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Spectrum Monitoring Using Energy Ratio Algorithm For OFDM-Based Cognitive Radio Networks

机译:基于能量比算法的基于OFDm的频谱监测   认知无线电网络

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摘要

This paper presents a spectrum monitoring algorithm for Orthogonal FrequencyDivision Multiplexing (OFDM) based cognitive radios by which the primary userreappearance can be detected during the secondary user transmission. Theproposed technique reduces the frequency with which spectrum sensing must beperformed and greatly decreases the elapsed time between the start of a primarytransmission and its detection by the secondary network. This is done bysensing the change in signal strength over a number of reserved OFDMsub-carriers so that the reappearance of the primary user is quickly detected.Moreover, the OFDM impairments such as power leakage, Narrow Band Interference(NBI), and Inter-Carrier Interference (ICI) are investigated and their impacton the proposed technique is studied. Both analysis and simulation show thatthe \emph{energy ratio} algorithm can effectively and accurately detect theappearance of the primary user. Furthermore, our method achieves high immunityto frequency-selective fading channels for both single and multiple receiveantenna systems, with a complexity that is approximately twice that of aconventional energy detector.
机译:本文提出了一种基于正交频分复用(OFDM)的认知无线电的频谱监视算法,通过该算法,可以在次要用户传输过程中检测到主要用户的出现。所提出的技术降低了必须执行频谱感测的频率,并且极大地减少了一次传输开始与二次网络对其进行检测之间的经过时间。这是通过感知多个预留OFDM子载波上信号强度的变化来实现的,从而可以快速检测到主要用户的出现,此外,还存在OFDM损伤,例如功率泄漏,窄带干扰(NBI)和载波间干扰研究了干扰(ICI),并研究了其对所提出技术的影响。分析和仿真均表明,\ emph {energy ratio}算法可以有效,准确地检测主要用户的外观。此外,我们的方法对于单个和多个接收天线系统都实现了对频率选择衰落信道的高度抗扰性,其复杂度约为传统能量检测器的两倍。

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