A Reinforcement Learning Approach for Fair User Coverage Using UAV Mounted Base Stations Under Energy Constraints

A Reinforcement Learning Approach for Fair User Coverage Using UAV Mounted Base Stations Under Energy Constraints

Unmanned Aerial Vehicles (UAVs) are gaining popularity in many aspects of wireless communication systems. UAV-mounted mobile base stations (UAV-BSs) are an effective and cost-efficient solution for providing wireless connectivity where fixed infrastructure is not available or destroyed. However, UAV...

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Bibliographic Details
Main Authors: Hasini Viranga Abeywickrama, Ying He, Eryk Dutkiewicz, Beeshanga Abewardana Jayawickrama, Markus Mueck
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Unmanned aerial vehicles (UAVs)
wireless coverage
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/8982070/

Internet

https://ieeexplore.ieee.org/document/8982070/

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