Research On Power Control And Multi-dimensional Efficiency Optimization Of Cellular Network Based On Game Theory

In recent years,in order to effectively solve the difficulties faced by traditional cellular networks in network coverage and communication capacity,heterogeneous cellular network technology emerges at the historic moment.In heterogeneous cellular network,the cross-layer interference can be avoided effectively when inter-frequency networking is adopted between macrocellular and small cellular.However,the adoption of the intro-frequency network may lead to cross-layer and co-layer interference problems,which restrict the improvement of network performance.At the same time,the intensive deployment of small cellular base station also leads to the increase of deployment cost and operation cost,huge energy consumption and the increase of greenhouse gas emissions.Therefore,the design of efficient resource allocation mechanism to reduce interference,increase spectrum efficiency and energy efficiency becomes an important research topic in heterogeneous cellular network.Power control is an effective technology to restrain interference and realize energy saving,while game theory is an effective tool to research distributed resource allocation.Therefore,this paper first studies the power control problem of heterogeneous cellular based on game theory with the aim of reducing interference,improving spectral efficiency and energy efficiency.Then the multi-objective optimization problem based on game theory and genetic algorithm is studied with the combined optimization of spectral efficiency,energy efficiency and cost efficiency as the target.The main research work of the thesis includes the following three aspects:First,In the heterogeneous cellular network with the inter-frequency networking mechanism of the macrocell and the small cell,in view of the small cellular networks in the cell edge users vulnerable to phase in the neighborhood interference problems of energy consumption and reduce the system problems,puts forward a distributed for uplink power control method.Through the network scene modeling as a cooperative game model,we design a based on distance weighting and considering the energy efficiency of the utility function,and on this basis,put forward the cooperation game power control algorithm,the simulation results show that the proposed algorithm has faster convergence speed,and to ensure that all users the SINR at the same time reduce the transmission power of the user,thus reduce the interference and improve the energy efficiency.Second,to deal with the interference problem between macrocell base station and small cell base station in heterogeneous cellular network system with the intro-frequency networking mechanism,and improve the efficiency of resource utilization,this paper proposes a combined power control and channel allocation strategy.Scene modeling for a Stackelberggame model,the MBS and every SCBS to make decisions independently to achieve maximum utility,the corresponding algorithm,designs for the MBS and the SCBS and reached it's strategy to achieve the optimal equilibrium,the simulation results show that the proposed power control and channel allocation strategy has better convergence speed and improve the network performance.Third,a large number of active small cells in heterogeneous cellular networks means higher energy consumption and operating costs,so more and more attention has been paid to improving system energy and cost efficiency.In heterogeneous cellular networks where macrocell and small cells adopt a intro-frequency networking mechanism,in order to deal with the joint optimization problem of spectrum efficiency,energy efficiency,and cost efficiency,a multi-performance network utility maximization model based on cooperative games is constructed and adopted.Multi-objective genetic algorithm is used to optimize the objective function.The simulation results show that the proposed network resource allocation scheme can optimize the three-dimensional network efficiency.