A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph

Gerhard Steinböck, Anders Karstensen, Pekka Kyösti, Aki Hekkala

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

1 Citation (Scopus)

Resumé

We consider a ray-tracing tool, in particular the
METIS map based model for deterministic simulation of the
channel impulse response. The ray-tracing tool is extended
by adding a geometric stochastic propagation graph to model
additional stochastic paths and the dense multipath components
observed in measurements. The computational complexity of raytracing
typically prohibits the inclusion of the dense multipath
component or limits it to the early part of the impulse response.
Due to computational reasons and for lack of detailed information
is the description of the environment for ray-tracing often very
simplistic, e.g. plain walls and thus neglecting the structures
on the building facades, window frames, window sills, etc.
Thus in measurements there are often additional components
observed that are not captured by these simplistic ray-tracing
implementations. In this contribution we introduce a flexible
concept of a hybrid model that allows to simulate computationally
efficient deterministic paths and the dense multipath components
in a spatially consistent way.
OriginalsprogEngelsk
TitelPersonal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on
Antal sider6
ForlagIEEE
Publikationsdato2016
ISBN (Elektronisk)978-1-5090-3254-9, 978-1-5090-3255-6
DOI
StatusUdgivet - 2016
BegivenhedIEEE 27th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC): 2016 - Valencia Conference Centre, Valencia , Spanien
Varighed: 4 sep. 20168 sep. 2016
http://www.ieee-pimrc.org/index.html

Konference

KonferenceIEEE 27th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)
Lokation Valencia Conference Centre
LandSpanien
ByValencia
Periode04/09/201608/09/2016
Internetadresse
NavnI E E E International Symposium Personal, Indoor and Mobile Radio Communications
ISSN2166-9570

Fingerprint

Ray tracing
Impulse response
Facades
Computational complexity

Citer dette

Steinböck, G., Karstensen, A., Kyösti, P., & Hekkala, A. (2016). A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph. I Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on IEEE. I E E E International Symposium Personal, Indoor and Mobile Radio Communications https://doi.org/10.1109/PIMRC.2016.7794686
Steinböck, Gerhard ; Karstensen, Anders ; Kyösti, Pekka ; Hekkala, Aki. / A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph. Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on. IEEE, 2016. (I E E E International Symposium Personal, Indoor and Mobile Radio Communications).
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title = "A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph",
abstract = "We consider a ray-tracing tool, in particular theMETIS map based model for deterministic simulation of thechannel impulse response. The ray-tracing tool is extendedby adding a geometric stochastic propagation graph to modeladditional stochastic paths and the dense multipath componentsobserved in measurements. The computational complexity of raytracingtypically prohibits the inclusion of the dense multipathcomponent or limits it to the early part of the impulse response.Due to computational reasons and for lack of detailed informationis the description of the environment for ray-tracing often verysimplistic, e.g. plain walls and thus neglecting the structureson the building facades, window frames, window sills, etc.Thus in measurements there are often additional componentsobserved that are not captured by these simplistic ray-tracingimplementations. In this contribution we introduce a flexibleconcept of a hybrid model that allows to simulate computationallyefficient deterministic paths and the dense multipath componentsin a spatially consistent way.",
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Steinböck, G, Karstensen, A, Kyösti, P & Hekkala, A 2016, A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph. i Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on. IEEE, I E E E International Symposium Personal, Indoor and Mobile Radio Communications, Valencia , Spanien, 04/09/2016. https://doi.org/10.1109/PIMRC.2016.7794686

A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph. / Steinböck, Gerhard; Karstensen, Anders; Kyösti, Pekka; Hekkala, Aki.

Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on. IEEE, 2016. (I E E E International Symposium Personal, Indoor and Mobile Radio Communications).

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

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T1 - A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph

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N2 - We consider a ray-tracing tool, in particular theMETIS map based model for deterministic simulation of thechannel impulse response. The ray-tracing tool is extendedby adding a geometric stochastic propagation graph to modeladditional stochastic paths and the dense multipath componentsobserved in measurements. The computational complexity of raytracingtypically prohibits the inclusion of the dense multipathcomponent or limits it to the early part of the impulse response.Due to computational reasons and for lack of detailed informationis the description of the environment for ray-tracing often verysimplistic, e.g. plain walls and thus neglecting the structureson the building facades, window frames, window sills, etc.Thus in measurements there are often additional componentsobserved that are not captured by these simplistic ray-tracingimplementations. In this contribution we introduce a flexibleconcept of a hybrid model that allows to simulate computationallyefficient deterministic paths and the dense multipath componentsin a spatially consistent way.

AB - We consider a ray-tracing tool, in particular theMETIS map based model for deterministic simulation of thechannel impulse response. The ray-tracing tool is extendedby adding a geometric stochastic propagation graph to modeladditional stochastic paths and the dense multipath componentsobserved in measurements. The computational complexity of raytracingtypically prohibits the inclusion of the dense multipathcomponent or limits it to the early part of the impulse response.Due to computational reasons and for lack of detailed informationis the description of the environment for ray-tracing often verysimplistic, e.g. plain walls and thus neglecting the structureson the building facades, window frames, window sills, etc.Thus in measurements there are often additional componentsobserved that are not captured by these simplistic ray-tracingimplementations. In this contribution we introduce a flexibleconcept of a hybrid model that allows to simulate computationallyefficient deterministic paths and the dense multipath componentsin a spatially consistent way.

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Steinböck G, Karstensen A, Kyösti P, Hekkala A. A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph. I Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on. IEEE. 2016. (I E E E International Symposium Personal, Indoor and Mobile Radio Communications). https://doi.org/10.1109/PIMRC.2016.7794686