Throughput Analysis of UAV-assisted CellularNetworks by Mat\'{e}rn Hardcore Point Process

TL;DR

This paper develops an analytical model using stochastic geometry to evaluate the throughput of UAV-assisted cellular networks, considering UAV placement constraints and optimizing power control for performance enhancement.

Contribution

It introduces a novel analytical framework employing Matérn hardcore point process for UAV placement and derives expressions for network throughput, aiding in optimal UAV deployment and power control.

Findings

Optimal UAV height and power control maximize data rates.

Power control improves UAV user throughput while maintaining BS user performance.

Analytical expressions enable performance evaluation of UAV-assisted networks.

Abstract

Unmanned aerial vehicles (UAVs) are expected to coexist with conventional terrestrial cellular networks and become an important component to support high rate transmissions. This paper presents an analytical framework for evaluating the throughput performance of a downlink two-tier heterogeneous network. Considering the minimum distance constraint among UAVs, Mat\'{e}rn hardcore point process (MHP) is utilized to model the locations of UAVs. The locations of terrestrial base stations (BSs) are modeled by Poisson point process (PPP). Tools of stochastic geometry are invoked to derive tractable expressions for average data rates of users. With the analytical results, we discuss the optimal combinations of UAVs' height and power control factor. The result shows that an appropriate power control factor can effectively maximize UAV users' average data rate as well as guaranteeing the BS users' performance under our proposed model.