DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs

DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs

<p dir="ltr">Coverage holes pose critical challenges to reliability of wireless networks and their quality of service (QoS) and therefore should be avoided in the coverage design. In this paper, we address this issue through the deployment of unmanned aerial vehicles (UAVs) as mobile...

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Bibliographic Details
Main Author: Bahareh Jafari (22501715) (author)
Other Authors: Mazen Hasna (16904661) (author), Hossein Pishro-Nik (22501718) (author), Nizar Zorba (16888728) (author), Tamer Khattab (16870086) (author), Hamid Saeedi (21399992) (author)
Published: 2025
Subjects:
Engineering
Communications engineering
Control engineering, mechatronics and robotics
Information and computing sciences
Distributed computing and systems software
Machine learning
Coverage hole
QoS
Path planning
UAV
Mechanical energy
Deep reinforcement learning (DRL)
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