TY - JOUR
T1 - Optimizing NB-IoT Power Consumption via Adaptive Radio Access
AU - Chang, Xiangmao
AU - Chen, Kai
AU - Xing, Guoliang
AU - Huang, Jun
AU - Chen, Bing
PY - 2022/3/15
Y1 - 2022/3/15
N2 - Narrowband Internet of Things (NB-IoT) standardized by the 3GPP has attracted significant attention since its appearance. It provides extended coverage, high capacity, reduced device processing complexity, and low-power consumption to meet the requirements of a wide range of IoT applications. In particular, NB-IoT is expected to bring IoT devices prolonged lifetime up to ten years. Radio access (RA) plays a key role in the total power consumption of NB-IoT devices. Specifically, the enhanced coverage levels (ECLs) configure the user equipment (UE) with different random-access resources and power consumption during packet transmissions. In this article, we examine the ECL selection strategies for reducing the power consumption of NB-IoT. We develop two testbeds to conduct extensive field measurements related to ECL selection. Based on the measurement results, we analyze the key issues in the ECL selection process. Then, we propose an adaptive RA approach for UE, which includes two novel strategies for predictive ECL selection and opportunistic packet transmission. Evaluations show that, with the configuration of ECL selected by our adaptive approach, the UE can reduce the radio power consumption up to 36% while maintaining the same block error rate (BLER) during uploading under real-world settings.
AB - Narrowband Internet of Things (NB-IoT) standardized by the 3GPP has attracted significant attention since its appearance. It provides extended coverage, high capacity, reduced device processing complexity, and low-power consumption to meet the requirements of a wide range of IoT applications. In particular, NB-IoT is expected to bring IoT devices prolonged lifetime up to ten years. Radio access (RA) plays a key role in the total power consumption of NB-IoT devices. Specifically, the enhanced coverage levels (ECLs) configure the user equipment (UE) with different random-access resources and power consumption during packet transmissions. In this article, we examine the ECL selection strategies for reducing the power consumption of NB-IoT. We develop two testbeds to conduct extensive field measurements related to ECL selection. Based on the measurement results, we analyze the key issues in the ECL selection process. Then, we propose an adaptive RA approach for UE, which includes two novel strategies for predictive ECL selection and opportunistic packet transmission. Evaluations show that, with the configuration of ECL selected by our adaptive approach, the UE can reduce the radio power consumption up to 36% while maintaining the same block error rate (BLER) during uploading under real-world settings.
KW - Power demand
KW - Power measurement
KW - Internet of Things
KW - Energy measurement
KW - Energy consumption
KW - Optimization
KW - Loss measurement
KW - Adaptive radio access (RA)
KW - enhanced coverage level (ECL)
KW - Narrowband Internet of Things (NB-IoT)
KW - power consumption
UR - http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000766683600056
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85113894376&origin=recordpage
UR - http://www.scopus.com/inward/record.url?scp=85113894376&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2021.3107508
DO - 10.1109/JIOT.2021.3107508
M3 - RGC 21 - Publication in refereed journal
SN - 2327-4662
VL - 9
SP - 4693
EP - 4703
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 6
ER -