基于相位差的全双工多阈值协同传感方案

Tianwei Hou, Xiaodong Ji, Yong Li
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引用次数: 1

摘要

提出了一种基于相位差的全双工(FD)多阈值协同传感方案。与单阈值协作方法相比,本文提出的多阈值协作方法可以大大提高FD认知无线网络的性能。由于PD方法不受信噪比(SNR)水平的影响,因此本文采用了PD方法。此外,本文还提出了两种不同的加权方法,即基于每个二级用户(SU)报告平均值的加权和基于Bias判别法的加权。本文提出了基于SU报告均值的非合作情况和加权情况的闭型解。仿真结果证明了所提出的封闭解是正确的,并且所提出的多阈值加权协同方法可以提高FD系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Full duplex multi-threshold cooperative sensing scheme based on phase difference
A novel full-duplex (FD) multi-threshold cooperative sensing scheme based on phase difference (PD) is presented in this paper. Compared with single-threshold cooperative method, the novel multi-threshold cooperative method proposed in this paper can greatly improve the performance of the FD cognitive radio networks (CRNs). PD method is used in this paper since it is immune to the signal-to-noise ratio (SNR) level. Besides, two different kinds of weighing methods are presented in this paper, i.e., weighing based on the average of every secondary user's (SU) report and weighing based on Bias discriminant. Closed-form solutions for both non-cooperative case and weighing based on the average of SU's report are proposed in this paper. Simulation results justify that our closed-form solutions are correct, and our multi-threshold weighing cooperative method can improve the performance of the FD system.
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