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Network Resource Management For Cyber-Physical Production Systems Based On Quality of Experience

Authors :
Vidács, Attila
Trombitás, Zalán
Szabó, Géza
Source :
In Proc., 37th European Simulation and Modelling Conference 2023
Publication Year :
2023

Abstract

In today's industrial challenges, it can be observed that the trends point in the direction of agile, wireless connected robots where elements of intelligence and control are implemented in the edge cloud. This paper outlines the roles of three key participants in the value chain of an industrial process: the network provider, the robot operator, and the customer. It proposes a scheme where the Quality of Service (QoS) parameters of the robot are fed into the network to inform network resource management. A sanding process use case is simulated to demonstrate the relationship between QoS and Quality of Experience (QoE) for each participant, quantitatively.

Details

Database :
arXiv
Journal :
In Proc., 37th European Simulation and Modelling Conference 2023
Publication Type :
Report
Accession number :
edsarx.2311.06008
Document Type :
Working Paper