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Energy-Saving Algorithm Based on Reducing Redundant Uploading Information in Cooperative Spectrum Sensing

机译:基于减少冗余上传信息的节能算法在协作谱检测中的冗余上传信息

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Cooperative spectrum sensing is the key technology that improves the detection performance by using the space diversity gain among cognitive users (CUs). However, it increases the energy consumption. In order to solve the problem of excessive energy consumption, we propose an energy-saving algorithm which can reduce redundant upload information by using the historical sensing results of CUs and the correlation between the sensing results of adjacent time slots. Energy consumption is further reduced by adding a prediction of the channel state. Meanwhile, the proposed algorithms can correct errors caused by the nonideal report channel and improve the detection performance of the system.
机译:合作频谱感测是通过在认知用户(CUS)中使用空间分集增益来提高检测性能的关键技术。但是,它增加了能量消耗。为了解决能耗过度的问题,我们提出了一种节能算法,可以通过使用CU的历史感测结果和相邻时隙的感测结果之间的相关性来减少冗余上传信息。通过添加信道状态的预测,进一步减少了能量消耗。同时,所提出的算法可以纠正由非积示报告通道引起的错误,并提高系统的检测性能。

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