Deep Reinforcement Learning for UAV Trajectory Design Considering Mobile Ground Users

A network composed of unmanned aerial vehicles (UAVs), serving as base stations (UAV-BS network), is emerging as a promising component in next-generation communication systems. In the UAV-BS network, the optimal positioning of a UAV-BS is an essential requirement to establish line-of-sight (LoS) lin...

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Principais autores:	Wonseok Lee, Young Jeon, Taejoon Kim, Young-Il Kim
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-12-01
Series:	Sensors
Assuntos:	unmanned aerial vehicles reinforcement learning trajectory optimization
Acceso en liña:	https://www.mdpi.com/1424-8220/21/24/8239
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