Optimal Deployment of Drone Base Stations for Cellular Communication by Network-based Localization
For cellular network operators, this work addresses the problem of deploying drone base stations in unknown user distributions, but the improvement is incremental and limited to specific scenarios.
The paper proposes a two-stage algorithm for deploying drone base stations to maximize served users without prior user distribution information, using network-based localization. Simulations show it outperforms random search in maximizing served users under limited user densities.
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.