Publication detail

Approximating Clustered Millimeter Wave Vehicular Channels by Sparse Subband Fitting

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

Original Title

Approximating Clustered Millimeter Wave Vehicular Channels by Sparse Subband Fitting

Type

conference paper

Language

English

Original Abstract

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.

Keywords

mmWave; Vehicular Channel Models; c-LASSO; Cluster

Authors

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

Released

9. 9. 2018

ISBN

978-1-5386-6009-6

Book

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

Pages from

91

Pages to

95

Pages count

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"
}