The interdependence of cluster parameters in MIMO channel modeling

Novel geometry-based stochastic MIMO channel models like the COST 273 model are using multipath clusters to model the propagation paths of the channel. Recently, we introduced a novel framework to identify and track clusters automatically. MIMO measurements from various scenarios are currently evaluated in several laboratories to parametrize the models. From processing indoor measurements at 2.55 GHz and 5.25 GHz, we found that cluster parameters show significant correlations which have to be considered in the channel models in order to be physically relevant. In detail we observed strong positive correlation between cluster power and the number of paths within a cluster, and between all the cluster spread parameters, while we observe negative correlation between the number of clusters and the cluster spreads.