Modeling outdoor macrocellular clusters based on 1.9-GHz experimental data

Claude Oestges, Bruno Clerckx

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


This paper presents a stochastic geometry-based model of the multiple-input-multiple-output channel, as seen by the user terminal based on the extraction of cluster parameters from wideband data measured at 1.9 GHz in short-range outdoor macrocellular environments. Clusters are first identified through data visual inspection. Then, a statistical characterization is carried out based on a delay-oriented classification of the clusters. Extraction results show that at each location, six to eight clusters are present, with average cluster delay and azimuth root mean square spreads of about 10-15 ns and 10°-20°, respectively. A cluster-oriented geometry-based model is then developed and validated with measurement results, including spatial correlations for broadside and inline receive antenna configurations.

Original languageEnglish
Pages (from-to)2821-2830
Number of pages10
JournalIEEE Transactions on Vehicular Technology
Issue number5
Publication statusPublished - 2007 Sept


  • Clustering
  • Multiple-input multiple-output (MIMO) channels
  • Radio propagation
  • Suburban areas
  • Urban areas

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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