Detection threshold optimization for RF-powered full-duplex cognitive radio networks

Menglan Fan, Hang Zhang, Hang Hu, Qian Wang
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引用次数: 4

Abstract

In RF-powered full-duplex cognitive radio networks (FD CRNs), with the help of FD technique and energy harvesting capability, secondary users (SUs) can conduct spectrum sensing, utilize the spectrum opportunistically and harvest energy from RF signals simultaneously. Since the circumstances whether secondary transmitters (STs) are transmitting or not are different, two detection thresholds for energy detector are employed. In this paper, we investigate the problem of optimizing detection thresholds to maximize both energy efficiency (EE) and harvesting efficiency (HE) in RF-powered FD CRNs under the constraint that the primary user (PU) is protected. We define a new objective function, i.e., the weighted sum of EE and HE and formulate the optimization problem mathematically. Further we optimize the defined objective function and obtain the optimal detection thresholds and the corresponding EE and HE. Simulation results are given to verify the proposed optimization scheme and the theoretical analyses.
射频全双工认知无线网络检测阈值优化
在射频驱动的全双工认知无线电网络(FD crn)中,借助FD技术和能量收集能力,辅助用户(su)可以同时进行频谱感知,机会性地利用频谱并从射频信号中收集能量。由于二次发射机发射和不发射的情况不同,能量探测器采用两个检测阈值。在本文中,我们研究了在保护主用户(PU)的约束下,优化检测阈值以最大化rf供电FD crn的能量效率(EE)和收获效率(HE)的问题。我们定义了一个新的目标函数,即EE和HE的加权和,并将优化问题数学化。进一步对所定义的目标函数进行优化,得到最优检测阈值以及相应的EE和HE。仿真结果验证了所提出的优化方案和理论分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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