# A QoS-Oriented Trajectory Optimization in Swarming Unmanned-Aerial-Vehicles Communications

## TL;DR

This paper introduces a new trajectory and resource allocation optimization method for UAV swarms to enhance communication quality, balancing fairness among ground stations through an iterative convex approximation approach.

## Contribution

It presents a novel joint optimization framework for UAV trajectories, power, and scheduling to meet QoS requirements, using successive convex approximation and block coordinate techniques.

## Key findings

- Improved fairness in UAV communication networks.
- Effective iterative algorithm for joint trajectory and resource optimization.
- Enhanced QoS adherence in UAV-based systems.

## Abstract

This letter aims to present a novel approach for unmanned aerial vehicles (UAV)' path planning with respect to certain quality of service requirements. More specifically, we study the max-min fairness problem in an air-to-ground communication system where multiple UAVs and multiple ground stations exist. We jointly optimize the UAVs trajectories and power allocation as well as the user scheduling. To this end, we propose an effective iterative algorithm that relies on the successive convex approximation and the block coordinate decent techniques.