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Multi-domain collaborative spectrum sensing and power control in presence of multiple primary users

机译:在有多个主要用户的情况下进行多域协作频谱感测和功率控制

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Spectrum sensing is one of the most important technique in the cognitive radio. The existing works so far primarily focus on single primary user detection. In this work, we consider cooperative spectrum sensing in cognitive radio networks (CRNs), when there are multiple primary users (PUs) existing. To address the problem of multiple PUs detection, we introduce a novel multi-domain spectrum sensing algorithm in the context for determining the status and number of PUs. After extracting the feature of detecting signal with tensor decomposition method, we propose a multi-domain spectrum sensing (MDS) framework to improve the opportunity detection performance in multiple primary users network. Moreover, based on the spectrum sensing results, we further propose a power control algorithm allowing SUs to transmit without generating harmful interference to primary user. The effectiveness of the proposed scheme is demonstrated through extensive simulation studies.
机译:频谱感测是认知无线电中最重要的技术之一。迄今为止,现有作品主要集中在单个主要用户检测上。在这项工作中,当存在多个主要用户(PU)时,我们考虑在认知无线电网络(CRN)中进行协作频谱感知。为了解决多个PU检测问题,我们在上下文中引入了一种新颖的多域频谱感知算法,用于确定PU的状态和数量。在采用张量分解法提取信号检测特征后,提出了一种多域频谱感知(MDS)框架,以提高多个主要用户网络中机会检测的性能。此外,基于频谱感测结果,我们进一步提出了一种功率控制算法,允许SU进行传输而不会对主要用户产生有害干扰。通过广泛的仿真研究证明了该方案的有效性。

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