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DC Field
Value
Language
dc.contributor.author
Ramos Elbal, Blanca
-
dc.contributor.author
Müller, Martin Klaus
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dc.contributor.author
Schwarz, Stefan
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dc.contributor.author
Rupp, Markus
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dc.date.accessioned
2022-08-10T12:43:36Z
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dc.date.available
2022-08-10T12:43:36Z
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dc.date.issued
2018
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dc.identifier.citation
<div class="csl-bib-body">
<div class="csl-entry">Ramos Elbal, B., Müller, M. K., Schwarz, S., & Rupp, M. (2018). Coverage-Improvement of V2I Communication Through Car-Relays in Microcellular Urban Networks. In <i>2018 26th European Signal Processing Conference (EUSIPCO)</i>. 26th European Signal Processing Conference (EUSIPCO) 2018, Rom, Italy. VDE Verlag. https://doi.org/10.23919/eusipco.2018.8553216</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/76314
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dc.description.abstract
In this paper, we consider a microcellular urban network, where micro-cells provide a wireless connection to vehicular users. We focus on vehicular relaying to enhance the quality of the V2I link and therefore to improve the overall coverage in the network. To quantify the coverage gain, we compare the performance of direct communication between microcell and vehicular user with the relay-aided communication. In the examined scenario, we create a Manhattan grid of streets
where in each street micro-cell base stations and vehicular users are randomly placed according to a Poisson point process. The employed pathloss distinguishes whether the transmitter is in
the same street as the receiver, in a crossing or in a parallel street. We investigate our model analytically by leveraging tools from stochastic geometry as well as by Monte Carlo system level
simulations. We compare results for the relay-assisted link and the direct link depending on the user density in terms of pathloss, SINR and coverage.
de
dc.description.abstract
In this paper, we consider a microcellular urban network, where micro-cells provide a wireless connection to vehicular users. We focus on vehicular relaying to enhance the quality of the V2I link and therefore to improve the overall coverage in the network. To quantify the coverage gain, we compare the performance of direct communication between microcell and vehicular user with the relay-aided communication. In the examined scenario, we create a Manhattan grid of streets
where in each street micro-cell base stations and vehicular users are randomly placed according to a Poisson point process. The employed pathloss distinguishes whether the transmitter is in
the same street as the receiver, in a crossing or in a parallel street. We investigate our model analytically by leveraging tools from stochastic geometry as well as by Monte Carlo system level
simulations. We compare results for the relay-assisted link and the direct link depending on the user density in terms of pathloss, SINR and coverage.
en
dc.language.iso
en
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dc.publisher
VDE Verlag
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dc.subject
system level simulation
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dc.subject
stochastic geometry
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dc.subject
vehicle-to-vehicle communications
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dc.subject
coverage improvement
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dc.title
Coverage-Improvement of V2I Communication Through Car-Relays in Microcellular Urban Networks
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
2018 26th European Signal Processing Conference (EUSIPCO)
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dc.type.category
Full-Paper Contribution
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dc.publisher.place
Rome, Italy
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tuw.booktitle
2018 26th European Signal Processing Conference (EUSIPCO)