基于混合双阈值的高效协同频谱能量检测

Quoc-Tuan Vien, H. Nguyen, T. Le-Ngoc
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引用次数: 2

摘要

本文研究了认知无线电网络中的协同频谱感知(CSS)。辅助用户(su)的频谱可用性决策是在融合中心(FC)的协助下完成的。在本文中,我们提出了一种新的基于混合双阈值的能量检测(HDTED),通过利用单元的局部决策和FC的全局决策来提高频谱感知性能。在提议的HDTED中,为了对许可频谱的可用性做出最终决定,每个SU执行本地和全局决策的混合组合。特别地,考虑到所有感知、报告和向后信道都遭受瑞利衰落的实际场景,我们推导了漏检概率和虚警概率,表明所提出的HDTED方案比传统方案实现了更好的CSS性能。最后,给出了仿真结果来验证分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient hybrid double-threshold based energy detection for cooperative spectrum sensing
This paper considers cooperative spectrum sensing (CSS) in cognitive radio networks. The decision on spectrum availability for secondary users (SUs) is carried out with the assistance of a fusion center (FC). In this paper, we propose a new hybrid double-threshold based energy detection (HDTED) to improve the spectrum sensing performance by exploiting both local decision at the SUs and global decision at the FC. In the proposed HDTED, to make a final decision on the availability of licensed spectrum, each SU performs a hybrid combination of both local and global decisions. Particularly, taking into account a practical scenario where all sensing, reporting, and backward channels suffer from Rayleigh fading, we derive the missed detection probability and false alarm probability to show that the proposed HDTED scheme achieves a better CSS performance than the conventional schemes. Finally, simulation results are provided to verify the analytical findings.
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