Research On Call Admission Control Method In Terahertz-based Distributed Satellite Cluster Network

To provide stable and reliable backbone transmission networking services to the space information network(SIN),the concept of distributed satellite cluster network(DSCN)is introduced into SIN.The "decentralized" structure of DSCN requires ultra-high-speed and very low-latency data transmission and interaction capabilities between satellite nodes within the constellation.Terahertz communication technology is an important way to realize high-speed and large-capacity inter-satellite communication,and has become a current research focus.An important way for large-capacity inter-satellite communication,by introducing terahertz channels as communication links in DSCN,the inter-satellite transmission capacity can be greatly improved to meet the broadband network transmission requirements of DSCN.However,with the continuous growth and diversification of user service requirements and user business types in satellite communication networks,space resources are increasingly scarce.For DSCN based on terahertz,the large-scale transmission and scheduling of data will cause the load pressure of inter-satellite links to become greater and greater So that the overload phenomenon will occur and affect the overall data transmission.Therefore,this paper researches the call admission control(CAC)method in the terahertz-based DSCN.The specific research content is as follows:First,this paper established a resource management model to meet the large-capacity data transmission needs of the terahertz-based DSCN.The model used a multi-satellite load optimization algorithm based on proportional fairness,which can expand the system capacity in different data transmission scenarios,laying a foundation for the formulation of CAC strategies.Secondly,this paper combined the application scenarios of the terahertz-based DSCN to complete the construction of the CAC system model in the network,and completed the setting of various performance parameters in the system model.The setting of each performance parameter is completed in the system model.In the terahertz-based DSCN,CAC is restricted by the three constraints of satellite node resources,bandwidth resources and power resources of inter-satellite links.In the system model,three CAC criteria based on resource constraints are designed.Finally,the design of the CAC process is completed,and the CAC strategy in the terahertz-based DSCN is realized.Under the premise of not affecting the performance of the terahertz-based DSCN,satisfy the connection request of users and ensure the quality of service of users in the network.Finally,this paper improves the ant colony algorithm.Combined with the application scenario of the terahertz-based DSCN,a CAC algorithm based on multi-objective ant colony optimization(MOAC-CAC)suitable for the network system is proposed.The implementation and process of the MOAC-CAC algorithm are introduced in detail.The simulation results show that compared with the ant colony algorithm,this algorithm has better optimization of user service quality and network performance when implementing user CAC,compared with the call access control algorithm based on non-dominated sorting genetic algorithm(NSGA-CAC).,this algorithm has stronger convergence capabilities while ensuring the quality of user service,which further verifies the feasibility of the proposed CAC method.