Measurement-Based Optimization of Cell Selection in NB-IoT Networks-Reference-Cited by-同舟云学术

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

Published:2022-11-29 Issue:4 Volume:18 Page:1-19
ISSN:1550-4859
Container-title:ACM Transactions on Sensor Networks
language:en
Short-container-title:ACM Trans. Sen. Netw.

Author:

Chang Xiangmao¹^ORCID,Zhan Jun¹^ORCID,Xing Guoliang²^ORCID,Huang Jun³^ORCID,Chen Bing¹^ORCID,Zhou Lu¹^ORCID

Affiliation:

1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. The Chinese University of Hong Kong, Hong Kong

3. The City University of Hong Kong, Hong Kong

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 article, we make the first attempt to examine and optimize the cell selection in NB-IoT networks by field measurement. We conduct measurements at 30 different locations which involve five 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.

Funder

A3 Foresight Program of NSFC

National Nature Science Foundation of China

Fundamental Research Funds for the Central Universities

Research Grants Council of Hong Kong

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Link

https://dl.acm.org/doi/pdf/10.1145/3544017

Reference33 articles.

1. (????). 3GPP Release 14. Retrieved February 23 2022 from https://www.3gpp.org/release-14.

2. (????). BC-28. Retrieved February 23 2022 from https://www.quectel.com/cn/product/lpwa-bc28.

3. (????). BC-35. Retrieved February 23 2022 from https://www.quectel.com/cn/product/lpwa-bc35-g-nb-iot.

4. (????). Development guide for industrial using NB-IoT. Retrieved February 23 2022 from https://www.gsma.com/iot/wp-content/uploads/2019/08/201902_GSMA_IoT-Development_Guide_NB-IoT_for_Industrial.pdf.

5. (????). Garbage bins become ‘smart’ alert civic bodies when it overflows. Retrieved February 23 2022 from https://economictimes.indiatimes.com/small-biz/startups/features/garbage-bins-become-smart-alert-civic-bodies-when-it-overflows/articleshow/72217735.cms.