The green communication which requires the maximum reduction of energy consumption has become a strong need for the new wireless system designs because of the massive increasing number of mobile subscriptions. Thus, in this paper, energy efficiency (EE) maximization problem is considered for multiple-input single-output orthogonal frequency division multiple access (MISO-OFDMA) cellular networks. The EE maximization problem is defined for a downlink communication model by considering the total transmit power and circuit power constraints. Quality of service (QoS) constraints which guarantee the minimum data rate requirement of the users are also accounted. The considered problem belongs to the category of mixed-integer non-linear programming problem (MINLP), and thus is NP-hard. To cope up with this complexity, a two-step resource allocation algorithm, which contains an heuristic subchannel allocation algorithm and the iterative power allocation algorithm with fast convergence based on the Dinkelbach method, is proposed. Numerical results are provided to demonstrate the effectiveness of the proposed algorithm and the convergence and energy efficiency performance of the proposed scheme is validated.

由于移动用户数量的大量增加，需要最大程度降低能耗的绿色通信已成为对新无线系统设计的强烈需求。因此，在本文中，考虑了多输入单输出正交频分多址（MISO-OFDMA）蜂窝网络的能效（EE）最大化问题。通过考虑总发射功率和电路功率约束，为下行链路通信模型定义EE最大化问题。还考虑了保证用户最低数据速率要求的服务质量（QoS）约束。所考虑的问题属于混合整数非线性规划问题（MINLP）的类别，因此是NP难的。为了应付这种复杂性，提出了一种两步资源分配算法，该算法包括启发式子信道分配算法和基于Dinkelbach方法的具有快速收敛性的迭代功率分配算法。数值结果证明了所提算法的有效性，验证了所提方案的收敛性和能效性能。