  Drone base stations can assist cellular networks in a variety of scenarios.
To serve the maximum number of users in an area without apriori user
distribution information, we proposed a two-stage algorithm to find the optimal
deployment of drone base stations. The algorithm involves UTDOA positioning,
coverage control and collision avoidance. To the best of our knowledge, the
concept that uses network-based localization to optimize the deployment of
drone-BSs has not been analyzed in the previous literature. Simulations are
presented showing that the proposed algorithm outperforms random search
algorithm in terms of the maximum number of severed users under the deployment
of drone-BSs they found, with limited user densities.
