Modeling and Experimental Validation for Battery Lifetime Estimation in NB-IoT and LTE-M

Andre Sorensen, Hua Wang, Maxime Jerome Remy, Nicolaj Kjettrup, Rene Brandborg Sorensen, Jimmy Jessen Nielsen, Petar Popovski, German Corrales Madueno

Research output: Contribution to journalJournal articleResearchpeer-review

16 Citations (Scopus)

Abstract

Internet of Things (IoT) is one of the main features in 5G. Low-power wide-area networking (LPWAN) has attracted enormous research interests to enable large-scale deployment of IoT, with the design objectives of low cost, wide coverage area, as well as low-power consumption. In particular, a long battery lifetime is essential since many of the IoT devices will be deployed in hard-to-access locations. Prediction of the battery lifetime depends on the accurate modeling of energy consumption. This article presents a comprehensive power consumption model for battery lifetime estimation, which is based on user equipment (UE) states and procedures, for two cellular IoT technologies: 1) Narrowband IoT (NB-IoT) and 2) long-term evolution for machines (LTE-M). A measurement testbed has been set up and the proposed model has been tested and validated via extensive measurements under various traffic patterns and network scenarios, achieving the modeling inaccuracy within 5%. The measurement results show that the battery lifetime of an IoT device can reach up to ten years as required by 3GPP, with proper configuration of the traffic profile, the coverage scenario, as well as the network configuration parameters.

Original languageEnglish
JournalIEEE Internet of Things Journal
Volume9
Issue number12
Pages (from-to)9804-9819
Number of pages16
ISSN2327-4662
DOIs
Publication statusPublished - 15 Jun 2022

Bibliographical note

Publisher Copyright:
IEEE

Keywords

  • Analytical models
  • Batteries
  • Battery lifetime estimation.
  • Energy consumption
  • Internet of Things
  • IoT
  • LTE-M
  • NB-IoT
  • Performance evaluation
  • Power consumption models
  • Power demand
  • Uplink
  • Internet of Things (IoT)
  • Narrowband IoT (NB-IoT)
  • Battery lifetime estimation
  • long-term evolution for machines (LTE-M)
  • power consumption models

Fingerprint

Dive into the research topics of 'Modeling and Experimental Validation for Battery Lifetime Estimation in NB-IoT and LTE-M'. Together they form a unique fingerprint.

Cite this