Detail publikačního výsledku

Comparative Analysis of Clustering Methods for Power Delay Profile in MMW Bands and In-Vehicle Scenarios

ZÁVORKA, R.; PROKEŠ, A.; VYCHODIL, J.; MIKULÁŠEK, T.; HORKÝ, P.; MECKLENBRÄUKER, C.; CHANDRA, A.; JAN M., K.; ZIÓŁKOWSKI, C.

Originální název

Comparative Analysis of Clustering Methods for Power Delay Profile in MMW Bands and In-Vehicle Scenarios

Anglický název

Comparative Analysis of Clustering Methods for Power Delay Profile in MMW Bands and In-Vehicle Scenarios

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The spatial statistics of radio wave propagation in specific environments and scenarios, as well as being able to recognize important signal components, are prerequisites for dependable connectivity. There are several reasons why in-vehicle communication is unique, including safety considerations and vehicle-to-vehicle/infrastructure communication. The paper examines the characteristics of clustering power delay profiles to investigate in-vehicle communication. It has been demonstrated that the Saleh-Valenzuela channel model can also be adapted for in-vehicle communication, and that the signal is received in clusters with exponential decay. A measurement campaign was conducted, capturing the power delay profile inside the vehicle cabin, and the reweighted l1 minimization method was compared with the traditional k-means clustering techniques.

Anglický abstrakt

The spatial statistics of radio wave propagation in specific environments and scenarios, as well as being able to recognize important signal components, are prerequisites for dependable connectivity. There are several reasons why in-vehicle communication is unique, including safety considerations and vehicle-to-vehicle/infrastructure communication. The paper examines the characteristics of clustering power delay profiles to investigate in-vehicle communication. It has been demonstrated that the Saleh-Valenzuela channel model can also be adapted for in-vehicle communication, and that the signal is received in clusters with exponential decay. A measurement campaign was conducted, capturing the power delay profile inside the vehicle cabin, and the reweighted l1 minimization method was compared with the traditional k-means clustering techniques.

Klíčová slova

millimeter-waves; in-vehicle communication; clusters, k-means, reweighted l1 minimization

Klíčová slova v angličtině

millimeter-waves; in-vehicle communication; clusters, k-means, reweighted l1 minimization

Autoři

ZÁVORKA, R.; PROKEŠ, A.; VYCHODIL, J.; MIKULÁŠEK, T.; HORKÝ, P.; MECKLENBRÄUKER, C.; CHANDRA, A.; JAN M., K.; ZIÓŁKOWSKI, C.

Rok RIV

2025

Vydáno

19.12.2023

Nakladatel

Institute of Electrical and Electronics Engineers Inc.

Místo

Genoa, Italy

ISBN

979-8-3503-2304-7

Kniha

2023 IEEE Conference on Antenna Measurements and Applications (CAMA)

Strany od

260

Strany do

265

Strany počet

6

URL

https://ieeexplore.ieee.org/document/10352767

BibTex

@inproceedings{BUT185397,
  author="Radek {Závorka} and Aleš {Prokeš} and Josef {Vychodil} and Tomáš {Mikulášek} and Petr {Horký} and Christoph {Mecklenbräuker} and Aniruddha {Chandra} and Jan M. {Kelner} and Cezary {Ziółkowski}",
  title="Comparative Analysis of Clustering Methods for Power Delay Profile in MMW Bands and In-Vehicle Scenarios",
  booktitle="2023 IEEE Conference on Antenna Measurements and Applications (CAMA)",
  year="2023",
  pages="260--265",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  address="Genoa, Italy",
  doi="10.1109/CAMA57522.2023.10352767",
  isbn="979-8-3503-2304-7",
  url="https://ieeexplore.ieee.org/document/10352767"
}