Line-of-Sight Probability in Urban Environments Representing Deterministic Grids
This paper 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 applicat...
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| Veröffentlicht in: | IEEE transactions on antennas and propagation 2024-12, p.1-1 |
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| creator | Kim, Kyung-Won Kwon, Hyeyeon Park, Seungkeun |
| description | This paper 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 three-dimensional (3D) 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. |
| doi_str_mv | 10.1109/TAP.2024.3513540 |
| format | Article |
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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 three-dimensional (3D) 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. 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| subjects | 6G channel 6G mobile communication Adaptation models Antennas Buildings cellular network channel cross-link interference channel Data models Directive antennas line-of-sight (LoS) probability non-terrestrial communications sidelink channel Solid modeling Tail Urban areas Wireless communication |
| title | Line-of-Sight Probability in Urban Environments Representing Deterministic Grids |
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