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Adaptive secondary-user selection without prior information for cooperative spectrum sensing in CRNs

机译:自适应二次用户选择,无需在CRNS中进行协同频谱感测

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Cooperative spectrum sensing has draw great attention due to its advantages in high sensing performance and overcoming the hidden primary user problem. However, large numbers of secondary users participating in cooperative spectrum sensing result in extensive overhead due to sensing reporting and sensing decision. Additionally, spatial correlation among secondary users can decrease the sensing performance. In this paper, we develop an adaptive user selection mechanism for cooperative spectrum sensing without any information about secondary user location or distance among different users. Additionally, to decrease the effect of spatial correlation to sensing performance, we presents an effective parameter to evaluate that correlation relationship. Numerical results show that the performance of cooperative spectrum sensing achieves improvement and the overhead can be decreased under our proposed user adaptive user selection mechanism.
机译:合作频谱感测由于其在高感测性能和克服隐藏的主要用户问题方面的优点而引起了很大的关注。然而,由于感测报告和感测决策,大量参与协同频谱感测的二级用户参与协作频谱感测。此外,辅助用户之间的空间相关可以降低感测性能。在本文中,我们开发了一种用于协作频谱感测的自适应用户选择机制,而无需关于不同用户之间的次级用户位置或距离的任何信息。另外,为了减少空间相关与感测性能的影响,我们提出了一种评估相关关系的有效参数。数值结果表明,合作频谱感测的性能实现了改进,在我们提出的用户自适应用户选择机制下可以减少开销。

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