Researchers have developed a new adaptive multi-objective handover framework for LEO satellite networks utilizing a dueling double deep Q-network (DDQN). This framework is designed to dynamically balance throughput, blocking probability, and switching costs in response to changing network conditions. Simulations indicate that this DDQN-based approach surpasses existing methods, offering up to a 10.3% increase in throughput and maintaining near-zero blocking rates. AI
影响 This research could lead to more efficient satellite communication by optimizing handover processes.
排序理由 This is a research paper published on arXiv detailing a new framework for satellite networks.
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