Research On Resource Allocation Method Of Base Station Cooperative System Based On Multi-source Power

With the arrival of the 5G(Fifth Generation,5G)era,the number of users and the amount of communication data in wireless communication systems have increased,leading to a sharp increase in energy consumption in communication systems.In order to reduce the huge pressure brought by the increase in energy consumption on the energy supply of communication systems,and reduce the dependence of communication systems on traditional energy sources,combining renewable energy and traditional energy sources,it has become a prospect to use multiple sources of power to power cellular communication systems s solution.The paper first builds a heterogeneous network communication system model,a base station system power and energy loss model,simulates the production rate of solar and wind energy,and uses a mix of renewable energy and traditional energy to provide energy for the base station system.Secondly,based on the establishment of an energy sharing link between base stations,the energy allocation and user allocation issues of the communication system are summarized as a multi-objective function.According to the two optimization indicators of energy loss and energy cost,two joint energy and user distribution schemes are proposed..The results show that the proposed joint allocation strategy can effectively reduce the energy loss and energy cost of the system.Finally,considering the volatility and uncertainty of renewable energy capacity,the paper proposes a Hybrid Energy Ratio Allocation(HERA)algorithm for base stations.The algorithm seeks the optimal allocation of traditional and renewable energy Ratio to achieve the purpose of reducing the energy cost of the base station system and reducing the energy cost of the operator.The simulation results show that the proposed HERA algorithm can adjust the energy allocation strategy in real time according to the time-of-use electricity price situation,so that more renewable energy can be stored when the electricity price is lower,and more renewable energy can be used when the electricity price is higher.The algorithm can effectively reduce the energy cost of the system.