Investigation of deep indoor NB-IoT propagation attenuation

Krzysztof Mateusz Malarski; Jakob Thrane; Markus Greve Bech; Kamil Macheta; Henrik Lehrmann Christiansen; Martin Nordal Petersen; Sarah Renée Ruepp

doi:10.1109/vtcfall.2019.8891414

Investigation of deep indoor NB-IoT propagation attenuation

Krzysztof Mateusz Malarski, Jakob Thrane, Markus Greve Bech, Kamil Macheta, Henrik Lehrmann Christiansen, Martin Nordal Petersen, Sarah Renée Ruepp

Technical University of Denmark

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

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Abstract

Reliable connectivity over large distances is one of the main features characterising Low-Power Wide Area Network (LP-WAN) technologies, with Narrowband Internet of Things (NB-IoT) as the most promising one. The advent of such a family of communication standards has attracted attention of the industry, as excellent coverage of LP-WAN potentially enables new opportunities of automation, for instance remote metering or asset tracking. However, telecommunication standardisation bodies are still lacking accurate models of signal attenuation in deep-indoor environments. This work attempts to address this gap by presenting experimental measurements on NB-IoT deep-indoor signal attenuation. The results indicate the differences in signal propagation between underground and above-ground indoor scenarios.

Original language	English
Title of host publication	Proceedings of 2019 IEEE 90th Vehicular Technology Conference
Number of pages	5
Publisher	IEEE
Publication date	2019
Article number	8891414
ISBN (Print)	9781728112206
DOIs	https://doi.org/10.1109/vtcfall.2019.8891414
Publication status	Published - 2019
Event	2019 IEEE 90th Vehicular Technology Conference - Waikiki Beach Marriott Resort & Spa, Honolulu, United States Duration: 22 Sept 2019 → 25 Sept 2019 Conference number: 90 http://www.ieeevtc.org/vtc2019fall/

Conference

Conference	2019 IEEE 90th Vehicular Technology Conference
Number	90
Location	Waikiki Beach Marriott Resort & Spa
Country/Territory	United States
City	Honolulu
Period	22/09/2019 → 25/09/2019
Internet address	http://www.ieeevtc.org/vtc2019fall/

Keywords

Deep indoor
NB-IoT
Path loss
Signal propagation

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10.1109/vtcfall.2019.8891414

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@inproceedings{59100d04a10543fa9d97b88947c5aeb1,

title = "Investigation of deep indoor NB-IoT propagation attenuation",

abstract = "Reliable connectivity over large distances is one of the main features characterising Low-Power Wide Area Network (LP-WAN) technologies, with Narrowband Internet of Things (NB-IoT) as the most promising one. The advent of such a family of communication standards has attracted attention of the industry, as excellent coverage of LP-WAN potentially enables new opportunities of automation, for instance remote metering or asset tracking. However, telecommunication standardisation bodies are still lacking accurate models of signal attenuation in deep-indoor environments. This work attempts to address this gap by presenting experimental measurements on NB-IoT deep-indoor signal attenuation. The results indicate the differences in signal propagation between underground and above-ground indoor scenarios.",

keywords = "Deep indoor, NB-IoT, Path loss, Signal propagation",

author = "Malarski, {Krzysztof Mateusz} and Jakob Thrane and Bech, {Markus Greve} and Kamil Macheta and Christiansen, {Henrik Lehrmann} and Petersen, {Martin Nordal} and Ruepp, {Sarah Ren{\'e}e}",

year = "2019",

doi = "10.1109/vtcfall.2019.8891414",

language = "English",

isbn = "9781728112206 ",

booktitle = "Proceedings of 2019 IEEE 90th Vehicular Technology Conference",

publisher = "IEEE",

address = "United States",

note = "2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall ; Conference date: 22-09-2019 Through 25-09-2019",

url = "http://www.ieeevtc.org/vtc2019fall/",

}

Malarski, KM, Thrane, J, Bech, MG, Macheta, K, Christiansen, HL, Petersen, MN & Ruepp, SR 2019, Investigation of deep indoor NB-IoT propagation attenuation. in Proceedings of 2019 IEEE 90th Vehicular Technology Conference., 8891414, IEEE, 2019 IEEE 90th Vehicular Technology Conference, Honolulu, Hawaii, United States, 22/09/2019. https://doi.org/10.1109/vtcfall.2019.8891414

TY - GEN

T1 - Investigation of deep indoor NB-IoT propagation attenuation

AU - Malarski, Krzysztof Mateusz

AU - Thrane, Jakob

AU - Bech, Markus Greve

AU - Macheta, Kamil

AU - Christiansen, Henrik Lehrmann

AU - Petersen, Martin Nordal

AU - Ruepp, Sarah Renée

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PY - 2019

Y1 - 2019

N2 - Reliable connectivity over large distances is one of the main features characterising Low-Power Wide Area Network (LP-WAN) technologies, with Narrowband Internet of Things (NB-IoT) as the most promising one. The advent of such a family of communication standards has attracted attention of the industry, as excellent coverage of LP-WAN potentially enables new opportunities of automation, for instance remote metering or asset tracking. However, telecommunication standardisation bodies are still lacking accurate models of signal attenuation in deep-indoor environments. This work attempts to address this gap by presenting experimental measurements on NB-IoT deep-indoor signal attenuation. The results indicate the differences in signal propagation between underground and above-ground indoor scenarios.

AB - Reliable connectivity over large distances is one of the main features characterising Low-Power Wide Area Network (LP-WAN) technologies, with Narrowband Internet of Things (NB-IoT) as the most promising one. The advent of such a family of communication standards has attracted attention of the industry, as excellent coverage of LP-WAN potentially enables new opportunities of automation, for instance remote metering or asset tracking. However, telecommunication standardisation bodies are still lacking accurate models of signal attenuation in deep-indoor environments. This work attempts to address this gap by presenting experimental measurements on NB-IoT deep-indoor signal attenuation. The results indicate the differences in signal propagation between underground and above-ground indoor scenarios.

KW - Deep indoor

KW - NB-IoT

KW - Path loss

KW - Signal propagation

U2 - 10.1109/vtcfall.2019.8891414

DO - 10.1109/vtcfall.2019.8891414

M3 - Article in proceedings

SN - 9781728112206

BT - Proceedings of 2019 IEEE 90th Vehicular Technology Conference

PB - IEEE

T2 - 2019 IEEE 90th Vehicular Technology Conference

Y2 - 22 September 2019 through 25 September 2019

ER -

Investigation of deep indoor NB-IoT propagation attenuation

Abstract

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Keywords

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