Optimizing UAV Fleets for Prioritized Data Harvesting: A Cross-Layer Approach

The core message of this paper is to develop a cross-layer optimization framework for orchestrating a fleet of MIMO-capable rotary-wing UAVs to efficiently harvest prioritized traffic from a random distribution of MIMO-capable heterogeneous users, by optimizing the beam-forming design, the 3D UAV positioning and trajectory, and the user association/scheduling policy.