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Author

Cheng Wang

2 papers indexed here

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Sep 2026

MAFRL: A Multi-Agent Flow-Balance Reinforcement Learning Framework for Resource Allocation in LEO Satellite Systems

Low Earth orbit (LEO) satellite systems are expected to deliver ubiquitous broadband connectivity, but their dynamic topology and limited on-board resources challenge beam hopping (BH) scheduling and inter-satellite load balancing. This paper proposes a multi-satellite cooperative BH algorithm based on multi-agent flow...

Sheng-Tong Xie, Cheng Wang, Gao-Feng Cui et al. · 0 citations
Sep 2026

QoS-Aware Resource Allocation in LEO Satellite Networks: A Graph Neural Network Approach

Efficient radio resource allocation is pivotal for maximizing the service capability of Low Earth Orbit (LEO) satellite networks. However, the high mobility of satellites and the rapidly time-varying channel conditions pose significant challenges to traditional resource management schemes. Conventional optimization met...

Wen-Bo Yu, Cheng Wang, Gao-Feng Cui et al. · 0 citations

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