Efficient implementation of a geometry-based directional model for mobile radio channels

Abstract

For the design and simulation of adaptive antenna systems, realistic and efficient spatial channel models are required. We investigate the so-called "geometry-based stochastic channel model" (GSCM), where the probability density function (PDF) of the location of the scatterers is prescribed. We analyse methods to efficiently implement GSCM, namely by nonuniform weighting of the scattering cross sections, and by combination with purely stochastic approaches. We then present various extensions of the model in urban environments, especially for wave guiding by street canyons.