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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Bahareh Jafari (22501715) (author)
مؤلفون آخرون:	Mazen Hasna (16904661) (author), Hossein Pishro-Nik (22501718) (author), Nizar Zorba (16888728) (author), Tamer Khattab (16870086) (author), Hamid Saeedi (21399992) (author)
منشور في:	2025
الموضوعات:	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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DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs

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