Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee
Mohammadsaleh Nikooroo, Zdenek Becvar, Omid Esrafilian, David Gesbert

TL;DR
This paper proposes an optimal 3D positioning and power allocation scheme for UAV-based flying base stations with backhaul channel reuse, significantly improving network capacity while guaranteeing user QoS under practical constraints.
Contribution
It introduces a comprehensive optimization framework that jointly considers UAV positioning, power control, and backhaul channel reuse with multiple practical constraints.
Findings
Sum capacity increases by 19%-47% with the proposed method.
The solution effectively balances backhaul and access link performance.
Practical constraints are integrated into the capacity maximization problem.
Abstract
In mobile networks, unmanned aerial vehicles (UAVs) acting as flying base stations (FlyBSs) can effectively improve performance. Nevertheless, such potential improvement requires an efficient positioning of the FlyBS. In this paper, we study the problem of sum downlink capacity maximization in FlyBS-assisted networks with mobile users and with a consideration of wireless backhaul with channel reuse while a minimum required capacity to every user is guaranteed. The problem is formulated under constraints on the FlyBS's flying speed, propulsion power consumption, and transmission power for both of flying and ground base stations. None of the existing solutions maximizing the sum capacity can be applied due to the combination of these practical constraints. This paper pioneers in an inclusion of all these constraints together with backhaul to derive the optimal 3D positions of the FlyBS…
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Taxonomy
TopicsUAV Applications and Optimization · Air Traffic Management and Optimization · Indoor and Outdoor Localization Technologies
MethodsNone · Balanced Selection
