arXiv:2604.07264v1 Announce Type: cross
Abstract: Operating LEO mega-constellations requires translating high-level operator intents (“reroute financial traffic away from polar links under 80 ms”) into low-level routing constraints — a task that dema…
arXiv:2604.03562v1 Announce Type: new
Abstract: Adaptive reward design for deep reinforcement learning (DRL) in multi-beam LEO satellite scheduling is motivated by the intuition that regime-aware reward weights should outperform static ones. We system…
arXiv:2604.03774v1 Announce Type: new
Abstract: The adoption of vision-language models (VLMs) for wireless network management is accelerating, yet no systematic understanding exists of where these large foundation models outperform lightweight convolu…