2026-04-27T14:33:51Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/761622025-07-07T07:58:36Zcom_10324_1191com_10324_931com_10324_894col_10324_1381
Dynamic MEC resource management for URLLC in Industry X.0 scenarios: a quantitative approach based on digital twin networks
Becattini, Marco
Carnevali, Laura
Fontani, Giovanni
Paroli, Leonardo
Scommegna, Leonardo
Masoumi Estahbanati, Maryam
Miguel Jiménez, Ignacio de
Brasca, Fabrizio
The use of innovative technologies in Industry X.0 sce
narios, including, but not limited to, Augmented Reality/Virtual
Reality (AR/VR), autonomous robotics, and advanced security
systems, requires applicative interconnections between a large
number of IoT machines and devices.
These interconnections must support Ultra-Reliable and Low
Latency Communications (URLLC) to optimize usage and per
formances of devices related to those new technologies. Notably,
the concepts of low latency and reliability are inherently linked;
from a device perspective, any service exceeding specific response
time thresholds is deemed unresponsive, and thus unreliable.
In this paper, we present an innovative approach to quan
titatively evaluate reliability in URLLC settings, leveraging the
use of Digital Twin Networks (DTN), with a specific focus on
Mobile Edge Computing (MEC) and its application to Industry
X.0 scenarios.
Results obtained so far show the potential for this approach to
confer MEC better requests handling capabilities, by providing
a near real time re-configuration ability within the MEC itself.
2025-06-30T11:06:37Z
2025-06-30T11:06:37Z
2025-06-30T11:06:37Z
2024
info:eu-repo/semantics/conferenceObject
2024 IEEE International Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0 and IoT), Firenze, Italy, 2024, pp. 372-376
979-8-3503-8582-3
https://uvadoc.uva.es/handle/10324/76162
10.1109/MetroInd4.0IoT61288.2024.10584165
eng
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10584165
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
IEEE