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Fine-Grained Measurements of Repetitions on Performance of NB-IoT

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Wireless Algorithms, Systems, and Applications (WASA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12938))

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Abstract

Narrowband-Internet of Things (NB-IoT) is an emerging cellular technology designed for Low-Power Wide-Area Network applications. To extend coverage, repetition scheme is introduced to boost the signal during transmission. In this paper, we evaluate the effects of the repetition number on the performance of NB-IoT networks under different signal conditions. Using an empirical approach, we perform extensive field measurements of the critical characteristics such as power consumption and transmission reliability by setting up a software-defined base station. We present detailed analysis of power consumption and packet loss under different repetition settings and signal conditions from both the overall and the phased perspectives. The results show that the repetition setting dramatically affects the power consumption of random access and the data sending phases.

This work was supported in part by the National Key Research and Development Program of China under Grant 2019YFB2102000; in part by the Natural Science Foundation of Jiangsu Province under Grant BK20200067.

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Authors and Affiliations

  1. Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Yusheng Qiu & Xiangmao Chang

Authors
  1. Yusheng Qiu
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  2. Xiangmao Chang
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Corresponding author

Correspondence to Xiangmao Chang .

Editor information

Editors and Affiliations

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

    Zhe Liu

  2. Shanghai Jiao Tong University, Shanghai, China

    Fan Wu

  3. Missouri University of Science and Technology, Rolla, MO, USA

    Sajal K. Das

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Qiu, Y., Chang, X. (2021). Fine-Grained Measurements of Repetitions on Performance of NB-IoT. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12938. Springer, Cham. https://doi.org/10.1007/978-3-030-86130-8_37

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  • DOI: https://doi.org/10.1007/978-3-030-86130-8_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86129-2

  • Online ISBN: 978-3-030-86130-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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