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Aiding the ground cellular network with aerial base stations carried bydrones has experienced an intensive raise of interest in the past years.Reconfigurable air-to-ground channels enable aerial stations to enhance usersaccess links by means of seeking good line-of-sight connectivity while hoveringin the air. In this paper, we propose an analytical framework for the 3Dplacement of a fleet of coordinated drone relays. This framework optimizesnetwork performance in terms of user throughput fairness, expressed through the{\alpha}-fairness metric. The optimization problem is formulated as amixed-integer non-convex program, which is intractable. Hence, we propose anextremal-optimization-based algorithm, Parallelized Alpha-fair DroneDeployment, that solves the problem online, in low-degree polynomial time. Weevaluate our proposal by means of numerical simulations over the real topologyof a dense city. We discuss the advantages of integrating drone relay stationsin current networks and test several resource scheduling approaches in bothstatic and dynamic scenarios, including with progressively larger and densercrowds.

Fair Throughput Optimization with a Dynamic Network of Drone Relays