Traffic Demand Matching-based Dynamic Resource Allocation Algorithm for Multi-Beam Satellite Systems

Multi-beam satellite communication systems have received a lot of attentions due to their high throughout and resources utilization. In this paper, we study the problem of user grouping and resource allocation in multi-beam satellite communication systems, and propose a two-stage resource management scheme. Addressing dynamic and diverse user service requirements, we first propose a Voronoi diagram-based iterative user grouping algorithm to achieve load balancing among groups. Then, we formulate the subchannel and power allocation problem as a system average utility function maximization problem. To solve the problem, we regard each beam as an agent, and propose a multi-agent deep Q-network (DQN)-based algorithm. Simulation results demonstrate the effectiveness and superiority of the proposed algorithms.