基于匹配理论的异构多星波束资源调度算法OA

Satellite communication has become a critical component within 6G architecture.Compared to single-system architectures,the heterogeneous satellite network composed of multi-system communication systems integrates the advantages of diverse satellite technologies,exhibiting superior adaptability to dynamic scenarios,enhanced anti-jamming capabilities,and improved spectral efficiency.To address the shortcomings of single-system architectures in terms of coverage and resource utilization,a multi-system heterogeneous satellite constellation has been constructed,integrating Ka-band broadband,L-band narrowband,and S/C/Ka-band New Radio(NR)air interfaces.By holistically considering constraints such as multi-system user access and beam resource scheduling,an optimization problem aimed at maximizing aggregate throughput for terrestrial user groups is formulated.A distributed matching algorithm based on load balancing is proposed to achieve efficient joint scheduling of heterogeneous satellite beam resources.Compared with traditional independent scheduling algorithms,the proposed algorithm improves system throughput by over 40％and successfully achieves balanced traffic distribution across cells.Simulation results demonstrate that this approach offers significant advantages in enhancing throughput and realizing traffic load balancing.