Statistical Modeling of Ultrawideband MIMO Propagation Channel in a Warehouse Environment

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...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2016-09, Vol.64 (9), p.4049-4063
Main Authors: Sangodoyin, Seun, Kristem, Vinod, Molisch, Andreas F., Ruisi He, Tufvesson, Fredrik, Behairy, Hatim Mohammed
Format: Article
Language:English
Subjects:
Antenna arrays
Antenna measurements
Channel models
Communication Systems
Delays
Electrical Engineering, Electronic Engineering, Information Engineering
Elektroteknik och elektronik
Engineering and Technology
Frequency measurement
Kommunikationssystem
MIMO
Multiple-input multiple-output (MIMO)
Position measurement
propagation channel
statistical channel model
Teknik
ultrawide-band (UWB)
Warehouse environment
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Summary: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.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2016.2583477