Stochastic Geometry Analysis of Hybrid Aerial Terrestrial Networks with mmWave Backhauling

TL;DR

This paper uses stochastic geometry to analyze how millimeter-wave backhauling affects the performance of hybrid aerial-terrestrial networks with UAVs, highlighting the importance of backhaul link quality for user coverage.

Contribution

It introduces a stochastic geometry model for UAV-assisted networks with mmWave backhaul, providing insights into coverage probability and deployment strategies.

Findings

UAV backhaul link quality significantly impacts user coverage.

Optimal UAV deployment depends on backhaul link conditions.

Model validated with simulations showing realistic performance insights.

Abstract

To meet increasing data demands, service providers are considering the use of Unmanned aerial vehicles (UAVs) for delivering connectivity as aerial base stations (BSs). UAVs are especially important to provide connectivity in case of disasters and accidents which may cripple completely the existing terrestrial networks. However, in order to maintain the communication of UAVs with the core network, it is essential to provide them with wireless backhaul connection to terrestrial BSs. In this work, we use stochastic geometry to study the impact of millimeter-wave (mmWave) backhauling of UAVs in a hybrid aerial-terrestrial cellular network where the UAVs are added to assist terrestrial BSs in delivering reliable service to users (UEs). In the proposed model, the UE can associate to either a terrestrial BS or a UAV connected to a BS to get backhaul support. The performance of the proposed model is evaluated in terms of coverage probability and validated against intensive simulations. The obtained results unveil that the quality of the UAVs' mmWave backhaul link has a significant impact on the UE 's experience and the deployment of UAVs must be adjusted accordingly.