Detail publikace

Approximating Clustered Millimeter Wave Vehicular Channels by Sparse Subband Fitting

BLAZEK, T. ZÖCHMANN, E. MECKLENBRÄUKER, C.

Originální název

Approximating Clustered Millimeter Wave Vehicular Channels by Sparse Subband Fitting

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

mmWave; Vehicular Channel Models; c-LASSO; Cluster

Autoři

BLAZEK, T.; ZÖCHMANN, E.; MECKLENBRÄUKER, C.

Vydáno

9. 9. 2018

ISBN

978-1-5386-6009-6

Kniha

Proceedings of 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Strany od

91

Strany do

95

Strany počet

5

BibTex

@inproceedings{BUT163616,
  author="Thomas {Blazek} and Erich {Zöchmann} and Christoph {Mecklenbräuker}",
  title="Approximating Clustered Millimeter Wave Vehicular Channels by Sparse Subband Fitting",
  booktitle="Proceedings of  29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)",
  year="2018",
  pages="91--95",
  isbn="978-1-5386-6009-6"
}