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Statistical evaluation of outdoor-to-indoor office MIMO measurements at 5.2 GHz

In English

Författare

  • Shurjeel Wyne
  • Andreas Molisch
  • Peter Almers
  • Gunnar Eriksson
  • Johan Kåredal
  • Fredrik Tufvesson

Summary, in English

In this paper, we present a statistical evaluation of an outdoor-to-indoor multiple-input multiple-output (MIMO) measurement campaign performed at 5.2 GHz. 159 measurement locations in an office building are analyzed. Our analysis pays special attention to two key assumptions that are widely used in stochastic channel models. An assumption that is used in practically every channel model is that the channel can be represented as a sum of a line-of-sight (LOS) component plus a (possibly correlated) zero-mean complex Gaussian distribution. Our investigation shows that this model does NOT adequately represent our measurement data. Our analysis also highlights the difference between the LOS power factor and the Rician K-factor. We show that the direction-of-arrival (DOA) spectrum depends noticeably on the direction-of-departure (DOD). Therefore, the popular Kronecker model is not applicable, and the more general Weichselberger model should be used

Publiceringsår

2005

Språk

Engelska

Sidor

146-150

Publikation/Tidskrift/Serie

2005 IEEE 61st Vehicular Technology Conference

Volym

1

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Electrical Engineering, Electronic Engineering, Information Engineering

Nyckelord

  • DOA spectrum
  • direction of departure
  • office building
  • multiple-input multiple-output measurement campaign
  • DOD
  • stochastic channel models
  • outdoor-to-indoor office MIMO measurements
  • LOS power factor
  • statistical evaluation
  • line-of-sight component
  • direction-of-arrival spectrum
  • Rician K-factor
  • 5.2 GHz
  • Weichselberger model

Conference name

IEEE Vehicular Technology Conference (VTC2005-spring)

Conference date

2005-05-30 - 2005-06-01

Conference place

Stockholm, Sweden

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 0-7803-8887-9