Multi-Agent Deep Reinforcement Learning Based Joint Power Control and Resource Allocation for Uavs Networks

Y. J. Song; Xiaoshuai Li; Xiaoping Jiang; Junan Yang; Hui Liu

doi:10.1109/ainit65432.2025.11035053

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JOURNAL ARTICLE

Multi-Agent Deep Reinforcement Learning Based Joint Power Control and Resource Allocation for Uavs Networks

Y. J. Song Xiaoshuai Li Xiaoping Jiang Junan Yang Hui Liu

Year: 2025 Pages: 114-121

DOI: 10.1109/ainit65432.2025.11035053

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Keywords:

Reinforcement learning Computer science Resource allocation Joint (building) Resource management (computing) Control (management) Power control Artificial intelligence Multi-agent system Distributed computing Power (physics) Computer network Engineering

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Network Time Synchronization Technologies

Physical Sciences → Computer Science → Computer Networks and Communications

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Multi-Agent Deep Reinforcement Learning Based Joint Power Control and Resource Allocation for Uavs Networks

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