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

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.

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