A simple statistical signal loss model for deep underground garage

Huan Cong Nguyen, Lucas Chavarria Gimenez, Istvan Kovacs, Ignacio Rodriguez, Troels Bundgaard Sørensen, Preben Elgaard Mogensen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

4 Citationer (Scopus)
262 Downloads (Pure)

Resumé

In this paper we address the channel modeling aspects for a deep-indoor scenario with extreme coverage conditions in terms of signal losses, namely underground garage areas. We provide an in-depth analysis in terms of path loss (gain) and large scale signal shadowing, and a propose simple propagation model which can be used to predict cellular signal levels in similar deep-indoor scenarios. The proposed frequency-independent floor attenuation factor (FAF) is shown to be in range of 5.2 dB per meter deep.
OriginalsprogEngelsk
Titel2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)
Antal sider5
ForlagIEEE
Publikationsdato21 sep. 2016
ISBN (Elektronisk)978-1-5090-1701-0
DOI
StatusUdgivet - 21 sep. 2016
Begivenhed2016 IEEE 84th Vehicular Technology Conference - Montreal, QC, Canada
Varighed: 18 sep. 201621 sep. 2016

Konference

Konference2016 IEEE 84th Vehicular Technology Conference
LandCanada
ByMontreal, QC
Periode18/09/201621/09/2016

Citer dette

Nguyen, H. C., Gimenez, L. C., Kovacs, I., Rodriguez, I., Sørensen, T. B., & Mogensen, P. E. (2016). A simple statistical signal loss model for deep underground garage. I 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall) IEEE. https://doi.org/10.1109/VTCFall.2016.7880875
Nguyen, Huan Cong ; Gimenez, Lucas Chavarria ; Kovacs, Istvan ; Rodriguez, Ignacio ; Sørensen, Troels Bundgaard ; Mogensen, Preben Elgaard. / A simple statistical signal loss model for deep underground garage. 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall). IEEE, 2016.
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title = "A simple statistical signal loss model for deep underground garage",
abstract = "In this paper we address the channel modeling aspects for a deep-indoor scenario with extreme coverage conditions in terms of signal losses, namely underground garage areas. We provide an in-depth analysis in terms of path loss (gain) and large scale signal shadowing, and a propose simple propagation model which can be used to predict cellular signal levels in similar deep-indoor scenarios. The proposed frequency-independent floor attenuation factor (FAF) is shown to be in range of 5.2 dB per meter deep.",
keywords = "path loss, measurement, propagation model, shadow fading, underground loss",
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Nguyen, HC, Gimenez, LC, Kovacs, I, Rodriguez, I, Sørensen, TB & Mogensen, PE 2016, A simple statistical signal loss model for deep underground garage. i 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall). IEEE, 2016 IEEE 84th Vehicular Technology Conference, Montreal, QC, Canada, 18/09/2016. https://doi.org/10.1109/VTCFall.2016.7880875

A simple statistical signal loss model for deep underground garage. / Nguyen, Huan Cong; Gimenez, Lucas Chavarria; Kovacs, Istvan; Rodriguez, Ignacio; Sørensen, Troels Bundgaard; Mogensen, Preben Elgaard.

2016 IEEE 84th Vehicular Technology Conference (VTC-Fall). IEEE, 2016.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Rodriguez, Ignacio

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AU - Mogensen, Preben Elgaard

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AB - In this paper we address the channel modeling aspects for a deep-indoor scenario with extreme coverage conditions in terms of signal losses, namely underground garage areas. We provide an in-depth analysis in terms of path loss (gain) and large scale signal shadowing, and a propose simple propagation model which can be used to predict cellular signal levels in similar deep-indoor scenarios. The proposed frequency-independent floor attenuation factor (FAF) is shown to be in range of 5.2 dB per meter deep.

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KW - measurement

KW - propagation model

KW - shadow fading

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Nguyen HC, Gimenez LC, Kovacs I, Rodriguez I, Sørensen TB, Mogensen PE. A simple statistical signal loss model for deep underground garage. I 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall). IEEE. 2016 https://doi.org/10.1109/VTCFall.2016.7880875