Research On The Resource Allocation Algorithm For Cellular Heterogeneous Network Based On Game Theory

In recent years,with the rapid development of mobile communication systems,the large-scale popularization of intelligent terminals and the increase of multimedia services,the volume of mobile data services has shown an exponential growth.In order to meet the needs of users with high speed and high quality of service,many new communication technologies are proposed.Among them,by shortening the transmission distance between the base station and the user,the cellular heterogeneous network technology can solved the problem of "blind zone" and "busy zone" covered by the base station effectively.Then due to the scarcity of spectrum resources,the high energy consumption of the system and the interference problems in the network,cellular heterogeneous networks still face many technical challenges.Therefore,designing an efficient spectrum and energy resource allocation system and reducing system interference have become urgent problems to be solved by the telecommunications industry,which have attracted the widespread attention of researchers.Therefore,this paper firstly focuses on the spectrum resource allocation problem of cellular heterogeneous networks,uses dynamic games to allocate spectrum resources,analyzes the total system utility of heterogeneous networks,considers user dynamic allocation,sets interference tolerance thresholds,and generates spectrum through derivation.Then,the method of energy resource allocation for cellular heterogeneous networks is introduced.Considering the uncertainty of user requirements,the optimal solution for energy allocation is obtained by analyzing the utility function of small base stations and microgrids under centralized and distributed decision-making respectively.Finally,the joint allocation of energy and spectrum resources for cellular heterogeneous networks is studied.Two distributed resource allocation schemes based on the Starkberg game are used,namely energy and spectrum simultaneous or sequential decision algorithms,to set prices for of energy and spectrum resources through game-theoretic inverse induction methods.Then it is proved that there is a Pareto optimal solution by adjusting the energy and spectrum allocation influenced by the pricing mechanism.The simulation results show that the proposed algorithm can effectively improve the system's energy efficiency and data transmission rate,reduce system interference,and ensure the system's utility is optimal.