Research On Energy Consumption Optimization Of Heterogeneous Wireless Network Based On Matching Game

With the development of wireless communication technology,mobile wireless communication technology shows a rapid development trend,and users have higher and higher demand for diversified services.A single network access technology cannot meet the access requirements of all scenarios and users.Therefore,heterogeneous wireless networks supported by cross-network communication as the underlying technology have become one of the important trends in the development of nextgeneration wireless networks.Under the background of the coexistence of multiple access technologies,it is necessary to reasonably allocate wireless network resources to reduce network energy consumption.In order to optimize the energy consumption of equipment,improve network performance,and realize green communication,it is of great practical significance to study and optimize the energy consumption of heterogeneous wireless networks.At present,there are many methods for resource allocation in heterogeneous wireless networks,such as resource allocation schemes based on optimization theory,multi-attribute decision-making methods,etc.However,these methods cannot be dynamically and accurately applied to heterogeneous network environments with complex topology structures,and can accurately model user and Bilateral relationship of base stations.As an important theory in decision science,game theory has been widely used in the field of network resource allocation.Compared with other game theories,matching games have the advantages of low computational complexity,selforganization,and distributed implementation.Therefore,in view of the shortcomings of existing research,this thesis deeply studies the resource distribution of the entire network,and based on the matching game theory,realizes the optimal allocation of heterogeneous wireless network resources,reduces equipment energy consumption,and improves the performance of the entire network.In this thesis,two resource allocation algorithms for heterogeneous wireless networks based on matching game theory are proposed to realize rational and dynamic allocation of resources in the entire network.First,considering the resource distribution of the whole network,according to the different requirements of the access network and the terminal,this thesis proposes a resource allocation scheme based on the delay acceptance algorithm,which aims to maximize the system throughput and maximize the energy efficiency of the equipment.Use matching game theory to achieve stable matching results.Secondly,in view of the unfair problem of participant selection in traditional matching game theory,in order to further optimize network performance,this thesis introduces reserve system theory to pre-allocate resources to disadvantaged terminals before resource allocation,and respectively under the same utility function The two schemes are simulated,and the simulation results show that the resource allocation method based on the combination of the delay acceptance algorithm and the reserve system can take into account the interests of the network as a whole and the individual terminal in the strategy interaction of the two parties,and the matching algorithm based on the reserve system can improve the terminal selection.The fairness of the base station,balance the system load,and further optimize the network performance.Finally,based on the heterogeneous wireless network resource allocation algorithm,this thesis develops and implements a cloud service prototype system for heterogeneous wireless network resource allocation,which verifies the feasibility of the research method in this thesis at the application level.