Trajectory Optimization for Cooperative Dual-band UAV Swarms

TL;DR

This paper presents a framework for optimizing the trajectories and band assignment of UAV swarms to support delay-tolerant, bandwidth-intensive applications, minimizing total service time through iterative mixed-integer programming.

Contribution

It introduces a novel joint optimization framework for UAV trajectory and band assignment in dual-band UAV swarms for wireless communication support.

Findings

Optimized UAV trajectories reduce total service time.

Dual-band (microwave and millimeter wave) assignment improves communication efficiency.

Iterative solution effectively enhances UAV stop locations.

Abstract

Unmanned aerial vehicles (UAVs) have gained a lot of popularity in diverse wireless communication fields. They can act as high-altitude flying relays to support communications between ground nodes due to their ability to provide line-of-sight links. With the flourishing Internet of Things, several types of new applications are emerging. In this paper, we focus on bandwidth hungry and delay-tolerant applications where multiple pairs of transceivers require the support of UAVs to complete their transmissions. To do so, the UAVs have the possibility to employ two different bands namely the typical microwave and the high-rate millimeter wave bands. In this paper, we develop a generic framework to assign UAVs to supported transceivers and optimize their trajectories such that a weighted function of the total service time is minimized. Taking into account both the communication time needed to relay the message and the flying time of the UAVs, a mixed non-linear programming problem aiming at finding the stops at which the UAVs hover to forward the data to the receivers is formulated. An iterative approach is then developed to solve the problem. First, a mixed linear programming problem is optimally solved to determine the path of each available UAV. Then, a hierarchical iterative search is executed to enhance the UAV stops' locations and reduce the service time. The behavior of the UAVs and the benefits of the proposed framework are showcased for selected scenarios.