Research On Edge Computing And Caching Technology In Heterogeneous Networks Based On Game Theory

With the development of wireless communication and the increasing popularity of network applications,mobile data shows a blowout.Caching and edge computing gradually become the hotspot in this field.Caching reduces the user's transmission delay by storing data in small base stations and terminals,improving transmission efficiency and reducing data redundancy.Edge computing assigns data to the cloud terminal can improve computational efficiency.In this paper,three commercial system models are proposed based on wireless caching and edge computing architecture.Game theory is used to design optimal allocation strategy of resources to solve the problem of balance of interests of all participants.For the three business models,made the following research results respectively:(1)A one-to-many allocation algorithm based on caching in heterogeneous networks is proposed.The algorithm can effectively reduce the download delay.The convergence of the proposed algorithm is simulated and compared with the traditional method.The results show that the proposed algorithm has a higher allocation efficiency than the traditional one.(2)A many-to-many file allocation algorithm based on heterogeneous network is proposed.The algorithm uses the popularity of the file as a weight of quality and distributes the file resources to the femtocell access points in a packet.In addition,the algorithm can greatly improve the efficiency of network transmission.The simulation results show that compared with the traditional single round auction mechanism,the proposed algorithm is more efficient,(3)In mobile edge computing network,a joint allocation algorithm based on game theory is proposed.Through multi-layer game,operators and end users;operators and edge nodes;edge nodes and end users are jointly optimized.The optimal allocation of compute nodes and communication channels in mobile edge computing is achieved.The algorithm can improve the computing and communication ability of mobile edge computing network.The simulation results show that the proposed algorithm can effectively solve the problem of user heterogeneity and the optimal allocation,and can significantly impro ve the performance of the network.Finally,the author summarizes the full text of the work and the shortcomings,and the follow-up study were discussed.