Combination of spectrum allocation and multi-relay selection in overlay cognitive radio network

Yanbo J. Wang, Caili Guo, Xuekang Sun, Chunyan Feng
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Abstract

In overlay cognitive radio network, the available spectrum for secondary users are dynamically grabbed from a wideband of hundreds megahertz by spectrum sensing, which leads to remarkably differential path loss among different frequencies according to propagation theory. Adjusting the global path loss of cognitive relay system through spectrum allocation can serve nontrivial increment to the performance of multi-relay selection. In this paper, we propose a novel scheme combining multi-relay selection with spectrum allocation in the cognitive radio relay system to obtain maximum signal to noise ratio (SNR) at the receiver, called SAMS (spectrum allocation and multi-relay selection). Given the available frequencies, we first search all the possible resolutions for spectrum allocation, then make multi-relay selection under each possible spectrum allocation resolution to optimize the SNR value at the receiver. Finally, we choose the largest SNR, achieve the corresponding spectrum allocation resolution and also figure out the selected relays. Compared with conventional multi-relay selection scheme (CMS), simulation results demonstrate that our proposed scheme has a 4dB-increment of SNR value at the receiver.
重叠认知无线电网络中频谱分配与多中继选择的结合
在覆盖式认知无线电网络中,二次用户可用的频谱是通过频谱感知在数百兆赫的宽带内动态抓取的,根据传播理论,这导致了不同频率之间的路径损耗差异很大。通过频谱分配来调整认知中继系统的全局路径损耗,对多中继选择的性能有显著的提高。本文提出了一种在认知无线电中继系统中,将多中继选择与频谱分配相结合以获得最大信噪比的新方案,称为SAMS(频谱分配与多中继选择)。给定可用频率,首先搜索所有可能的频谱分配分辨率,然后在每个可能的频谱分配分辨率下进行多中继选择,以优化接收端信噪比值。最后选择最大信噪比,得到相应的频谱分配分辨率,并确定所选中继。与传统的多中继选择方案(CMS)相比,仿真结果表明,该方案在接收机处的信噪比提高了4db。
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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