Research On Resource Allocation Strategy For GEO Relay System

In recent years,due to the advancement of information technology and wireless communication technology,terrestrial communication networks have developed rapidly.With the fifth-generation mobile communication technology having been officially commercialized,in order to extend the coverage of existing terrestrial communication networks and achieve ubiquitous global network coverage,academia and industry have launched the exploration and research of satellite communication networks.Satellite communication networks,which play an irreplaceable role in the fields of communication,navigation and remote sensing,are an important part of the integrated information network between heaven and earth and the key infrastructure of the next generation of mobile communication technology,with broad application prospects and a very high national strategic position,and have become the embodiment of the comprehensive national power of each country and the focus of competition.With the advancement of rocket launch technology and satellite payload technology,the number of satellites operating in orbit has increased dramatically,among which low Earth orbit satellites are widely used in various fields for their low launch cost,short launch cycle and wide coverage.Currently,the amount of data generated by satellites each year already exceeds the amount of data that can be transmitted by satellite downlinks,and the exponential growth of satellite data makes the traditional transparent forwarding no longer suitable for the development of current satellite communication networks.Meanwhile,LEO satellites have limited communication time with the ground station and cannot transmit the acquired orbital data(e.g.remote sensing images)to the ground station in time.Geosynchronous Earth Orbit(GEO)satellites,with their special orbital characteristics,provide data relay forwarding services for LEO satellite networks as an effective solution is proposed.However,the satellite relay system composed of GEO and LEO satellite networks is a typical resource-constrained system.GEO satellites have extremely limited spectrum,computing,power and storage resources,also the high orbital altitude of GEO satellites results in large transmission delays.In order to improve the energy efficiency of the GEO satellite relay system,resource utilization and reduce the delay of forwarding tasks,it is important to study the resource management problem for the GEO satellite relay system.In this paper,aiming at different remote sensing task scenarios,the resource allocation problem of the satellite relay system composed of GEO satellite and LEO satellites network are studied,the main research contents are as follows.(1)Research on the aggregated allocation strategy of computing and communication resources for the GEO satellite relay system.For the processing-forwarding task scenarios,GEO satellites are capable of providing both computing and communication services.Reduce data transmission by processing remote sensing task data from LEO satellites.Modeling the resource management problem,i.e.,pricing of computing and communication resources for GEO satellites,demanding of computing and communication resources for LEO satellites,as a hybrid Stankelberg game.In order to speed up the convergence of the Stankelberg game,the model is simplified and a distributed resource management algorithm is proposed to quickly obtain the optimal resource allocation strategy.(2)Research on communication resource allocation problem of the GEO satellite relay system.For the store-forwarding task scenarios,in order to improve the throughput and reduce the transmission delay of the GEO satellite relay system,the communication resource management and data forwarding task scheduling problems of GEO satellite are studied.The communication resource management is modeled as a Stankelberg game,and the task scheduling is modeled as a real-time queuing problem.Two real-time algorithms are proposed,the first one is an adaptive gradient descent algorithm that can determine the pricing of communication resources to provide data forwarding services with low computational complexity,and the second one is a queue jumping algorithm with interruptible tasks to minimize the transmission delay of the GEO satellite relay system.