TY - JOUR
T1 - Modeling and Experimental Validation for Battery Lifetime Estimation in NB-IoT and LTE-M
AU - Sorensen, Andre
AU - Wang, Hua
AU - Remy, Maxime Jerome
AU - Kjettrup, Nicolaj
AU - Sorensen, Rene Brandborg
AU - Nielsen, Jimmy Jessen
AU - Popovski, Petar
AU - Madueno, German Corrales
N1 - Publisher Copyright:
IEEE
PY - 2022/6/15
Y1 - 2022/6/15
N2 - 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.
AB - 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.
KW - Analytical models
KW - Batteries
KW - Battery lifetime estimation.
KW - Energy consumption
KW - Internet of Things
KW - IoT
KW - LTE-M
KW - NB-IoT
KW - Performance evaluation
KW - Power consumption models
KW - Power demand
KW - Uplink
KW - Internet of Things (IoT)
KW - Narrowband IoT (NB-IoT)
KW - Battery lifetime estimation
KW - long-term evolution for machines (LTE-M)
KW - power consumption models
UR - http://www.scopus.com/inward/record.url?scp=85125361983&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2022.3152173
DO - 10.1109/JIOT.2022.3152173
M3 - Journal article
AN - SCOPUS:85125361983
SN - 2327-4662
VL - 9
SP - 9804
EP - 9819
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 12
ER -