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arXiv · 2307.04498

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

Javad Ebrahimizadeh·Evgenii Vinogradov·Guy A. E. Vandenbosch
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Abstract

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

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Javad Ebrahimizadeh, Evgenii Vinogradov, Guy A. E. Vandenbosch. 2023-07-10. RCS-based Quasi-Deterministic Ray Tracing for Statistical Channel Modeling. https://doi.org/10.1109/tap.2024.3365859

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