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Censor-Based Cooperative Multi-Antenna Spectrum Sensing with Imperfect Reporting Channels

机译:基于审查的合作多天线频谱,具有不完美报告渠道

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摘要

The present contribution proposes a spectrally efficient censor-based cooperative spectrum sensing (C-CSS) approach in a sustainable cognitive radio network that consists of multiple antenna nodes and experiences imperfect sensing and reporting channels. In this context, exact analytic expressions are first derived for the corresponding probability of detection, probability of false alarm, and secondary throughput, assuming that each secondary user (SU) sends its detection outcome to a fusion center only when it has detected a primary signal. Capitalizing on the findings of the analysis, the effects of critical measures, such as the detection threshold, the number of SUs, and the number of employed antennas, on the overall system performance are also quantified. In addition, the optimal detection threshold for each antenna based on the Neyman-Pearson criterion is derived and useful insights are developed on how to maximize the system throughput with a reduced number of SUs. It is shown that the C-CSS approach provides two distinct benefits compared with the conventional sensing approach, i.e., without censoring: i) the sensing tail problem, which exists in imperfect sensing environments, can be mitigated; and ii) less SUs are ultimately required to obtain higher secondary throughput, rendering the system more sustainable.
机译:本贡献提出了一种可持续认知无线电网络中基于频谱有效的基于审查的协作频谱感测(C-CSS)方法,包括多个天线节点并经历不完美的感应和报告信道。在此上下文中,首先导出确切的分析表达式,用于对相应的检测概率,假警报的概率和次要吞吐量,假设每个辅助用户(SU)仅在检测到主信号时才将其检测结果发送到融合中心。还量化了对分析的调查结果,临界措施的影响,例如检测阈值,SUS的数量和所用天线的数量,还量化了整体系统性能。此外,基于Neyman-Pearson标准的每个天线的最佳检测阈值是推导的,并且在如何用减少数量的SUS最大化系统吞吐量的情况下开发了有用的见解。结果表明,与传统的传感方法相比,C-CSS方法提供了两个不同的益处,即,没有审查:i)可以减少在不完美感应环境中存在的传感尾部问题; II)最终需要较少的SES以获得更高的二次吞吐量,使系统更可持续。

著录项

  • 来源
    《IEEE Transactions on Sustainable Computing》 |2020年第1期|48-60|共13页
  • 作者单位

    School of Electronics Information Engineering Taiyuan University of Science and Technology Taiyuan China;

    Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada;

    Department of Electrical and Computer Engineering Center for Cyber-Physical Systems Khalifa University Abu Dhabi UAE;

    Department of Electrical and Computer Engineering Center for Cyber-Physical Systems Khalifa University Abu Dhabi UAE;

    Department of Computer Science and Information Systems Birkbeck College University of London London United Kingdom;

    School of Engineering Science Simon Fraser University Burnaby BC Canada;

    School of Electronics Information Engineering Taiyuan University of Science and Technology Taiyuan China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Sensors; Throughput; Cascading style sheets; Fading channels; Optimization; Antennas; Collaboration;

    机译:传感器;吞吐量;层叠风格的纸张;衰落渠道;优化;天线;合作;

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