Approximating Clustered Millimeter Wave Vehicular Channels by Sparse Subband Fitting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU136227" target="_blank" >RIV/00216305:26220/18:PU136227 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Approximating Clustered Millimeter Wave Vehicular Channels by Sparse Subband Fitting
Original language description
Understanding millimeter wave (mmWave) vehicular channels is crucial for the application of mmWave technologies in vehicle-to-anything settings. However, as of yet, few attempts of low-complexity approximation of such channels exist. Prior results have shown that such channels are often composed of clustered multipath components, and this work builds on those results. We present an approach to project a measured mmWave channel into subbands. Sufficiently narrow subbands do not resolve the cluster structures and are efficiently approximated as sparse channels. We thereby render sparse tapped delay line model fits possible. In this contribution, we optimize sparse fits in subbands, and then combine all fits to approximate the full band. We evaluate this approach using vehicular mmWave channel measurements, and demonstrate that subband fitting results in efficient leveraging of sparse structures of mmWave channel data.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
ISBN
978-1-5386-6009-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
91-95
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Bologna
Event date
Sep 9, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000457761900236

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