Union Horizon 2020 under grant agreements No.101016608 (EVOLVED5G) and No.957317 (AFFORDABLE5G). Spanish Government grant agreement RTI-2018-099777-B-I00 (RFOG)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026