Resource and Placement Optimization for Multiple UAVs using Backhaul Tethered Balloons

TL;DR

This paper proposes an optimization framework for UAVs and tethered balloons to maximize end-to-end data rates in infrastructure-less networks, involving association, power, and placement strategies.

Contribution

It introduces a comprehensive optimization approach combining association, power control, and placement for UAVs and tethered balloons to enhance network throughput.

Findings

Optimized UAV association and power control improve data rates.

Efficient placement algorithm enhances network performance.

Numerical results demonstrate the scheme's advantages.

Abstract

This paper studies the improvement of the achievable end-to-end data rate of ground users assisted with unmanned aerial vehicles (UAVs) and tethered balloons (TBs). The goal is to maximize the end-to-end throughput of a network suffering from the absence of terrestrial infrastructure. First, we solve an integer linear programming problem to optimize the associations. Then, we solve the UAVs transmit powers optimally by converting the problem into a convex one. Subsequently, an efficient algorithm is proposed to optimize the UAVs placement. Finally, our mathematical formalism is illustrated with some selected numerical results that show the advantages provided by our proposed scheme.