Ellipsoidal Trajectory Optimization for Minimizing Latency and Data Transmission Energy in UAV-Assisted MEC Using Deep Reinforcement Learning

Due to their flexible deployment and movement capability, unmanned aerial vehicles (UAVs) are being utilized as flying mobile edge computing (MEC) platforms, offering real-time computational resources and low-latency data processing for a wide range of applications. This article aims to explore a UA...

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Principais autores:	Rabeya Sadia, Shathee Akter, Seokhoon Yoon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-11-01
coleção:	Applied Sciences
Assuntos:	unmanned aerial vehicle (UAV) mobile edge computing (MEC) task offloading UAV ellipsoidal trajectory deep reinforcement learning user association
Acesso em linha:	https://www.mdpi.com/2076-3417/13/22/12136
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