English

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

Networking and Internet Architecture 2025-03-18 v1 Systems and Control Systems and Control

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.

Keywords

Cite

@article{arxiv.2307.04498,
  title  = {RCS-based Quasi-Deterministic Ray Tracing for Statistical Channel Modeling},
  author = {Javad Ebrahimizadeh and Evgenii Vinogradov and Guy A. E. Vandenbosch},
  journal= {arXiv preprint arXiv:2307.04498},
  year   = {2025}
}
R2 v1 2026-06-28T11:25:53.082Z