A Framework for Automatic Clustering of Parametric MIMO Channel Data Including Path Powers

  title={A Framework for Automatic Clustering of Parametric MIMO Channel Data Including Path Powers},
  author={Nicolai Czink and Pierluigi Cera and Jari Salo and Ernst Bonek and Jukka-Pekka Nuutinen and Juha Ylitalo},
  journal={IEEE Vehicular Technology Conference},
We present a solution to the problem of identifying clusters from MIMO measurement data in a data window, with a minimum of user interaction. Conventionally, visual inspection has been used for the cluster identification. However this approach is impractical for a large amount of measurement data. Moreover, visual methods lack an accurate definition of a "cluster" itself. We introduce a framework that is able to cluster multi-path components (MPCs), decide on the number of clusters, and discard… CONTINUE READING
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Publications referenced by this paper.
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Improving clustering performance by using the multi-path component distance

  • ——
  • IEE Electronics Letters, vol. 42, no. 1, pp. 44…
  • 2006
3 Excerpts

Mobile Broadband Multimedia Networks

  • L. Correia, Ed
  • To be published by Elsevier,
  • 2006
1 Excerpt

MATLAB implementation of the 3GPP spatial channel model (3GPP TR 25.996)

  • J. Salo, G. Del Galdo, +4 authors C. Schneider
  • Online, jan 2005, available: http://www.tkk.fi…
  • 2005
1 Excerpt

Modeling the MIMO propagation channel

  • A. Molisch
  • Belgian Journal of Electronics and Communications…
  • 2003
1 Excerpt

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