Multi-Agent Reinforcement Learning-Based Resource Sharing in Multi-UAV Wireless Networks

This paper investigates the resource sharing problem in a multi-unmanned aerial vehicle (UAV) wireless network by utilizing the multi-agent reinforcement learning (MARL) method. Specifically, the considered multi-UAV system involves two transmission modes, i.e., UAV-to-Device (U2D) mode and UAV-to-N...

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Veröffentlicht in:	IEEE journal on miniaturization for air and space systems 2025, p.1-1
Hauptverfasser:	Zhang, Yaxiu, Luan, Mingan, Chang, Zheng, Hamalainen, Timo
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous aerial vehicles Channel allocation Deep reinforcement learning Heuristic algorithms multi-agent deep reinforcement learning Optimization Quality of service resource allocation Resource management spectrum sharing Throughput Trajectory optimization UAV Wireless networks
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