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Statistical Modeling of Ultrawideband MIMO Propagation Channel in a Warehouse Environment

Sangodoyin, Seun; Kristem, Vinod; Molisch, Andreas F. LU ; He, Ruisi; Tufvesson, Fredrik LU and Behairy, Hatim Mohammed (2016) In IEEE Transactions on Antennas and Propagation 64(9). p.4049-4063
Abstract

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... (More)

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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Multiple-input multiple-output (MIMO), propagation channel, statistical channel model, ultrawide-band (UWB), Warehouse environment
in
IEEE Transactions on Antennas and Propagation
volume
64
issue
9
pages
15 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • Scopus:84987597670
  • WOS:000384009300031
ISSN
0018-926X
DOI
10.1109/TAP.2016.2583477
language
English
LU publication?
yes
id
58c873d3-b226-4e09-843c-4f7196764e51
date added to LUP
2016-09-30 08:13:02
date last changed
2017-01-01 08:35:34
@article{58c873d3-b226-4e09-843c-4f7196764e51,
  abstract     = {<p>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.</p>},
  articleno    = {7497564},
  author       = {Sangodoyin, Seun and Kristem, Vinod and Molisch, Andreas F. and He, Ruisi and Tufvesson, Fredrik and Behairy, Hatim Mohammed},
  issn         = {0018-926X},
  keyword      = {Multiple-input multiple-output (MIMO),propagation channel,statistical channel model,ultrawide-band (UWB),Warehouse environment},
  language     = {eng},
  month        = {09},
  number       = {9},
  pages        = {4049--4063},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Antennas and Propagation},
  title        = {Statistical Modeling of Ultrawideband MIMO Propagation Channel in a Warehouse Environment},
  url          = {http://dx.doi.org/10.1109/TAP.2016.2583477},
  volume       = {64},
  year         = {2016},
}