<div class="csl-bib-body">
<div class="csl-entry">Pasic, F., Pratschner, S., Rupp, M., & Mecklenbräuker, C. (2022). Pilot-Aided Channel Estimation Scheme for NR- V2X Speed Emulation Technique. In <i>2022 56th Annual Asilomar Conference on Signals, Systems, and Computers</i> (pp. 1202–1207). IEEE. https://doi.org/10.1109/IEEECONF56349.2022.10052068</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/177606
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dc.description.abstract
Growing intelligent transportation systems demand a vehicular communication technology that can satisfy high requirements in terms of data rates, latency, reliability and number of connected devices. To evaluate the performance of such communication technology, real-world measurements are required for various channel conditions. Since vehicular measurement campaigns are expensive and time-consuming, a high-mobility environment poses enormous challenges for performance measurements. Using the existing technique of time-stretching the transmit signals, such experiments can be emulated through measurements at a single lower velocity by inducing effects caused by higher velocities. The existing time-stretching technique poses the problem of different channel estimation quality between the time-stretched and the original system. To ensure that the technique gives accurate results in practical systems, we adapt the pilot-based channel estimation scheme within the existing time-stretching technique. Furthermore, we evaluate the proposed channel estimation scheme through simulations and a high-speed vehicular channel measurement campaign at the center frequency of 2.55 GHz.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.subject
5G NR
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dc.subject
channel estimation
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dc.subject
channel measurements
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dc.subject
high-speed train
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dc.subject
NR-V2X
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dc.subject
physical (PHY) layer
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dc.title
Pilot-Aided Channel Estimation Scheme for NR- V2X Speed Emulation Technique
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dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
9781665459068
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dc.description.startpage
1202
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dc.description.endpage
1207
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dc.relation.grantno
880830
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dcterms.dateSubmitted
2022-05-01
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2022 56th Annual Asilomar Conference on Signals, Systems, and Computers