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...