Empirical Line-of-Sight Probability Modeling for UAVs in Random Urban Layouts

Fuente: arXiv
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Main Authors: Saboor, Abdul, Cui, Zhuangzhuang, Vinogradov, Evgenii, Pollin, Sofie
Format: Preprint
Published: 2025
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author Saboor, Abdul
Cui, Zhuangzhuang
Vinogradov, Evgenii
Pollin, Sofie
author_facet Saboor, Abdul
Cui, Zhuangzhuang
Vinogradov, Evgenii
Pollin, Sofie
contents Accurate Probability of Line-of-Sight (PLoS) modeling is important in evaluating the performance of Unmanned Aerial Vehicle (UAV)-based communication systems in urban environments, where real-time communication and low latency are often major requirements. Existing PLoS models often rely on simplified Manhattan grid layouts using International Telecommunication Union (ITU)-defined built-up parameters, which may not reflect the randomness of real cities. Therefore, this paper introduces the Urban LoS Simulator (ULS) to model PLoS for three random city layouts with varying building sizes and shapes constructed using ITU built-up parameters. Based on the ULS simulated data, we obtained the empirical PLoS for four standard urban environments across three different city layouts. Finally, we analyze how well Manhattan grid-based models replicate PLoS results from random and real-world layouts, providing insights into their applicability for time-critical communication systems in urban IoT networks.
format Preprint
id arxiv_https___arxiv_org_abs_2501_14389
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Empirical Line-of-Sight Probability Modeling for UAVs in Random Urban Layouts
Saboor, Abdul
Cui, Zhuangzhuang
Vinogradov, Evgenii
Pollin, Sofie
Networking and Internet Architecture
Accurate Probability of Line-of-Sight (PLoS) modeling is important in evaluating the performance of Unmanned Aerial Vehicle (UAV)-based communication systems in urban environments, where real-time communication and low latency are often major requirements. Existing PLoS models often rely on simplified Manhattan grid layouts using International Telecommunication Union (ITU)-defined built-up parameters, which may not reflect the randomness of real cities. Therefore, this paper introduces the Urban LoS Simulator (ULS) to model PLoS for three random city layouts with varying building sizes and shapes constructed using ITU built-up parameters. Based on the ULS simulated data, we obtained the empirical PLoS for four standard urban environments across three different city layouts. Finally, we analyze how well Manhattan grid-based models replicate PLoS results from random and real-world layouts, providing insights into their applicability for time-critical communication systems in urban IoT networks.
title Empirical Line-of-Sight Probability Modeling for UAVs in Random Urban Layouts
topic Networking and Internet Architecture
url https://arxiv.org/abs/2501.14389