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This paper presents a quasi-deterministic ray tracing (QD-RT) method foranalyzing the propagation of electromagnetic waves in street canyons. Themethod uses a statistical bistatic distribution to model the Radar CrossSection (RCS) of various irregular objects such as cars and pedestrians,instead of relying on exact values as in a deterministic propagation model. Theperformance of the QD-RT method is evaluated by comparing its generated pathloss distributions to those of the deterministic ray tracing (D-RT) model usingthe Two-sample Cramer-von Mises test. The results indicate that the QD-RTmethod generates the same path loss distributions as the D-RT model whileoffering lower complexity. This study suggests that the QD-RT method has thepotential to be used for analyzing complicated scenarios such as street canyonscenarios in mmWave wireless communication systems.

RCS-based Quasi-Deterministic Ray Tracing for Statistical Channel Modeling