Line of Sight Probability Prediction for UAV Communication

被引：5

作者：

Mohammed, Imran ^{[1
]}

Collings, Iain B. ^{[1
]}

Hanly, Stephen, V ^{[1
]}

机构：

[1] Macquarie Univ, Sch Engn, Sydney, NSW, Australia

来源：

2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS) | 2021年

基金：

澳大利亚研究理事会;

关键词：

UAV; Drones; Unmanned Aerial Vehicles; Aerial Base Stations; Channel modelling; Probability of line of sight; UNMANNED AERIAL VEHICLES; BASE STATION; ALTITUDE;

D O I：

10.1109/ICCWorkshops50388.2021.9473740

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an accurate approach to predict the probability of line-of-sight for unmanned aerial vehicle (UAV) communications. We present a new numerical approach to calculate the probability of line-of-sight as a function of UAV height and distance to a ground based receiver, using a two-dimensional model of building and UAV locations. We use this numerical approach to calculate the probability of line-of-sight as a function of elevation angle. We also provide closed-form formulas for the probability of LoS as a function of elevation angle. We show that our approaches predict the probability of line-of-sight more accurately than the existing approaches.

引用

页数：6

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