In this paper we develop a simple, yet accurate, performance model to understand if and how evolutions of traditional cellular network protocols can be exploited to allow large numbers of devices to gain control of transmission resources in smart factory radio access networks. The model results shed light on the applicability of evolved access procedures and help understand how many devices can be served per base station. In addition, considering the simultaneous presence of different traffic classes, we investigate the effectiveness of prioritised access, exploiting access class barring techniques. Our model shows that, even with the sub-millisecond time slots foreseen in LTE Advanced Pro and 5G, a base station can accommodate at most few thousand devices to guarantee access latencies below 100 ms with high transmission success probabilities. This calls for a rethinking of wireless access strategies to avoid ultra-dense cell deployments within smart factory infrastructures.

A Simple Model of MTC in Smart Factories

Paolo Castagno;Matteo Sereno;
2018-01-01

Abstract

In this paper we develop a simple, yet accurate, performance model to understand if and how evolutions of traditional cellular network protocols can be exploited to allow large numbers of devices to gain control of transmission resources in smart factory radio access networks. The model results shed light on the applicability of evolved access procedures and help understand how many devices can be served per base station. In addition, considering the simultaneous presence of different traffic classes, we investigate the effectiveness of prioritised access, exploiting access class barring techniques. Our model shows that, even with the sub-millisecond time slots foreseen in LTE Advanced Pro and 5G, a base station can accommodate at most few thousand devices to guarantee access latencies below 100 ms with high transmission success probabilities. This calls for a rethinking of wireless access strategies to avoid ultra-dense cell deployments within smart factory infrastructures.
2018
IEEE International Conference on Computer Communications (INFOCOM)
Honolulu, HI, USA
15-19 April 2018
Proceedings of IEEE International Conference on Computer Communications (INFOCOM)
IEEE
2591
2599
978-153864128-6
https://ieeexplore.ieee.org/abstract/document/8485942
https://dspace.networks.imdea.org/handle/20.500.12761/488
Cellular Networks, Machine-Type Communication (MTC), Internet of Things (IoT), Performance Modeling, 5G
Paolo Castagno, Vincenzo Mancuso, Matteo Sereno, Marco Ajmone Marsan
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1661844
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