Beam Hopping and Power Allocation Method for Multi-Beam Satellite System Based on Heterogeneous Graph

Beam hopping and power allocation are key issues in Multi-Beam Satellite (MBS) systems. However, existing research could not effectively simulate the dynamics of satellite systems and reduce the problem scale. Therefore, this paper proposes a beam hopping and power allocation method based on heterogeneous graphs, aiming to optimize the utilization of resources and traffic throughput in MBS with minimal consumption. First, we construct a heterogeneous graph model to represent the satellite system, where nodes represent illumination cells and satellite beams, and edges represent communication links between beams and illumination cells. Then, the beam hopping and power allocation problem is modeled as a Markov Decision Process (MDP) and extended to a heterogeneous graph-based dynamic beam pattern and power allocation model (HGBP). Finally, the results of simulation experiments prove that compared to the benchmark algorithm, the proposed HGBP can effectively improve system throughput and energy efficiency.