Energy-efficient Design for Underlay Cognitive Radio Using Improper Signaling
Energy-efficient Design for Underlay Cognitive Radio Using Improper Signaling
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DOI：
10.1109/icassp.2019.8683029
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
M. Soleymani;C. Lameiro;P. Schreier;I. Santamaría
中科院分区：
文献类型：
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作者：
M. Soleymani;C. Lameiro;P. Schreier;I. Santamaría
在干扰受限系统中，非高斯信号（IGS）已被用作有效的干扰管理工具。非正常高斯信号与它们的复共轭相关。在本文中，我们调查的最优性IGS从能源效率（EE）的角度。首先，我们得到封闭形式的最优性条件的IGS。然后，我们利用这些条件来设计一个二分法，找到最佳的传输参数。我们的研究结果表明，IGS可以提高一个认知无线电系统的EE。
Improper Gaussian signaling (IGS) has been used as an effective interference management tool in interference limited systems. Improper Gaussian signals are correlated with their complex conjugates. In this paper, we investigate the optimality of IGS from an energy efficiency (EE) perspective. First, we obtain closed form optimality conditions for IGS. We then leverage these conditions to devise a bisection method that finds the optimal transmission parameters. Our results show that IGS can improve the EE of an underlay cognitive radio system.