QoS-Aware Multi-Agent Resource Scheduling for LEO Satellite System

With the advancement of low earth orbit (LEO) satellite communications, direct-to-satellite technology has attracted widespread attention. Due to the constrained onboard resources of LEO satellite, an efficient resource allocation strategy is essential to meet diverse user traffic demands. Furthermore, the spectrum sharing among multi-layer LEO satellites requires effective interference avoidance mechanism to enhance the overall service quality of the satellite system. To achieve efficient resource management in a dual-layer LEO satellite system, we propose a resource allocation strategy based on multi-agent proximal policy optimization (MAPPO). This strategy consists of three steps. Firstly, beam hopping time plan (BHTP) is designed based on a low complexity strategy. Next, the users served in each time slot are selected according to the buffer status. Finally, the MAPPO framework is employed to enable the flexible allocation of bandwidth and power resources. Simulation results demonstrate that the proposed strategy not only satisfies the diverse traffic demands of terminal users but also effectively reduces satellite power consumption.