Research On Resource Allocation Of Energy Domain In 5G Wireless Communication Systems

In mobile communication system,the degree of intensification runs deeper and the amount of data grows,which lead to the power consumption and the resulting emission of CO₂ increase rapidly.Thus,the fifth generation（5G）mobile communication system devotes itself to improve cost efficiency and reduce the emission of CO₂.In smart grid,peak-valley time-of-use（TOU）tariff strategy and renewable energy are adopted,which lead to the relation between the power consumption and the energy cost is not linear any more.Therefore,this thesis adopts the economic cost caused by power consumption as the index,construct the comprehensive power supply model supplied by hybrid sources,and the model connects the energy cost and power consumption.First,this thesis proposes cost efficiency（CE）function.And we prove that the CE function is strictly quasi-concave and has a unique global optima which is the optimal cost efficiency of the system.On this basis,combining with base station sleep mechanism,we use CE function select base stations.And the simulation results show that adopting CE function to determine active base stations can reduce the energy cost of base station system.Next,based on the above-mentioned theoretical analysis,in order to further reduce the energy cost and increase cost efficiency of communication bases system,two base sleep mechanism named Energy Cost First（ECF）algorithm and Power Consumption First（PCF）algorithm are proposed.What's more,Preventing Repeated Switch（PRS）mechanism is investigated to avoid the practical power consumption by repeating switching.Last but not least,considering power consumption,energy cost and the fairness among users,the user allocation algorithm in heterogeneous network are proposed,which can effectively reduce the power consumption and energy cost in the communication bases system on the premise of the relative fairness.