Multi-Satellite Cooperative Beam-Hopping Resource Allocation based on Interference Coordination

Facing the future 6G space-air-ground integrated scenario, aiming at the joint optimization problem of dynamic request and inter-satellite interference in the cooperative beam hopping system of multi-low earth orbit (LEO) satellites, an interference coordination and multi-satellite cooperative resource allocation for LEO with beam hopping (IC-MSC-RA) scheme is proposed, and a multi-satellite interference coordination based on enhanced simulated annealing algorithm (Enhanced MSIC-SAA) is proposed. The algorithm adopts intelligent perturbation strategy, local search optimization, dynamic temperature control and restart mechanism in the traditional simulated annealing framework, and achieves the dual goals of interference coordination and demand satisfaction by optimizing the energy function design. Simulation results show that under the same number of iterations, the system throughput of the Enhanced MSIC-SAA is improved by 44.16% and 66.37% higher than that of the MSIC-SAA and Particle Swarm Optimization (PSO) algorithms, respectively, when the system demand is 620 Gbit. And under different system demands, the average BSS value of the proposed algorithm is 36.59% and 86.67% higher than that of the two baseline algorithms, respectively.