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Joint power allocation and subcarrier selection for energy efficiency maximization in OFDM systems under a holistic power model

机译:整体功率模型下的OFDM系统联合功率分配和子载波选择,以实现能量效率最大化

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Energy efficiency (EE) maximization for OFDM transceiver has received much attention in next generation wireless communication systems. Recently, there have been a lot of works on EE maximization by balancing the transmission rate and the holistic power consumption. However, how to maximize EE in OFDM systems by joint power allocation and subcarrier selection under holistic power models has not been extensively investigated yet. In contrast to spectrum efficiency (SE) oriented power allocation and subcarrier selection, which is by a simple waterfilling policy, the EE oriented power allocation and subcarrier selection is a mixed integer programming, which is not trivial to solve. This is simply because an extra circuit power has to be paid as the cost of adding an subcarrier. Fortunately, by delving into the mixed integer programming, we found in this paper that the EE oriented power allocation also has form of waterfilling. Based on these results and approximate methods, explicit decision criterions are proposed for subcarrier selection, which provides insight into how the transmit power and the number of subcarriers balance with the channel states and the circuit power in EE oriented systems. Numerical results show that the proposed strategies achieve near-optimal performance of EE with low complexity.
机译:OFDM收发器的能量效率(EE)最大化已在下一代无线通信系统中引起了广泛关注。近年来,通过平衡传输速率和整体功耗,在EE最大化方面已有许多工作。但是,如何在整体功率模型下通过联合功率分配和子载波选择来最大化OFDM系统中的EE尚未得到广泛研究。与通过简单的注水策略的面向频谱效率(SE)的功率分配和子载波选择相反,面向EE的功率分配和子载波选择是混合整数规划,解决起来并不容易。这仅仅是因为必须支付额外的电路功率作为添加子载波的成本。幸运的是,通过深入研究混合整数规划,我们在本文中发现面向EE的功率分配也具有注水的形式。基于这些结果和近似方法,提出了用于子载波选择的显式决策标准,从而可以深入了解面向EE的系统中发射功率和子载波数量与信道状态和电路功率之间的平衡。数值结果表明,所提出的策略以较低的复杂度实现了EE的最佳性能。

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