Resource allocation mechanism based on two-step mapping for saving energy in wireless network virtualization

The current network is designed for peak loads, which results in lower network resource utilization and great energy waste. In case of meeting the wireless coverage and user requirements, how to make more base stations in wireless networks into a sleeping state has become an important means of energy saving. Virtualization network technology makes it possible that centralized scheduling wireless network resources and deploying intelligent energy perception network. According to the characteristics of the underlying virtual network mapping and base station energy consumption situation, the virtual cell resource mapping multi-objective decision making energy saving model is proposed in this paper. And then, the two-step mapping algorithm is used for solving the model. At last, the results of theoretical analysis and simulation experiments show that this algorithm can effectively reduce the system energy consumption.