The FB5 distribution and its application in wireless communication

Konstantinos Mammasis, R.W. Stewart

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Recently, the third generation partnership standards bodies (3GPP/3GPP2) have defined a channel model for multiple input multiple output (MIMO) systems. This model is a 2-dimensional (2D) model where the propagating plane waves are assumed to arrive only from the azimuthal direction and does not include the elevation domain. As a result of this assumption the derived angle of arrival (AoA) distribution is characterized only by the azimuth direction of these waves. In this paper the AoA distribution of multipaths is modeled in a novel 3-dimensional (3D) approach. The Von Mises Fisher (VMF) and Fisher Bingham (FB5) probability density functions (PDF) are used to describe their distribution within the propagation environment in azimuth and co-latitude. More specifically two separate models are proposed. The first model uses a mixture of VMF distributions and the second one uses a mixture of FB5 and VMF distributions. The parameters of the individual cluster of scatterers within the mixture are derived and an estimation of those parameters is achieved using the expectation maximization (EM) algorithm. The two models are compared. The results indicate that both mixture models perform really well. However the FB5 mixture model is proposed because it is more flexible. Both models are validated with the use of MIMO experimental data obtained from a measurement campaign in Germany.
Original languageEnglish
Title of host publicationInternational ITG Workshop on Smart Antennas, 2008
PublisherIEEE
Pages375-381
Number of pages6
ISBN (Print)978-1-4244-1756-8
DOIs
Publication statusPublished - Feb 2008

Keywords

  • 3G mobile communication
  • parameter estimation
  • probability
  • FB5 distribution
  • MIMO systems
  • Von Mises Fisher
  • probability density functions
  • angle of arrival distribution
  • channel model
  • expectation maximization algorithm
  • multiple input multiple output systems
  • wireless communications

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