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Energy-Efficient Power Allocation for Underlay Cognitive Radio Systems

机译:底层认知无线电系统的节能功率分配

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摘要

We present a power allocation framework for spectrum sharing cognitive radio (CR) systems based on maximizing the energy efficiency (EE). First, we show that the relation between the EE and the spectral efficiency (SE) is strictly increasing in contrast with the SE–EE tradeoff discussed in the literature. We also solve a nonconvex problem and explicitly derive the optimal power for the proposed average EE under either a peak or an average power constraint. We apply our results to the underlay CR systems where the power is limited by an additional interference constraint. When the instantaneous channel is not available, we provide a necessary and sufficient condition for the optimal power and present a simple suboptimal power. In the numerical results, we show that the proposed EE corresponds to a higher SE at midrange and high-power regime compared to the classical EE. We also show that the suboptimal solution is very close to the optimal solution. In addition, we deduce that the absence of instantaneous CSI affects the EE and the SE at high power regime compared to full CSI. In the CR context, we show that the interference threshold has a minimal effect on the EE compared to the SE.
机译:我们基于最大化能效(EE)提出了频谱共享认知无线电(CR)系统的功率分配框架。首先,我们证明与文献中讨论的SE–EE权衡相反,EE与频谱效率(SE)之间的关系严格增加。我们还解决了一个非凸问题,并在峰值或平均功率约束下,明确推导了拟议平均EE的最佳功率。我们将结果应用于功率受限于其他干扰约束的底层CR系统。当瞬时信道不可用时,我们提供最佳功率的必要和充分条件,并提出简单的次优功率。在数值结果中,我们表明,与经典EE相比,拟议的EE在中频和高功率状态下的SE更高。我们还表明,次优解与最优解非常接近。此外,我们推断出,与完全CSI相比,在高功率状态下,瞬时CSI的缺失会影响EE和SE。在CR上下文中,我们表明与SE相比,干扰阈值对EE的影响最小。

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