Optimizing Energy Consumption in NB-IoT Networks through Enhanced Cell Selection and Reselection StrategyShow others and affiliations
2025 (English)In: The proceesdings of the 26th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Institute of Electrical and Electronics Engineers (IEEE), 2025, p. 222-228Conference paper, Published paper (Refereed)
Abstract [en]
Cellular Internet of Things (IoT) offers extensive connectivity today and is poised for further growth in the 5G era, especially after the upcoming sunsetting of 2G and 3G networks. It facilitates crucial IoT applications, such as smart metering to reduce energy consumption, smart logistics to enhance distribution efficiency, and smart environmental monitoring to address urban pollution. To support this expansion, leading mobile operators, global vendors, and developers are deploying NB-IoT networks as part of their long-term 5G IoT strategies. A key goal of NB-IoT is to optimize the battery life of IoT devices. While NB-IoT includes several power-saving features, the cell selection and re-selection processes result in significant energy consumption. We conducted a measurement campaign across three locations in two countries, Norway and Sweden, to investigate this issue based on an NB-IoT commercial network. Our findings reveal that cell re-selection frequently occurs even when the IoT device is stationary. Additionally, the reliance on Reference Signal Received Power (RSRP) for cell selection often leads to oscillations between the nearby cells or prolonged attach procedure. To address this challenge, we propose a cell reselection framework that considers RSRP while also considering historical information on transmission reliability. Evaluations of our proposed framework demonstrate energy savings of over 50% compared to legacy RSRP-based cell selection methods.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2025. p. 222-228
Keywords [en]
NB-IoT, energy consumption, random access, cell selection and reselection
National Category
Telecommunications Computer Sciences Communication Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-104015DOI: 10.1109/WoWMoM65615.2025.00048Scopus ID: 2-s2.0-105009232641ISBN: 979-8-3315-3833-0 (print)ISBN: 979-8-3315-3832-3 (electronic)OAI: oai:DiVA.org:kau-104015DiVA, id: diva2:1954035
Conference
the 26th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM),Texas, USA, May 27-30,2025.
2025-04-232025-04-232026-02-12Bibliographically approved