Large dynamic range prediction of AOA, AOD and PDP for MIMO systems

Current trend in indoor prediction is showing a shift from empirical models to complex deterministic models due to the decreasing computation cost and increasing demand for a wide band prediction that is by empirical model reduced. State-of-art models are usually based on a ray-tracing algorithm with many stochastic features. A combination of physical models with statistics yields significant benefit. A new approach called the motif model suggested by Klepal (see IEEE VTC Fall 2001, Atlantic City, NJ, October 2001) aspires to be such a model. Issues associated with the indoor propagation environment description are highlighted and the principles of the proposed motif model are described. The author then discusses how the new model addresses issues of new technology. Afterwards stochastic model parameters optimization is mentioned and the model performance is assessed. Finally some interesting prediction results of narrow-band and mainly wideband channel parameters are given and compared with measurement.