NB-IoT网络小区选择的测量与优化

2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) Pub Date : 2020-12-01 DOI:10.1109/MASS50613.2020.00061

Liqian Shen, Xiangmao Chang, Yusheng Qiu, G. Xing, Deliang Yang

{"title":"NB-IoT网络小区选择的测量与优化","authors":"Liqian Shen, Xiangmao Chang, Yusheng Qiu, G. Xing, Deliang Yang","doi":"10.1109/MASS50613.2020.00061","DOIUrl":null,"url":null,"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 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.","PeriodicalId":105795,"journal":{"name":"2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Measuring and Optimizing Cell Selection of NB-IoT Network\",\"authors\":\"Liqian Shen, Xiangmao Chang, Yusheng Qiu, G. Xing, Deliang Yang\",\"doi\":\"10.1109/MASS50613.2020.00061\",\"DOIUrl\":null,\"url\":null,\"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 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.\",\"PeriodicalId\":105795,\"journal\":{\"name\":\"2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MASS50613.2020.00061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASS50613.2020.00061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

窄带物联网(NB-IoT)是一种新兴的蜂窝通信技术，专为低功耗广域应用而设计。蜂窝选择决定了用户设备的信道，因此是蜂窝网络中的一个重要问题。在本文中，我们首次尝试通过现场测量来检查和优化NB-IoT网络中的小区选择。我们在30个不同的地点进行了测量，涉及NB-IoT的5种典型应用场景。两种NB-IoT模块和两家网络运营商也参与了测量。通过测量，我们发现用户设备(UE)的小区选择存在三个潜在问题。我们提出了一种自适应单元选择方法来优化UE的单元选择。基于实际测量数据的仿真测试表明，采用自适应方法选择的小区能够提高终端的覆盖水平，降低终端的功耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Measuring and Optimizing Cell Selection of NB-IoT Network

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)

自引率

0.00%

发文量