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

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 base stations, and we propos...

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Bibliographic Details

Published in:	IEEE Open Journal of the Communications Society
Main Authors:	Bahareh Jafari, Mazen Hasna, Hossein Pishro-Nik, Nizar Zorba, Tamer Khattab, Hamid Saeedi
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Coverage hole QoS path planning UAV mechanical energy deep reinforcement learning (DRL)
Online Access:	https://ieeexplore.ieee.org/document/10977832/