Aiding the ground cellular network with aerial base stations carried by drones has experienced an intensive raise of interest in the past years. Reconfigurable air-to-ground channels enable aerial stations to enhance usersā access links by means of seeking good line-of-sight connectivity while hovering in the air. In this article, we propose an analytical framework for the 3D placement of a fleet of coordinated drone relays. This framework
optimizes network performance in terms of user throughput fairness, expressed through the š¼-fairness metric. The optimization problem is formulated as a mixed-integer non-convex program, which is intractable. Hence,
we propose an extremal-optimization-based algorithm, Parallelized Alpha-fair Drone Deployment (PADD), which
solves the problem online, in low-degree polynomial time. We evaluate our proposal by means of numerical simulations over the real topology of a dense city. We discuss the advantages of integrating drone relay stations
in current networks and test several resource scheduling approaches in both static and dynamic scenarios,
including with progressively larger and denser crowds.
