By embedding quantum bits into satellites,low-orbit quantum satellites enable highly secure communications,thus protecting information from eavesdropping and tampering.Currently,quantum-satellite resources are few,and two decision-making attributes of candidate quantum satellites are prioritized,i.e.,service time and signal strength,to reasonably allocate the existing quantum-satellite resources such that the normal business requirements of end-users are satisfied.In this study,to minimize the interference of X-ray flares,a star-ground quantum-communication-link fading model under the interference of X-ray flares was constructed,and a quantum-satellite resource scheduling strategy based on a hybrid-immunity and simulated-annealing algorithm was proposed by combining the remaining service time of quantum satellites and their signal strengths based on three decision-making attributes,which were used as the objective function of the system model.The results show that the strategy offers better convergence stability and load balancing than the unimproved-immune and simulated-annealing algorithm,thus providing useful reference for the efficient utilization of quantum-satellite resources and the switching of low-orbit quantum satellites under the interference of X-ray flares.
quantum satelliteX-ray flareresource schedulingfitness function
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