Measuring and Optimizing Cell Selection of NB-IoT Network

被引：2
|
作者：
Shen, Liqian [1 ,2 ]
Chang, Xiangmao [1 ,2 ]
Qiu, Yusheng [1 ,2 ]
Xing, Guoliang [3 ]
Yang, Deliang [4 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Comp Sci & Technol, Nanjing, Peoples R China
[2] Collaborat Innovat Ctr Novel Software Technol & I, Nanjing, Peoples R China
[3] Chinese Univ Hong Kong, Informat Engn, Hong Kong, Peoples R China
[4] Michigan State Univ, Elect & Comp Engn, E Lansing, MI 48824 USA
来源：
2020 IEEE 17TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SMART SYSTEMS (MASS 2020) | 2020年
基金：
中国国家自然科学基金;
关键词：
cell selection; field measurement; NB-IoT; OPTIMIZATION;
D O I：
10.1109/MASS50613.2020.00061
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 three 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.
引用
收藏
页码：446 / 454
页数：9
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