Agility and resilience requirements of future cellular networks may not befully satisfied by terrestrial base stations in cases of unexpected ortemporary events. A promising solution is assisting the cellular network vialow-altitude unmanned aerial vehicles equipped with base stations, i.e.,drone-cells. Although drone-cells provide a quick deployment opportunity asaerial base stations, efficient placement becomes one of the key issues. Inaddition to mobility of the drone-cells in the vertical dimension as well asthe horizontal dimension, the differences between the air-to-ground andterrestrial channels cause the placement of the drone-cells to diverge fromplacement of terrestrial base stations. In this paper, we first highlight theproperties of the dronecell placement problem, and formulate it as a 3-Dplacement problem with the objective of maximizing the revenue of the network.After some mathematical manipulations, we formulate an equivalentquadratically-constrained mixed integer non-linear optimization problem andpropose a computationally efficient numerical solution for this problem. Weverify our analytical derivations with numerical simulations and enrich themwith discussions which could serve as guidelines for researchers, mobilenetwork operators, and policy makers.
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