Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario

Jakob Thrane; Krzysztof Mateusz Malarski; Henrik Lehrmann Christiansen; Sarah Ruepp

doi:10.1109/GLOBECOM42002.2020.9322360

Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario

Jakob Thrane, Krzysztof Mateusz Malarski, Henrik Lehrmann Christiansen, Sarah Ruepp

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Path-loss modelling in deep-indoor scenarios is a difficult task. On one hand, the theoretical formulae solely dependent on transmitter-receiver distance are too simple; on the other hand, discovering all significant factors affecting the loss of signal power in a given situation may often be infeasible. In this paper, we experimentally investigate the influence of deep-indoor features such as indoor depth, indoor distance and distance to the closest tunnel corridor and the effect on received power using NB-IoT. We describe a measurement campaign performed in a system of long underground tunnels, and we analyse linear regression models involving the engineered features. We show that the current empirical models for NB-IoT signal attenuation are inaccurate in a deep-indoor scenario. We observe that 1) indoor distance and penetration depth do not explain the signal attenuation well and increase the error of the prediction by 2-12 dB using existing models, and 2) a promising feature of average distance to the nearest corridor is identified.

Original language	English
Title of host publication	Proceedings of 2020 IEEE Global Communications Conference
Number of pages	6
Publisher	IEEE
Publication date	Dec 2020
Article number	9322360
ISBN (Electronic)	9781728182988
DOIs	https://doi.org/10.1109/GLOBECOM42002.2020.9322360
Publication status	Published - Dec 2020
Event	2020 IEEE Global Communications Conference - Virtual, Taipei, Taipei, Taiwan, Province of China Duration: 7 Dec 2020 → 11 Dec 2020

Conference

Conference	2020 IEEE Global Communications Conference
Location	Virtual, Taipei
Country/Territory	Taiwan, Province of China
City	Taipei
Period	07/12/2020 → 11/12/2020
Sponsor	6G Office, Chunghwa Telecom Co. Ltd., Foxconn, Huawei, MediaTek

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This work was partially supported by Innovation Fund Denmark through the Eureka Turbo project IoT Watch4Life.

Publisher Copyright:
© 2020 IEEE.

Keywords

Coverage
Deep-indoor
LIDAR
NB-IoT
Path-loss
Signal attenuation

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title = "Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario",

abstract = "Path-loss modelling in deep-indoor scenarios is a difficult task. On one hand, the theoretical formulae solely dependent on transmitter-receiver distance are too simple; on the other hand, discovering all significant factors affecting the loss of signal power in a given situation may often be infeasible. In this paper, we experimentally investigate the influence of deep-indoor features such as indoor depth, indoor distance and distance to the closest tunnel corridor and the effect on received power using NB-IoT. We describe a measurement campaign performed in a system of long underground tunnels, and we analyse linear regression models involving the engineered features. We show that the current empirical models for NB-IoT signal attenuation are inaccurate in a deep-indoor scenario. We observe that 1) indoor distance and penetration depth do not explain the signal attenuation well and increase the error of the prediction by 2-12 dB using existing models, and 2) a promising feature of average distance to the nearest corridor is identified.",

keywords = "Coverage, Deep-indoor, LIDAR, NB-IoT, Path-loss, Signal attenuation",

author = "Jakob Thrane and Malarski, {Krzysztof Mateusz} and Christiansen, {Henrik Lehrmann} and Sarah Ruepp",

note = "Funding Information: ACKNOWLEDGEMENT This work was partially supported by Innovation Fund Denmark through the Eureka Turbo project IoT Watch4Life. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Global Communications Conference, IEEE GLOBECOM 2020 ; Conference date: 07-12-2020 Through 11-12-2020",

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Thrane, J, Malarski, KM, Christiansen, HL & Ruepp, S 2020, Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario. in Proceedings of 2020 IEEE Global Communications Conference., 9322360, IEEE, 2020 IEEE Global Communications Conference, Taipei, Taiwan, Province of China, 07/12/2020. https://doi.org/10.1109/GLOBECOM42002.2020.9322360

Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario. / Thrane, Jakob; Malarski, Krzysztof Mateusz; Christiansen, Henrik Lehrmann et al.
Proceedings of 2020 IEEE Global Communications Conference. IEEE, 2020. 9322360.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario

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Keywords

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