Mobile Cellular-Connected UAVs: Reinforcement Learning for Sky Limits

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...

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Veröffentlicht in:	arXiv.org 2020-09
Hauptverfasser:	M Mahdi Azari, Arani, Atefeh Hajijamali, Rosas, Fernando
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Energy consumption Machine learning Parameters Unmanned aerial vehicles
Online-Zugang:	Volltext
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