A Cluster-Based Analysis of Outdoor-to-Indoor Office MIMO Measurements at 5.2 GHz

In this paper, the authors present a cluster based analysis of an outdoor-to-indoor Multiple-Input Multiple-Output (MIMO) measurement campaign, and extract model parameters for the COST273 channel model. The measurements were performed at 5.2 GHz for 159 measurement locations in an office building. MultiPath Component (MPC) parameters have been extracted for these positions using a high-resolution algorithm. The authors analyze the clustering of MPCs, i.e., grouping together of MPCs with similar DOAs, DODs, and delays. The authors compare cluster identification by visual inspection to automatic identification by the recently proposed algorithm or Czink et al.