Publication detail

Position-Specific Statistics of 60 GHz Vehicular Channels During Overtaking

ZÖCHMANN, E. HOFER, M. LERCH, M. PRATSCHNER, S. BERNADO, L. BLUMENSTEIN, J. CABAN, S. SANGODOYIN, S. GROLL, H. ZEMEN, T. PROKEŠ, A. RUPP, M. MOLISCH, A. MECKLENBRÄUKER, C.

Original Title

Position-Specific Statistics of 60 GHz Vehicular Channels During Overtaking

English Title

Position-Specific Statistics of 60 GHz Vehicular Channels During Overtaking

Type

journal article - other

Language

en

Original Abstract

The time-variant vehicle-to-vehicle radio propagation channel in the frequency band from 59.75 to 60.25 GHz has been measured in an urban street in the city center of Vienna, Austria. We have measured a set of 30 vehicle-to-vehicle channel realizations to capture the effect of an overtaking vehicle. Our experiment was designed for characterizing the large-scale fading and the small-scale fading depending on the overtaking vehicle's position. We demonstrate that large overtaking vehicles boost the mean receive power by up to 10 dB. The analysis of the small-scale fading reveals that the two-wave with diffuse power (TWDP) fading model is adequate. By means of the model selection, we demonstrate the regions where the TWDP model is more favorable than the customarily used the Rician fading model. Furthermore, we analyze the time selectivity of our vehicular channel. To precisely define the Doppler and delay resolutions, a multitaper spectral estimator with discrete prolate spheroidal windows is used. The delay and Doppler profiles are inferred from the estimated local scattering function. Spatial filtering by the transmitting horn antenna decreases the delay and Doppler spread values. We observe that the RMS Doppler spread is below one-tenth of the maximum Doppler shift 2f v/c. For example, at 60 GHz, a relative speed of 30 km/h yields a maximum Doppler shift of approximately 3300 Hz. The maximum RMS Doppler spread of all observed vehicles is 450 Hz; the largest observed RMS delay spread is 4 ns.

English abstract

The time-variant vehicle-to-vehicle radio propagation channel in the frequency band from 59.75 to 60.25 GHz has been measured in an urban street in the city center of Vienna, Austria. We have measured a set of 30 vehicle-to-vehicle channel realizations to capture the effect of an overtaking vehicle. Our experiment was designed for characterizing the large-scale fading and the small-scale fading depending on the overtaking vehicle's position. We demonstrate that large overtaking vehicles boost the mean receive power by up to 10 dB. The analysis of the small-scale fading reveals that the two-wave with diffuse power (TWDP) fading model is adequate. By means of the model selection, we demonstrate the regions where the TWDP model is more favorable than the customarily used the Rician fading model. Furthermore, we analyze the time selectivity of our vehicular channel. To precisely define the Doppler and delay resolutions, a multitaper spectral estimator with discrete prolate spheroidal windows is used. The delay and Doppler profiles are inferred from the estimated local scattering function. Spatial filtering by the transmitting horn antenna decreases the delay and Doppler spread values. We observe that the RMS Doppler spread is below one-tenth of the maximum Doppler shift 2f v/c. For example, at 60 GHz, a relative speed of 30 km/h yields a maximum Doppler shift of approximately 3300 Hz. The maximum RMS Doppler spread of all observed vehicles is 450 Hz; the largest observed RMS delay spread is 4 ns.

Keywords

5G mobile communication, automotive engineering, communication channels, fadingchannels, intelligent vehicles, millimeter wave propagation, millimeter wave measurement, multipathchannels, RMS delay spread, RMS Doppler spread, parameter extraction, time-varying channels, two-wavewith diffuse power fading, wireless communication

Released

15.01.2019

Publisher

IEEE

Pages from

14216

Pages to

14232

Pages count

18

URL

Full text in the Digital Library

BibTex


@article{BUT159683,
  author="Erich {Zöchmann} and Markus {Hofer} and Martin {Lerch} and Stefan {Pratschner} and Laura {Bernado} and Jiří {Blumenstein} and Sebastian {Caban} and Seun {Sangodoyin} and Herbert {Groll} and Thomas {Zemen} and Aleš {Prokeš} and Markus {Rupp} and Andreas F. {Molisch} and Christoph {Mecklenbräuker}",
  title="Position-Specific Statistics of 60 GHz Vehicular Channels During Overtaking
",
  annote="The time-variant vehicle-to-vehicle radio propagation channel in the frequency band from 59.75 to 60.25 GHz has been measured in an urban street in the city center of Vienna, Austria. We have measured a set of 30 vehicle-to-vehicle channel realizations to capture the effect of an overtaking vehicle. Our experiment was designed for characterizing the large-scale fading and the small-scale fading depending on the overtaking vehicle's position. We demonstrate that large overtaking vehicles boost the mean receive power by up to 10 dB. The analysis of the small-scale fading reveals that the two-wave with diffuse power (TWDP) fading model is adequate. By means of the model selection, we demonstrate the regions where the TWDP model is more favorable than the customarily used the Rician fading model. Furthermore, we analyze the time selectivity of our vehicular channel. To precisely define the Doppler and delay resolutions, a multitaper spectral estimator with discrete prolate spheroidal windows is used. The delay and Doppler profiles are inferred from the estimated local scattering function. Spatial filtering by the transmitting horn antenna decreases the delay and Doppler spread values. We observe that the RMS Doppler spread is below one-tenth of the maximum Doppler shift 2f v/c. For example, at 60 GHz, a relative speed of 30 km/h yields a maximum Doppler shift of approximately 3300 Hz. The maximum RMS Doppler spread of all observed vehicles is 450 Hz; the largest observed RMS delay spread is 4 ns.",
  address="IEEE",
  chapter="159683",
  doi="10.1109/ACCESS.2019.2893136",
  howpublished="print",
  institution="IEEE",
  number="1",
  volume="7",
  year="2019",
  month="january",
  pages="14216--14232",
  publisher="IEEE",
  type="journal article - other"
}