A 5G Hybrid Channel Model Considering Rays and Geometric Stochastic Propagation Graph

We consider a ray-tracing tool, in particular the
METIS map based model for deterministic simulation of the
channel impulse response. The ray-tracing tool is extended
by adding a geometric stochastic propagation graph to model
additional stochastic paths and the dense multipath components
observed in measurements. The computational complexity of raytracing
typically prohibits the inclusion of the dense multipath
component or limits it to the early part of the impulse response.
Due to computational reasons and for lack of detailed information
is the description of the environment for ray-tracing often very
simplistic, e.g. plain walls and thus neglecting the structures
on the building facades, window frames, window sills, etc.
Thus in measurements there are often additional components
observed that are not captured by these simplistic ray-tracing
implementations. In this contribution we introduce a flexible
concept of a hybrid model that allows to simulate computationally
efficient deterministic paths and the dense multipath components
in a spatially consistent way.