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Improved algorithms for interference suppression in non-contiguous orthogonal frequency division multiplexing-based cognitive radio systems

机译:基于非连续正交频分复用的认知无线电系统中的干扰抑制的改进算法

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摘要

Non-contiguous orthogonal frequency division multiplexing is considered as an auspicious scheme for the cognitive radio (CR) systems. It has the abilities such as spectral efficiency, multiple path delay spread and robustness against channel fading. However, due to its high sidelobes, it distorts the signals of the neighboring users including cognitive radio users (CRUs) as well as licensed users. In this paper, we proposed two novel metaheuristic algorithms, i.e., Cuckoo search algorithm and Firefly algorithm, to estimate the amplitudes of cancelation carriers which are used for the suppression of sidelobes. The effectiveness of the proposed algorithms is shown in single as well as the multiple CRUs environment. Simulations results in terms of power spectral density show that with the help of proposed algorithms significant reduction in sidelobes is achieved as compared with the existing methods.
机译:非连续正交频分复用被认为是认知无线电(CR)系统的吉祥方案。 它具有诸如光谱效率,多路径延迟扩展和对信道衰落的鲁棒性等的能力。 然而,由于其高侧瓣,它将邻近用户的信号扭曲包括认知无线电用户(CRU)以及许可用户。 在本文中,我们提出了两种新的半导体族算法,即Cuckoo搜索算法和萤火虫算法,以估计用于抑制侧瓣的消除载体的幅度。 所提出的算法的有效性在单个以及多个Crus环境中显示。 在功率谱密度方面的模拟结果表明,借助于所提出的算法,与现有方法相比,实现了侧链的显着减少。

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