Energy-Efficiency Optimization of Active Flying-RIS-Assisted Mobile-Edge Computing Networks: A Deep-Reinforcement-Learning Approach

Wei Chen; Yulong Zou; Jia Zhu; Liangsen Zhai

doi:10.1109/jiot.2025.3556246

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Energy-Efficiency Optimization of Active Flying-RIS-Assisted Mobile-Edge Computing Networks: A Deep-Reinforcement-Learning Approach

Wei Chen Yulong Zou Jia Zhu Liangsen Zhai

Year: 2025 Journal: IEEE Internet of Things Journal Vol: 12 (13)Pages: 23563-23576 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jiot.2025.3556246

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Keywords:

Reinforcement learning Computer science Mobile edge computing Edge computing Efficient energy use Enhanced Data Rates for GSM Evolution Artificial intelligence Distributed computing Electrical engineering Engineering

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Age of Information Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Energy-Efficiency Optimization of Active Flying-RIS-Assisted Mobile-Edge Computing Networks: A Deep-Reinforcement-Learning Approach

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