On the Interplay Between Energy and Memory Constraints in Optimized UAV Communications

Unmanned Aerial Vehicles (UAVs) are key enablers in many emerging verticals, thanks to their versatility in fulfilling sensing, actuation, and communications tasks. At the same time, their resources are quite constrained so that sophisticated optimization approaches are required to prolong mission lifetime. Current literature mostly focuses on energy constraints, but when UAVs gather high-resolution multimedia signals, memory constraints become critical too. To this end, a lean convex optimization framework is proposed hereby to maximize the acquired/uploaded data, subject to joint energy and memory constraints. Simulation results validate the proposed approach in a realistic 5G scenario.