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Author

Yi-Wei Zhang

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Sep 2026

Deep Reinforcement Learning-Based Service Offloading Optimization in 6G FANETs

6G flying ad-hoc networks (FANETs) are envisioned to effectively enlarge the traditional edge computing coverage. However, the requirements of high energy efficiency and low latency seriously constrain the FANETs performance. In this paper, we investigate a deep reinforcement learning (DRL) scheme for optimizing the se...

Yi-Wei Zhang, Zhi-Jia Zhong, Zhi-Cheng Zhang et al. · 0 citations
Sep 2026

Energy Utilization Maximization for RSMA-Assisted FANETs: A Hierarchical Deep Reinforcement Learning Approach

Flying ad-hoc networks (FANETs) offer great potential in agriculture, logistics, and surveillance due to their flexible deployment. However, high mobility poses significant challenges in energy management. To address this, this study focuses on FANETs using rate-splitting multiple access (RSMA) and proposes a multi-age...

Xin-Yi Yang, Yi-Wei Zhang, Gang He et al. · 0 citations

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