NB-IoT Network Monitoring and Diagnosing

被引：1

作者：

Hu, Zhenxian ^{[1
]}

Xue, Guangtao ^{[1
]}

Chen, Yi-Chao ^{[1
]}

Li, Minglu ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Shanghai, Peoples R China

来源：

2019 16TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING (SECON) | 2019年

基金：

国家重点研发计划;

关键词：

D O I：

10.1109/sahcn.2019.8824793

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

NarrowBand-IoT (NB-IoT) is a radio access technology standardized by 3GPP to support a large set of use cases associated with the rapid deployment of massive machine-type communications. NB-IoT facilitates the connection of devices in inaccessible areas, extends battery life, and reduces device complexity. Unfortunately, the opacity of the underlying schema (i.e., the way that these benefits are achieved) makes it very difficult for most users and developers to manage deployment scenarios. In this study, we built an embedded system comprising a Raspberry Pi with an NB module, referred to as NBPilot, which interacts with NB networks to identify essential signalling messages transmitted by a Qualcomm NB modem. This system gives researchers and developers an unprecedented understanding of network behaviour as well as the ability to adjust them to their particular requirements. We employed the-state-of-art machine learning techniques for modeling and the analysis of NB performance. The efficacy of the proposed NBPilot system was established by applying it to a metropolitan NB-IoT network with over 2,000 NB sites for the collection and testing of data trace as well as the validation of a cellular station prior to going online.

引用

页数：9

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