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

机译:基于能量比率算法的基于OFDM的认知无线电网络的频谱监测

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摘要

This paper presents a spectrum monitoring algorithm for Orthogonal Frequency Division Multiplexing (OFDM) based cognitive radios by which the primary user reappearance can be detected during the secondary user transmission. The proposed technique reduces the frequency with which spectrum sensing must be performed and greatly decreases the elapsed time between the start of a primary transmission and its detection by the secondary network. This is done by sensing the change in signal strength over a number of reserved OFDM sub-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 impact on the proposed technique is studied. Both analysis and simulation show that the energy ratio algorithm can effectively and accurately detect the appearance of the primary user. Furthermore, our method achieves high immunity to frequency-selective fading channels for both single and multiple receive antenna systems, with a complexity that is approximately twice that of a conventional 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期间检测主要用户的重新出现。所提出的技术降低了必须执行频谱感测的频率,并大大减少了从一次传输开始到二次网络检测到传输之间的经过时间。这是通过感测许多保留的OFDM子载波上信号强度的变化来完成的,从而可以快速检测到主要用户的出现。此外,研究了OFDM损伤,例如功率泄漏,窄带干扰(NBI)和载波间干扰(ICI),并研究了它们对所提出技术的影响。分析和仿真均表明,能量比算法可以有效,准确地检测主要用户的出现。此外,我们的方法对单接收天线系统和多接收天线系统都具有很高的抗频率选择性衰落信道的能力,其复杂度约为传统能量检测器的两倍。

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