Line‐of‐sight probability for UAV communications in 3D grid urban streets

Abstract In this letter, the authors present a novel expression for the probability of line‐of‐sight (LoS) between a UAV and ground users situated on a gridded street within urban and dense urban environments. Firstly, this study conducts extensive ray‐tracing simulations, encompassing over 50,000 r...

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Main Authors: Mengan Song, Zhonghua Liang, Yiming Huo, Ren Liu
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Electronics Letters
Subjects:
Online Access:https://doi.org/10.1049/ell2.12979
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author Mengan Song
Zhonghua Liang
Yiming Huo
Ren Liu
author_facet Mengan Song
Zhonghua Liang
Yiming Huo
Ren Liu
author_sort Mengan Song
collection DOAJ
description Abstract In this letter, the authors present a novel expression for the probability of line‐of‐sight (LoS) between a UAV and ground users situated on a gridded street within urban and dense urban environments. Firstly, this study conducts extensive ray‐tracing simulations, encompassing over 50,000 receivers positioned along streets in Brooklyn and Manhattan, respectively. Moreover, the impact of street width on the probability of LoS is investigated, considering three different average widths. By fitting the LoS probability data corresponding to the UAV's elevation angle in two urban environments obtained by simulations, a unified expression representing the relationship between the LoS probability and the UAV's elevation angle is obtained. This obtained LoS probability expression is compared with three existing expressions. The findings presented in this letter can provide some valuable insights for analytical studies on channel modelling between UAVs and ground‐based street users including vehicles.
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spelling doaj.art-55d37453832f4126a1945d07cb0f06002023-10-29T15:08:29ZengWileyElectronics Letters0013-51941350-911X2023-10-015920n/an/a10.1049/ell2.12979Line‐of‐sight probability for UAV communications in 3D grid urban streetsMengan Song0Zhonghua Liang1Yiming Huo2Ren Liu3Chang'an University Xian ChinaChang'an University Xian ChinaUniversity of Victoria Victoria BC CanadaChang'an University Xian ChinaAbstract In this letter, the authors present a novel expression for the probability of line‐of‐sight (LoS) between a UAV and ground users situated on a gridded street within urban and dense urban environments. Firstly, this study conducts extensive ray‐tracing simulations, encompassing over 50,000 receivers positioned along streets in Brooklyn and Manhattan, respectively. Moreover, the impact of street width on the probability of LoS is investigated, considering three different average widths. By fitting the LoS probability data corresponding to the UAV's elevation angle in two urban environments obtained by simulations, a unified expression representing the relationship between the LoS probability and the UAV's elevation angle is obtained. This obtained LoS probability expression is compared with three existing expressions. The findings presented in this letter can provide some valuable insights for analytical studies on channel modelling between UAVs and ground‐based street users including vehicles.https://doi.org/10.1049/ell2.12979commutationprobabilityray tracing
spellingShingle Mengan Song
Zhonghua Liang
Yiming Huo
Ren Liu
Line‐of‐sight probability for UAV communications in 3D grid urban streets
Electronics Letters
commutation
probability
ray tracing
title Line‐of‐sight probability for UAV communications in 3D grid urban streets
title_full Line‐of‐sight probability for UAV communications in 3D grid urban streets
title_fullStr Line‐of‐sight probability for UAV communications in 3D grid urban streets
title_full_unstemmed Line‐of‐sight probability for UAV communications in 3D grid urban streets
title_short Line‐of‐sight probability for UAV communications in 3D grid urban streets
title_sort line of sight probability for uav communications in 3d grid urban streets
topic commutation
probability
ray tracing
url https://doi.org/10.1049/ell2.12979
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AT zhonghualiang lineofsightprobabilityforuavcommunicationsin3dgridurbanstreets
AT yiminghuo lineofsightprobabilityforuavcommunicationsin3dgridurbanstreets
AT renliu lineofsightprobabilityforuavcommunicationsin3dgridurbanstreets