Handling Spontaneous Traffic Variations in 5G+ via Offloading onto mmWave-Capable UAV `Bridges'

TL;DR

This paper explores the use of UAVs as mobile bridges to offload traffic in 5G+ networks, analyzing two schemes with stochastic models to improve congestion management amid urban mmWave propagation challenges.

Contribution

It introduces and evaluates two novel UAV offloading schemes using analytical models, considering urban mmWave propagation and city deployment factors.

Findings

UAV bridges can effectively offload traffic in urban 5G+ scenarios.

Enhanced schemes significantly increase offloading efficiency.

Analytical models accurately predict offloading performance.

Abstract

Unmanned aerial vehicles (UAVs) are increasingly employed for numerous public and civil applications, such as goods delivery, medicine, surveillance, and telecommunications. For the latter, UAVs with onboard communication equipment may help temporarily offload traffic onto the neighboring cells in fifth-generation networks and beyond (5G+). In this paper, we propose and evaluate the use of UAVs traveling over the area of interest to relieve congestion in 5G+ systems under spontaneous traffic fluctuations. To this end, we assess two inherently different offloading schemes, named routed and controlled UAV `bridging'. Using the tools of renewal theory and stochastic geometry, we analytically characterize these schemes in terms of the fraction of traffic demand that can be offloaded onto the UAV `bridge' as our parameter of interest. This framework accounts for the unique features of millimeter-wave (mmWave) radio propagation and city deployment types with potential line-of-sight (LoS) link blockage by buildings. We also introduce enhancements to the proposed schemes that significantly improve the offloading gains. Our findings offer evidence that the UAV `bridges' may be used for efficient traffic offloading in various urban scenarios.