In this letter, a multi-agent hierarchical group-based handover strategy is proposed for low Earth orbit (LEO) satellite networks, leveraging the Ward hierarchical clustering-enhanced dueling double deep Q-network (WHC-D3QN) strategy to reduce signaling overhead and enhance throughput. Specifically, the scheme first cl...
Zi-Qi Zheng, Zheng-Xin Tao, Zhuang Yao et al.· 2026 IEEE/CIC International...· 0 citations
Integrated satellite–aerial networks (ISANs) are emerging as a promising architecture that combines high-throughput inter-satellite transmission with the agility of uncrewed aerial vehicles (UAVs) to support flexible and low-latency traffic delivery. Owing to the inherently uneven traffic distribution in the satellite...
Xintong Li, Feng Wang, Qi Wu et al.· IEEE Transactions on Cogniti...· 0 citations
Multi-agent deep reinforcement learning (MADRL) offers a promising solution for routing in low Earth orbit (LEO) satellite networks. However, large inter-satellite propagation delays lead to severe state information lag in agent interactions, giving rise to decision biases and degraded routing timeliness. To this end,...
Wei-Dan Liu, Tong Liu, Li-Xia Xiao et al.· IEEE Transactions on Cogniti...· 0 citations
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