面向干扰管控的多星协同波束资源调度方法OA

Resource management has become more difficult due to the increased co-frequency interference between beams caused by the dense deployment of low earth orbit(LEO)satellite constellations.This work presents a multi-satellite collaborative beam resource optimization method to resolve the conflict between limited onboard satellite resources and uneven traffic distribution.The technique successfully suppresses interference and achieves efficient utilization of idle resources through intelligent power reallocation and coordi-nated satellite scheduling,enhancing system capacity and service satisfaction.First,a model of inter-beam interference between mul-tiple satellites is developed.Additionally,a hierarchical collaborative beam resource scheduling architecture is built.The beam schedul-ing problem is thoroughly optimized by utilizing intersatellite information sharing,geographic isolation limitations,and load balancing techniques.This efficiently suppresses interference and improves system capacity and load balance.Lastly,a power reallocation model based on beam shutdown is proposed to address the beam oversaturation problem in high-latitude regions.A hybrid technique that com-bines simulated annealing and improved particle swarm optimization is employed to solve the problem.The usefulness and efficiency of the proposed method are confirmed by the simulation results.