A Model for Univariant and Multivariant Simulating the Battery Lifetime of UE NB-IoT

NB-IoT represents a promising technology for facilitating machine-to-machine communication within cellular IoT. The battery life of user equipment (UE NB-IoT) stands as a critical parameter for ensuring the sustained and dependable operation of NB-IoT applications over time. Modeling the energy consumption of autonomous UE NB-IoT constitutes a crucial step in the development of NB-IoT-based systems. A model for estimating both a UE NB-IoT energy consumption and a battery lifetime is proposed. The model encompasses several distinguishing features, including consideration of the stochastic nature of signaling across physical channels, compatibility with diverse transceivers, and support for multivariate analysis, including the statistical testing, etc. Experimental studies are conducted to validate the model, encompassing varying input and internal parameters values. A comparative analysis is performed to assess the obtained results and demonstrate the applicability of the proposed model for computer-aided designing NB-IoT applications.

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Published
2024-09-08
DOI
https://doi.org/10.1109/rusautocon61949.2024.10694326
Primary Topic
IoT and Edge/Fog Computing
Type
article
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article

A Model for Univariant and Multivariant Simulating the Battery Lifetime of UE NB-IoT

Sergey Mosin
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IoT and Edge/Fog Computing
article

A Model for Univariant and Multivariant Simulating the Battery Lifetime of UE NB-IoT

Sergey Mosin
article en

Abstract

NB-IoT represents a promising technology for facilitating machine-to-machine communication within cellular IoT. The battery life of user equipment (UE NB-IoT) stands as a critical parameter for ensuring the sustained and dependable operation of NB-IoT applications over time. Modeling the energy consumption of autonomous UE NB-IoT constitutes a crucial step in the development of NB-IoT-based systems. A model for estimating both a UE NB-IoT energy consumption and a battery lifetime is proposed. The model encompasses several distinguishing features, including consideration of the stochastic nature of signaling across physical channels, compatibility with diverse transceivers, and support for multivariate analysis, including the statistical testing, etc. Experimental studies are conducted to validate the model, encompassing varying input and internal parameters values. A comparative analysis is performed to assess the obtained results and demonstrate the applicability of the proposed model for computer-aided designing NB-IoT applications.

Kazan Federal University (RU)
Affordable and clean energy
Openalex Percentile: Top 81%
IoT and Edge/Fog Computing
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A Model for Univariant and Multivariant Simulating the Battery Lifetime of UE NB-IoT — Sergey Mosin · (2024) | TGRS Research Map | TGRS