Correlation-Based Spatial Channel Modeling White Paper
Recently, correlation-based spatial channel models have become popular because of their simple mathematical form and ease of modeling.
Correlation-based spatial channel modeling refers to the use of filtered complex Gaussian noise samples to obtain independent temporal fading sequences. These are spatially correlated with a correlation matrix. A complete Spatio-Temporal fading model is defined by this technique.
Generating Spatially Correlated Channels
Correlation-Based Spatial Channel Models with Narrow Angle Spread
There are two more White Papers in this series available for download: