Research On Resource Cooperation Strategy In Heterogeneous Networks With Hybrid Energy Supply

With the rapid development of information and communication technology,the energy consumption of wireless cellular networks has increased dramatically.How to reduce network energy consumption and improve energy efficiency has become a hot topic of research.As an effective energy-saving method,power control technology can reduce interference by adjusting the transmit power of the source node,thereby improving the energy efficiency of the system.In recent years,the more popular Energy Harvesting(EH)technology can collect energy from external renewable energy sources and increase the supply of green energy.These energy sources include solar energy,wind energy,thermal energy,electromagnetic energy,kinetic energy,etc.However,the size and acquisition time of the collected renewable energy are highly random,and the source node cannot be guaranteed to work stably for a long time.The combined energy supply of grid power supply and green energy power supply has become the main method to solve this problem.Based on this,this paper proposes a heterogeneous network transmission model with hybrid energy supply.Supported by power control technology,this paper studies the resource cooperation strategy and power allocation when traditional grid energy and energy harvesting technologies co-exist to provide energy for base stations.algorithm.The specific contents of the study are as follows:First,the power control technology and energy harvesting technology are analyzed and investigated,and the characteristics of power control technology and energy harvesting technology and their advantages in wireless communication networks are understood;and some classic algorithms such as Lagrangian multiplier method,Gradient method and subgradient method have been studied in detail,which lays the foundation for the theory and optimization research of this article.Secondly,based on energy harvesting technology and power control technology,an iterative energy efficiency optimization algorithm is proposed.The goal of optimization is to improve the energy efficiency of the smallest base station in the system.Compare the optimized base station with other base stations in the system again.If the base station with the least energy efficiency is another base station at this time,continue to optimize the base station with the least energy efficiency,otherwise the iteration ends.The Lagrangian multiplier method is used to solve the energy efficiency optimization problem,and the subgradient method is used to solve the Lagrangian multiplier.Through simulation experiments,the influence of the number of base stations and the initial transmission power changes of the base stations on energy efficiency is analyzed;the user transmission rate is further studied and the law that the base station transmit power changes with the number of base stations,the optimization principle of the algorithm is analyzed.Finally,the problem of energy efficiency optimization of base stations in a heterogeneous network with hybrid energy supply is studied.Considering the limitation of transmission power,on the basis of satisfying the fairness of user transmission rate,a multibase station power control scheme based on maximum and minimum is proposed.Due to the addition of the limitation of the maximum transmission power of the base station,a multiconstraint optimization model is constructed.Through formula derivation and related mathematical theories,the optimization problem is disassembled and divided into several relatively independent optimization problems,so that the energy efficiency problem can be solved by stepwise optimization.Finally,through experiments,the optimal performance of the scheme under different conditions is verified.