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Energy-Efficient Transmission for Hybrid Spectrum Sharing in Cognitive Radio Networks

机译:认知无线电网络中用于混合频谱共享的节能传输

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This paper investigates the energy-efficient transmission under hybrid spectrum sharing scenario, where secondary users (SUs) can select a proper spectrum sharing method based on the state of primary users (PUs). Firstly, an optimization model to evaluate the energy-efficiency, as measured by the "throughput per Joule" metric, is proposed. Then, we show that there exists a unique globally optimal transmission power scheme for SU to achieve the maximum energy-efficiency by decomposing the optimization problem into two sub-problems. It's usually difficult to directly solve the optimal problem which is equivalent to solve joint nonlinear equations. So we propose a one-dimension low-complexity search algorithm, considering the unimodal characteristic of energy-efficiency function. Our simulation results show that the proposed transmission scheme can greatly improve energy savings with energy-efficiency maximization objective.
机译:本文研究了混合频谱共享情况下的节能传输,在这种情况下,二级用户(SU)可以根据主要用户(PU)的状态选择合适的频谱共享方法。首先,提出了一种评估能量效率的优化模型,该模型通过“每焦耳吞吐量”度量来衡量。然后,我们表明存在一种独特的全局最优传输功率方案,用于SU通过将优化问题分解为两个子问题来实现最大的能量效率。通常很难直接求解与求解联合非线性方程等效的最优问题。因此,考虑到能量效率函数的单峰特性,我们提出了一种一维低复杂度的搜索算法。我们的仿真结果表明,以能量效率最大化为目标,所提出的传输方案可以大大改善节能效果。

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