Multi-objective Optimization Satellite Resource Allocation Algorithm Based on Game Theory

In order to improve the utilization of resources while improving the throughput of satellite system, a multi-objective optimization resource allocation algorithm based on game theory is proposed for the joint satellite-ground link network of multi-beam high and low orbit satellites. Considering the constraints of satellite maximum bandwidth and power, beam maximum bandwidth, and user minimum rate, a resource allocation model combining bandwidth and power is established based on multi-objective optimization. Based on the constructed system potential function and the mechanism of simulated annealing, the distributed iterative algorithm is improved to realize the joint allocation of bandwidth and power. The simulation results show that the proposed algorithm has more advantages in throughput and resource utilization, and the resource allocation is more equitable.