Quantifying NB-IoT Performance in 5G Use-Cases With Mixture of Regular and Stochastic Traffic

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Date
2024-11-12
Authors
Mašek, Pavel
Moltchanov, Dmitri
Štůsek, Martin
Možný, Radek
Koucheryavy, Yevgeni
Hošek, Jiří
Advisor
Referee
Mark
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Publisher
IEEE
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Abstract
The increasing demand for power distribution systems in terms of control with nearly immediate response requires deploying a new type of user equipment (UE) that demands permanent connectivity. In NB-IoT systems, the traffic generated by such UEs may constitute a large part of the overall load. In this paper, we first propose a detailed two-dimensional Markov chain model to capture the system's behavior with the mixture of conventional stochastic and regular traffic types. To provide a computationally efficient solution, we then apply the state aggregation technique to reduce it to a one-dimensional model and develop approximations and associated numerical algorithms for assessing the mean delay when transmitting the considered traffic. Our results show that a single NB-IoT cell remains stable for up to 72x10^4 conventional UEs and 9x10^3 UEs demanding permanent connectivity. The presence of the latter UEs type has a linear effect on their delay, but affects conventional UEs more drastically. A delay bound of 10s specified in ITU-R M.2410 is met for the conventional UEs, even under a high number of permanently connected UEs 10^3. However, the delay on the side of the latter UEs is violated even for 100 permanently connected UEs requiring redesigning the NB-IoT channel access mechanism or expanding resources.
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Citation
IEEE Internet of Things Journal. 2024, vol. 12, issue 6, p. 7332-7347.
https://ieeexplore.ieee.org/document/10750346
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Peer-reviewed
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Published version
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en
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Creative Commons Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
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