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A new connectivity model for unmanned aerial vehicle communications and flying height optimization

Imran Mohammed, Iain B. Collings, Stephen V. Hanly

2023Transactions on Emerging Telecommunications Technologies11 citationsDOIOpen Access PDF

Abstract

Abstract This paper presents a new connectivity model for unmanned aerial vehicle (UAV) communications. We present closed‐form formulas for the probability of line‐of‐sight as a function of UAV height and distance to a ground based receiver, based on a two‐dimensional model of building and UAV locations. We show that our formulas exactly match Monte‐Carlo simulated values, whereas the existing approach over‐predicts by a factor of 2 to 3. We use the model to optimize the flying height for a UAV deployed as a mobile base station, where the goal is to maximize the number of possible connected users. We observe that the optimal height has a log‐linear characteristic. We use this to present a closed‐form formula for optimal height. We show that our techniques predict the height within 4% of realistic Monte‐Carlo simulations, and significantly outperform existing approaches which are shown to over‐predict by 40%–50%.

Topics & Concepts

Monte Carlo methodComputer scienceSimulationFunction (biology)Real-time computingMathematicsStatisticsBiologyEvolutionary biologyUAV Applications and OptimizationMillimeter-Wave Propagation and ModelingOpportunistic and Delay-Tolerant Networks
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