Optimization and Evaluation of a 3-D Ray Tracing Channel Predictor Individually for Each Propagation Effect

Abstract

For 5G/6G system simulations and radio planning the availability of both accurate and run-time efficient channel predictors is required. This paper presents a 3D ray tracing channel predictor, which takes into account the relevant propagation phenomena like free space propagation, reflection, scattering, diffraction and transmission. The predictor is validated by two types of measurements and the relevance of the various propagation phenomena is analyzed based on predictions in a city using real base station locations and building data. Based on these results an acceleration methodology for the search of reflected paths is derived, which is able to reduce the computation time to 40% compared to the baseline prediction.

Keywords

• 5G
• beamforming
• channel prediction
• pathloss
• ray tracer
• SiMoNe