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

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

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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 languageEnglish
Title of host publicationProceedings of 2020 IEEE Global Communications Conference
Number of pages6
PublisherIEEE
Publication dateDec 2020
Article number9322360
ISBN (Electronic)9781728182988
DOIs
Publication statusPublished - Dec 2020
Event2020 IEEE Global Communications Conference - Virtual, Taipei, Taipei, Taiwan, Province of China
Duration: 7 Dec 202011 Dec 2020
https://xpresspubs.org/glo20/

Conference

Conference2020 IEEE Global Communications Conference
LocationVirtual, Taipei
Country/TerritoryTaiwan, Province of China
CityTaipei
Period07/12/202011/12/2020
Sponsor6G Office, Chunghwa Telecom Co. Ltd., Foxconn, Huawei, MediaTek
Internet address
Series2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings

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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