fferent interpretation. structure enables also the generation of time varying tap The log-normal (refer to Suzuki) distribution is usually weights for the classical tapped delay line model. interpreted as a shadowing function, which influences The number of Ricean fading channel gains to be gen- the local mean value, the shadowing being dependent on erated is given by the product between the number of the local environment. The proposed distribution has subcarriers, the number of transmit antennas and the a constant mean power for the single scattering for the number of receive ones. Concerning the simulator struc- whole environment, and the variation of the mean of the ture, a noise generator outputs uncorrelated white com- total power stems from the slowly varying scattering plex Gaussian noise sequences, which are fed to parallel between the scatterers as the MT moves. Thus, there is time correlation shaping filters that have identical impulse no need for a shadowing argument to explain the short- responses. The uncorrelated output sequences with the term fading. The resulting parameters from the fitting of desired temporal correlation are fed into a space-fre- the distributions may be interpreted as revealing the quency correlation transformation that is performed for propagation mechanisms. According to [Ande02], the each set of uncorrelated samples. The complex Gaussian long-term fading originates from the same random ele- samples with the desired temporal and spatio-spectral ments as the short-term fading. correlation are added up with complex samples repre- Short-term fading can be generated in a simulation by senting the direct component. Finally, the sequences are using either RT or statistical approaches [TLVD01], interpolated to get to the desired channel sampling rate. [Kunn02]. In statistical modelling, the fading processes Recently, MIMO systems have gained significant at- have given predefined characteristics. Moreover, statistical tention due to the potential of achieving high information approac