Evaluation of Cellular IoT for Sport Wearables

2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops) Pub Date : 2019-09-01 DOI:10.1109/PIMRCW.2019.8880850

O. Apilo, J. Mäkelä, Atte Kuosmonen

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引用次数: 5

Abstract

In this paper, we evaluate the suitability of LTE for Machine-Type Communications (LTE-M) and Narrowband IoT (NB-IoT) for sport wearables. The evaluation is done in a live test network using commercial evaluation boards. The performance is measured in terms of throughput, latency, power consumption, NB-IoT cell reselection delay, and link distance. Based on the results, both NB-IoT and LTE-M are able to support periodic training data updates and message reception in normal conditions. The power consumption of the measured devices varies considerably, especially the measured LTE-M device consumes significantly more power than the power-optimized NB-IoT device. However, the current smart watch batteries should be able to support several hour training sessions if the non-modem power consumption is low. Coverage enhancements for NB-IoT can increase the link distance significantly with the cost of decreased throughput and increased delay, which prevents the use of fast training data upload at extended coverage regions.

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运动可穿戴设备的蜂窝物联网评估

在本文中，我们评估了LTE用于机器类型通信(LTE- m)和窄带物联网(NB-IoT)用于运动可穿戴设备的适用性。评估是在使用商业评估板的现场测试网络中完成的。性能指标包括吞吐量、延迟、功耗、NB-IoT小区重选延迟和链路距离。结果表明，NB-IoT和LTE-M均能在正常情况下支持定期的训练数据更新和消息接收。被测设备的功耗差异较大，特别是LTE-M设备的功耗明显高于功耗优化的NB-IoT设备。然而，如果非调制解调器功耗较低，目前的智能手表电池应该能够支持几个小时的训练。NB-IoT的覆盖增强可以显着增加链路距离，但代价是吞吐量降低和延迟增加，这阻碍了在扩展覆盖区域使用快速训练数据上传。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops)

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