Multi-energy-driven Wireless Access Network Energy-saving Management Mechanism

The energy problem has always been a hot issue all over the world.On the one hand,the gradual depletion of fossil fuels leads to the increasing pressure of traditional energy in the world.On the other hand,greenhouse carbon emissions are becoming the global climate problem.The use of renewable energy has always been an important concern.In particular,with the expansion of the coverage of the mobile network,the ratio of energy consumption to the base station in the wireless communication network is also increasing.In view of the energy consumption of the base station in the communication network,many countries have proposed a large number of energy saving strategies to build green communication.At present,most of the energy saving schemes of base stations in wireless networks are considered in combination with green energy.Due to the uncertainty of green energy,the integrated supply of power grid energy and green energy is needed to supply the base station.But in the context of mixed energy,these energy-saving methods still have some shortcomings.The energy consumption of the base station is high,the resources are wasted and the utilization of green energy is not high.In the process of energy saving,it is necessary to control the base station frequently.The proposed energy saving management mechanism has realized the autonomous energy saving of the base station.Therefore,it is of great significance to study the energy saving management mechanism of the base station under the background of mixed energy.Based on the above analysis,this paper designs the energy saving management mechanism of base station from two aspects of time and space.In the time domain,the optimal allocation method of green energy is proposed.First,the base station traffic prediction model and the renewable energy supply model are established,and the optimization goal of grid energy consumption minimization based on the 'dictionary order is proposed.The maximum and minimum fairness algorithm is designed for the optimal target.Green energy is optimizes to each time slot to increase the energy consumption of the grid by increasing green energy and utilization.The simulation results show that the proposed green energy optimal allocation method can effectively improve the utilization of green energy.In view of how to use the green energy allocated to a single time slot,the energy saving strategy of the base station in the space domain is proposed.First,the base station resource model and energy consumption model are established,and the optimization goal of energy consumption minimization is set up.In order to optimize the target,a base station sleep algorithm and a green energy sharing allocation algorithm are proposed.Through the base station sleep algorithm,we choose some base stations to sleep on the premise of guaranteeing the quality of service.Reduce the energy consumption of the base station,green energy allocation algorithm and share share allocation between base stations,so as to improve the green energy utilization rate is assigned to a time slot allocation method of green energy,and Simulation of existing green energy to compare and verify the effect of energy saving energy saving strategy.Finally,combined with the energy saving strategy in the time domain and the spatial domain,the simulation results show that the energy saving management mechanism of the hybrid wireless access network proposed in this paper can effectively reduce the grid energy consumption,and the energy saving rate reaches 42.1%.