M. Mahdi Azari , Atefeh Hajijamali Arani, Fernando Rosas
Abstract—A cellular-connected unmanned aerial vehicle (UAV) faces several key challenges concerning connectivity and energy efficiency. Through a learning-based strategy, we propose a general novel multi-armed bandit (MAB) algorithm to reduce disconnectivity time, handover rate, and energy consumption of UAV by taking into account its time of task completion. By formulating the problem as a function of UAV’s velocity, we show how each of these performance...
Session: TS PHY-FUN 08: UAV and Vehicular communications 'Learning in the Sky: Towards Efficient 3D Placement of UAVs' | Atefeh Hajijamali Arani; M. Mahdi Azari; William Melek; Safieddin Safavi Naeini