Measurement-based Optimization of Cell Selection in NB-IoT Networks

Xiangmao Chang; Jun Zhan; Guoliang Xing; Jun Huang; Bing Chen; Lu Zhou

doi:10.1145/3544017

Measurement-based Optimization of Cell Selection in NB-IoT Networks

Xiangmao Chang, Jun Zhan, Guoliang Xing, Jun Huang, Bing Chen, Lu Zhou

Department of Computer Science

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

3 Citations (Scopus)

Abstract

Narrowband-Internet of Things (NB-IoT) is an emerging cellular communication technology designed for low power wide area applications. Cell selection determines the channel of user device and hence is an important issue in cellular networks. In this paper, we take the first attempt to examine and optimize the the cell selection in NB-IoT networks by field measurement. We conduct measurements at 30 different locations which involve 5 typical application scenarios of NB-IoT. Two kinds of NB-IoT modules and two network operators are also involved in the measurements. We find four potential issues on the cell selection of the User Equipment (UE) through the measurements. We propose an adaptive cell selection approach to optimize the cell selection of UE. The simulation test based on real-world measurement data shows that the cell selected by the adaptive approach can improve the coverage level and reduce the power consumption for UE.

Original language	English
Article number	65
Journal	ACM Transactions on Sensor Networks
Volume	18
Issue number	4
Online published	16 Jun 2022
DOIs	https://doi.org/10.1145/3544017
Publication status	Published - Nov 2022

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Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

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title = "Measurement-based Optimization of Cell Selection in NB-IoT Networks",

abstract = "Narrowband-Internet of Things (NB-IoT) is an emerging cellular communication technology designed for low power wide area applications. Cell selection determines the channel of user device and hence is an important issue in cellular networks. In this paper, we take the first attempt to examine and optimize the the cell selection in NB-IoT networks by field measurement. We conduct measurements at 30 different locations which involve 5 typical application scenarios of NB-IoT. Two kinds of NB-IoT modules and two network operators are also involved in the measurements. We find four potential issues on the cell selection of the User Equipment (UE) through the measurements. We propose an adaptive cell selection approach to optimize the cell selection of UE. The simulation test based on real-world measurement data shows that the cell selected by the adaptive approach can improve the coverage level and reduce the power consumption for UE.",

author = "Xiangmao Chang and Jun Zhan and Guoliang Xing and Jun Huang and Bing Chen and Lu Zhou",

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month = nov,

doi = "10.1145/3544017",

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T1 - Measurement-based Optimization of Cell Selection in NB-IoT Networks

AU - Chang, Xiangmao

AU - Zhan, Jun

AU - Xing, Guoliang

AU - Huang, Jun

AU - Chen, Bing

AU - Zhou, Lu

N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

PY - 2022/11

Y1 - 2022/11

N2 - Narrowband-Internet of Things (NB-IoT) is an emerging cellular communication technology designed for low power wide area applications. Cell selection determines the channel of user device and hence is an important issue in cellular networks. In this paper, we take the first attempt to examine and optimize the the cell selection in NB-IoT networks by field measurement. We conduct measurements at 30 different locations which involve 5 typical application scenarios of NB-IoT. Two kinds of NB-IoT modules and two network operators are also involved in the measurements. We find four potential issues on the cell selection of the User Equipment (UE) through the measurements. We propose an adaptive cell selection approach to optimize the cell selection of UE. The simulation test based on real-world measurement data shows that the cell selected by the adaptive approach can improve the coverage level and reduce the power consumption for UE.

AB - Narrowband-Internet of Things (NB-IoT) is an emerging cellular communication technology designed for low power wide area applications. Cell selection determines the channel of user device and hence is an important issue in cellular networks. In this paper, we take the first attempt to examine and optimize the the cell selection in NB-IoT networks by field measurement. We conduct measurements at 30 different locations which involve 5 typical application scenarios of NB-IoT. Two kinds of NB-IoT modules and two network operators are also involved in the measurements. We find four potential issues on the cell selection of the User Equipment (UE) through the measurements. We propose an adaptive cell selection approach to optimize the cell selection of UE. The simulation test based on real-world measurement data shows that the cell selected by the adaptive approach can improve the coverage level and reduce the power consumption for UE.

U2 - 10.1145/3544017

DO - 10.1145/3544017

M3 - RGC 21 - Publication in refereed journal

SN - 1550-4859

VL - 18

JO - ACM Transactions on Sensor Networks

JF - ACM Transactions on Sensor Networks

IS - 4

M1 - 65

ER -

Measurement-based Optimization of Cell Selection in NB-IoT Networks

Abstract

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