Simulation of Optimal Allocation Model of Quantum Communication Resources Based on Grey Clustering Algorithm

Compared with classical communication, quantum communication has many advantages, which can realize absolutely safe and efficient information transmission. The research of quantum secure communication started earlier, and the technology gradually matured. At present, it is rapidly developing into networked applications, and has entered the practical and large-scale networking stage. In order to improve the resource utilization rate of the network, an optimal allocation model of quantum communication resources based on grey clustering algorithm is proposed. The author uses the grey dynamic clustering algorithm based on interval grey number to divide users into a group of clusters, and selects a node in each cluster as the cluster head, as the gateway and the relay node within the cluster, and the cluster head as the gateway within the cluster to manage the mobility of local users. It can cluster users, reduce the number of quantum communication links used when forwarding signaling messages, reduce the cost of using resources and improve network throughput. The simulation results show that the grey dynamic clustering algorithm based on interval grey number performs better when the average number of network connections is high. Under the maximum throughput criterion, compared with other schemes, the maximum system transmission rate and. Under the criterion of proportional fairness, the scheme can ensure fairness among users while maintaining relatively high system throughput.