Design And Implementation Of Resource Adaptation Method For Satellite-Ground Integrated Edge Network

With the development of communication network technology,research on the integration of low-orbit satellite communication network and ground communication network has gradually become a research hotspot.Low-orbit satellites move fast,have short service periods,and have large path losses.Due to the uneven distribution of time and space for ground user tasks,delay-sensitive tasks in hotspots cannot be responded to in a timely manner.In order to solve the above problems,a High Altitude Platform is introduced as a relay node,which can reduce path loss and increase user service time.However,in the Satellite-Ground Integrated Network composed of low-orbit satellites and High Altitude Platforms,the network topology changes frequently,and the joint allocation of two-layer heterogeneous resources in hotspots needs to be solved urgently.Therefore,this paper studies the collaborative resource adaptation,system delay and energy consumption optimization of the same layer and cross-layer nodes in the Satellite-Ground Integrated Network,which is of great significance for improving the resource utilization of the Satellite-Ground Integrated Network.In the Satellite-Ground Integrated Edge Network,the delay-sensitive tasks in hotspots cannot respond in time due to the uneven distribution of user tasks in time and space,and the dynamic changes in network topology caused by the high-speed mobility of low-orbit satellites.In dense user scenarios,The time expansion graph of computing resources and storage resources is constructed,and the delay and energy consumption model of task offloading is constructed in each time slot,and the objective function is constructed through multi-slot accumulation,and then decomposed into resource allocation sub-problems and offloading The decision-making subproblem,the resource allocation sub-problem is allocated according to the delay priority,and the calculation unloading decision sub-problem is solved by simulated annealing algorithm.The paper conducts simulation tests on scenarios such as time delay and energy consumption,location of hot spots,and number of users that can be served in a single time slot and multiple time slots.The proposed algorithm can serve more users while reducing time delay and energy consumption.Further,the paper studies the two-layer MEC and network slicing joint resource scheduling problem in the Satellite-Ground Integrated Edge Network,and constructs a slicing model for computing and communication resources.Based on the optimization goal,a slice resource allocation method based on the genetic annealing algorithm is designed to improve the adaptability and utilization of satellite-to-earth network resources.The paper uses Matlab to simulate scenarios such as the slice utility,the relationship between the number of slices and the delay,and the relationship between the number of users and energy consumption.The proposed algorithm reduces the service delay and energy consumption of users in dense scenes.