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Our paper entitled "Mobile Cellular-Connected UAVs: Reinforcement Learning for Sky Limits" has been accepted by IEEE GLOBECOM 2020 Workshops: Workshop on Space-Ground Integrated Networks

September 19, 2020

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...

Read more about Our paper entitled "Mobile Cellular-Connected UAVs: Reinforcement Learning for Sky Limits" has been accepted by IEEE GLOBECOM 2020 Workshops: Workshop on Space-Ground Integrated Networks

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August 11, 2020