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  • Research Article
  • Open Access

Mobile Station Spatio-Temporal Multipath Clustering of an Estimated Wideband MIMO Double-Directional Channel of a Small Urban 4.5 GHz Macrocell

  • 1Email author,
  • 1,
  • 2 and
  • 2
EURASIP Journal on Wireless Communications and Networking20092009:804021

https://doi.org/10.1155/2009/804021

  • Received: 2 August 2008
  • Accepted: 5 February 2009
  • Published:

Abstract

Multipath clusters in a wireless channel could act as additional channels for spatial multiplexing MIMO systems. However, identifying them in order to come up with better cluster channel models has been a hurdle due to how they are defined. This paper considers the identification of these clusters at the mobile station through a middle ground approach—combining a globally optimized automatic clustering approach and manual clustering of the physical scatterers. By including the scattering verification in the cluster identification, better insight into their behavior in wireless channels would be known, especially the physical realism and eventually a more satisfactorily accurate cluster channel model could be proposed. The results show that overlapping clusters make up the majority of the observed channel, which stems from automatic clustering, whereas only a few clusters have clear delineation of their dispersion. In addition, it is difficult to judge the physical realism of overlapping clusters. This further points to a need for the physical interpretation and verification of clustering results, which is an initial step taken in this paper. From the identification results, scattering mechanisms of the clusters are presented and also their selected first and second order statistics.

Keywords

  • Mobile Station
  • Wireless Channel
  • Physical Realism
  • MIMO System
  • Good Cluster

Publisher note

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Authors’ Affiliations

(1)
Takada Laboratory, Department of International Development Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1-S6-4, O-okayama, Meguro-ku Tokyo, 152-8550, Japan
(2)
Fujitsu Limited, 5-5 Hikari-no-oka, Yokosuka Kanagawa, 239-0847, Japan

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