Research On Transmission Mechanism And Resource Allocation Method Based On Satellite-terrestrial Collaboration

With the rapid development of terrestrial networks represented by 5G,the network traffic of wireless access networks has shown explosive gro wth,allowing users to enjoy higher-quality and faster Internet access services,which has led to many new business demands and scenes.However,limited by the deployment geological conditions,the terrestrial network cannot effectively cover some remote areas such as oceans and deserts.The terrestrial network has poor survivability and is vulnerable to some emergencies such as natural disaster.At the same time,although the throughput of the terrestrial network has been greatly improve d,but due to the limitations of the backhaul capacity of the terrestrial base station,the terrestrial network will still be congested in the face of gathering activities such as gatherings and sports events.Satellite,as a communication facility that can achieve wide coverage and large access,can solve the above-mentioned problems of terrestrial networks and provide a high-speed network access service that can effectively cover the world and enhance terrestrial networks.Under such circumstances,how to achieve the collaborative and efficient transmission of the satellite-terrestrial network has become crucial.This dissertation mainly studies the problem of collaborative and efficient transmission in the satellite-terrestrial network.In the Low Earth Orbit satellite network,satellites will be deployed on a large scale.There are a large number of terrestrial nodes and satellite nodes in the transmission scenario,how to achieve collaborative and efficient transmission between satellite nodes and terrestrial nodes,and solve the problem of node selection and resource allocation under multiple terrestrial nodes-multiple satellite nodes has become one of the main research contents of this dissertation.This dissertation establishes an optimization problem with the goal of maximizing the transmission rate,proposes an improved matching algorithm to achieve the matching selection of the satellite-terrestrial nodes and combines the matching algorithm with the Lagrangian dual iteration to solve the allocation problem of channel and power resources.Compared with other algorithms,the algorithm proposed in this dissertation achieves good convergence and greatly improves the total transmission rate of the system.In the satellite-terrestrial network,there also exists a common service scenario where satellites and terrestrial base stations serve simultaneously.At this time,satellite network generally provides enhanced services for terrestrial network.How to achieve collaborative transmission between satellite and terrestrial network,and solve the problem of satellite-terrestrial network selection and resource allocation has become another significant research content of this dissertation.This dissertation uses the relevant knowledge of game theory to establish a multi-masters and multi-slaves Stackelberg game with terrestrial users,satellites and terrestrial base stations as players.In order to obtain better service,users are in a competitive relationship with each other,which also constitutes a sub-game problem.This dissertation analyzes the equilibrium of the game,uses the knowledge of potential games to transform the problem and combines the Lagrangian duality with gradient search to solve the equilibrium point of the game problem,and verifies the equilibrium and performance advantage of the proposed game algorithm by simulation.In summary,this dissertation provides an in-depth study of efficient transmission problem under the satellite-terrestrial collaboration,and derives a practical and feasible algorithm scheme which has certain theoretical and practical value.