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Statistical Modeling of Ultrawideband MIMO Propagation Channel in a Warehouse Environment

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Author

  • Seun Sangodoyin
  • Vinod Kristem
  • Andreas F. Molisch
  • Ruisi He
  • Fredrik Tufvesson
  • Hatim Mohammed Behairy

Summary, in English

This paper describes an extensive propagation channel measurement campaign in a warehouse environment for line-of-sight (LOS) and nonline-of-sight (NLOS) scenarios. The measurement setup employs a vector network analyzer operating in the 2-8-GHz frequency band combined with an 8×8 virtual multiple-input multiple-output (MIMO) antenna array. We develop a comprehensive statistical propagation channel model based on high-resolution extraction of multipath components and subsequent spatiotemporal clustering analysis. The intracluster direction of departure (DoD), direction of arrival (DoA), and the time of arrival (ToA) are independent, both for the LOS and NLOS scenarios. The intracluster DoD and DoA can be approximated by the Laplace distribution, and the intracluster ToA can be approximated by an exponential mixture distribution. The intercluster analysis, however, shows a dependency between the cluster DoD, DoA, and ToA. To capture this dependency, we separately model the clusters caused by single and multiple bounce scattering along the aisles in the warehouse. The intercluster DoD distribution follows a Laplace distribution, while the cluster DoA conditioned on the DoD is approximated by a Gaussian mixture distribution. The model was validated using the capacity and delay-spread values.

Publishing year

2016-09-01

Language

English

Pages

4049-4063

Publication/Series

IEEE Transactions on Antennas and Propagation

Volume

64

Issue

9

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Communication Systems

Keywords

  • Multiple-input multiple-output (MIMO)
  • propagation channel
  • statistical channel model
  • ultrawide-band (UWB)
  • Warehouse environment

Status

Published

ISBN/ISSN/Other

  • ISSN: 0018-926X