Research On The Optimization Of Access Strategy For Heterogeneous Wireless Networks Based On Game Theory

Wireless heterogeneous network is one of the main trends in the future development of mobile communication,it can use the characteristics of different networks and network resources to provide users with better quality of diversity services.Wireless association,as a research hotspot in wireless heterogeneous networks,is mainly to resolve the problem of improving the performance of heterogeneous network and providing better service to users.Game theory,as an effective tool to analyze problems,has been widely used in heterogeneous wireless networks.This paper analyzed and conducted the research on the problem of user association strategy in heterogeneous wireless networks based on the game theory,the main contents include:Firstly,we built the model of two-tier heterogeneous wireless network system by using Evolutionary Game model.Then the payoff function was defined based on optimization objectives.In the process of network selection,users' behavior had been described by the replicator dynamics model.The simulation results showed that the payoff of each user tend to be equal to the average payoff of all users.System energy efficiency and fairness among users had been improved.Then,the scene was extended.It is consisted of a variety of user service types in heterogeneous wireless networks and various network standards.This paper proposed a network selection strategy,which can reduce the terminal energy consumption and thus enhance the user terminal endurance while guarantee the QoS of users and the fairness among users,based on hierarchical analysis method and Evolutionary Game.Finally,we proposed a network selection strategy based on improved TOPSIS and Matching Game with the consideration both of user and network for the heterogeneous wireless network scenarios studied in the fourth chapter.,and network selection process was described as a matching game process.The simulation results showed that the proposed strategy can effectively improve the system average satisfaction and achieve the load balancing of heterogeneous wireless network system comparing with other network selection strategy which only considering users' benefits or network's benefits.