Extended Road-Aware Line-of-Sight Probability Model for Urban Air Mobility

TL;DR

This paper introduces an enhanced line-of-sight probability model for urban air mobility that accounts for urban topography and ground vehicle dynamics, improving interference prediction accuracy in dense urban environments.

Contribution

The paper presents a novel LOS probability model that incorporates urban topography and dynamic ground vehicle positions, addressing limitations of existing models for UAM communication systems.

Findings

The new model improves interference prediction accuracy in urban settings.

Validation through real-world urban data confirms model reliability.

Simulation results demonstrate better performance over traditional models.

Abstract

As urban air mobility (UAM) emerges as a transformative solution to urban transportation, the demand for robust communication frameworks capable of supporting high-density aerial traffic becomes increasingly critical. An essential area of communications improvement is reliably characterizing and minimizing interference on UAM aircraft from other aircraft and ground vehicles. To achieve this, accurate line-of-sight (LOS) models must be used. In this work, we highlight the limitations of a LOS probability model extensively used in the literature in accurately predicting interference caused by ground vehicles. Then, we introduce a modified probability of LOS model that improves interference prediction by incorporating the urban topography and the dynamic positioning of ground vehicles on streets. Our model's parameters are derived from extensive simulations and validated through real-world urban settings to ensure reliability and applicability.