Model Order Selection for LASSO Fitted Millimeter Wave Vehicular Channel Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU136226" target="_blank" >RIV/00216305:26220/18:PU136226 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Model Order Selection for LASSO Fitted Millimeter Wave Vehicular Channel Data
Original language description
For analysis of vehicle-to-vehicle (V2V) communications, a firm understanding of the underlying channel is crucial. Through spatial filtering of narrow beams millimeter wave (mmWave) channels become sparse. As accurate channel models are required, without overfitting channel measurements, we investigate the optimal model order given V2V mmWave channel measurements. We use the complex Least Absolute Shrinkage and Selection Operator (LASSO) to find a sparse tapped-delay line representation of the measured channel, and apply the Akaike Information Criterion to find the optimal model order. Beyond this optimal order we start to fit measurement noise. Our results show, that for the given measurements, 4 to 8 taps prove to be an ideal model order.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
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)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
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
80-84
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
000457761900234