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Interference-Graph-Aided Multi-Agent Reinforcement Learning for Beam Hopping LEO Satellite Networks
Beam hopping technology enables LEO satellites to dynamically switch beam coverage positions, providing flexible resource allocation for non-uniformly distributed traffic demands. However, the severe spatial interference coupling among beams makes coordinated scheduling challenging. To address this
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