Abstract

A cluster scattering MIMO channel model is proposed combining advantages of map-based models such as spatial consistency as well as stochastic properties of more general statistical models. The model is constructed by generating clusters based on LOS/NLOS visibility regions and generating stochastic MIMO channel coefficients according to temporal, spatial and spectral correlations between large and small scale fading parameters. Time and frequency sampled version of the channel coefficients are proposed which can be used as computationally effective discrete model for time-varying MIMO channels. The application of the model is illustrated by high-speed train scenario and Manhattan-like grid urban scenario.

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