Line-of-Sight Probability in Urban Environments Representing Deterministic Grids

This article proposes a line-of-sight (LoS) probability model based on geometric analysis of deterministic urban grids, assuming uniformly distributed antenna positions. The model can be adjusted with geometric parameters such as street width, building width, and building height, enabling its application in various environments. Antenna height is applicable from ground level to sky level, and Monte Carlo simulation results closely align with the proposed model. Comparisons between the proposed model and simulations using actual 3-D geographic information system (GIS) data of urban environments are also presented, indicating that even in realistic environments, adjusting environmental parameters related to building density and height yields similar results. It includes separate models for specific directions and a random direction, allowing for applications in both site-specific and site-general scenarios. These features facilitate simultaneous simulations for various wireless service deployment scenarios across multiple services in urban environments.

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Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2024-12-13
DOI
https://doi.org/10.1109/tap.2024.3513540
Citations
1
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.21

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article

Line-of-Sight Probability in Urban Environments Representing Deterministic Grids

Seungkeun Park, Kyung‐Won Kim, Hyeyeon Kwon
1 citations
IEEE Transactions on Antennas and Propagation
Vehicular Ad Hoc Networks (VANETs)
0.21
article

Line-of-Sight Probability in Urban Environments Representing Deterministic Grids

Seungkeun Park, Kyung‐Won Kim, Hyeyeon Kwon
article en
1 citations

Abstract

This article proposes a line-of-sight (LoS) probability model based on geometric analysis of deterministic urban grids, assuming uniformly distributed antenna positions. The model can be adjusted with geometric parameters such as street width, building width, and building height, enabling its application in various environments. Antenna height is applicable from ground level to sky level, and Monte Carlo simulation results closely align with the proposed model. Comparisons between the proposed model and simulations using actual 3-D geographic information system (GIS) data of urban environments are also presented, indicating that even in realistic environments, adjusting environmental parameters related to building density and height yields similar results. It includes separate models for specific directions and a random direction, allowing for applications in both site-specific and site-general scenarios. These features facilitate simultaneous simulations for various wireless service deployment scenarios across multiple services in urban environments.

IEEE Transactions on Antennas and PropagationVol. 73(3)
Electronics and Telecommunications Research Institute (KR)
Institute for Information and Communications Technology Promotion
Sustainable cities and communities
Openalex Percentile: Top 45%
Vehicular Ad Hoc Networks (VANETs)
0.21
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Line-of-Sight Probability in Urban Environments Representing Deterministic Grids — Seungkeun Park, Kyung‐Won Kim, et al. · IEEE Transactions on Antennas and Propagation (2024) | TGRS Research Map | TGRS