无线异构网络中基于能源代价的用户选择算法

针对多源供电的无线异构网络，综合考虑可再生能源的产能速率、传统能源的分时电价和用户间的公平性对于用户选择的影响，提出了2个基于能源代价的用户选择算法，将用户选择分为边缘用户分配和确定服务用户2个阶段，得到了更加均衡的负载分布.根据能量损耗、能源代价与公平性之间的关系，构造了直接法和间接法中2种指数型效用函数.仿真结果表明，直接法和间接法均可明显降低基站系统能量损耗和能源代价，而直接法相当于在间接法的指数型效用函数的底数前增加了一个随传统能源电价和可再生能源速率自适应变化的价格因子，因而可以在降低能源代价的条件下减少基站系统能量损耗.

User Selection Algorithm Based on Energy Cost in Wireless Heterogeneous Networks

In the heterogeneous network based on multi-source power supply, two user selection algorithms based on energy cost were proposed considering the influences of supply rate of renewable energy, peak-valley time-of-use tariff strategy of the traditional energy and the fairness among users. The processes of user selection can be divided into two stages which are allocating the users on the cell edge and determining the users who can get service, and a balanced load distribution was obtained. According to the relationships among power consumption, energy cost and the fairness among users, two exponential utility functions were constructed in the direct and the indirect method, respectively. Simulations show that the direct and indirect method can significantly reduce the power consumption and energy cost of base station system. Compared with the indirect method, the direct method employs an adaptive price factor, which changes with the electricity price of traditional price and the supply rate of renewable energy. Thus, it can reduce the power consumption at a lower level of energy cost.