학술논문

Line of Sight Probability Prediction for UAV Communication
Document Type
Conference
Source
2021 IEEE International Conference on Communications Workshops (ICC Workshops) Communications Workshops (ICC Workshops), 2021 IEEE International Conference on. :1-6 Jun, 2021
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Monte Carlo methods
Conferences
Urban areas
Buildings
Receivers
Probability
Predictive models
UAV
Drones
Unmanned Aerial Vehicles
Aerial Base Stations
Channel modelling
Probability of line of sight
Language
ISSN
2694-2941
Abstract
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.