Coverage Probability Analysis of UAV Cellular Networks in Urban Environments

TL;DR

This paper analyzes the coverage probability of UAV-assisted cellular networks in urban environments, deriving explicit expressions and exploring optimal UAV deployment parameters to enhance network performance.

Contribution

It provides a novel analytical framework for coverage probability in UAV cellular networks considering air-to-ground channels and optimization of UAV deployment.

Findings

Coverage probability depends on UAV height, density, and pathloss.

Explicit formulas for coverage probability under Rayleigh fading.

Optimal UAV height and density improve network coverage.

Abstract

In this paper, we study coverage probabilities of the UAV-assisted cellular network modeled by 2-dimension (2D) Poisson point process. The cellular user is assumed to connect to the nearest aerial base station. We derive the explicit expressions for the downlink coverage probability for the Rayleigh fading channel. Furthermore, we explore the behavior of performance when taking the property of air-to-ground channel into consideration. Our analytical and numerical results show that the coverage probability is affected by UAV height, pathloss exponent and UAV density. To maximize the coverage probability, the optimal height and density of UAVs are studied, which could be beneficial for the UAV deployment design.