Optimal user power manipulation aided cooperative sensing schemes for cognitive radios

In recent years, cooperative spectrum sensing (CSS) for cognitive radio networks (CRN) have been widely investigated in various research aspects. With an aim to develop easy-to-implement CSS schemes, this paper proposes two optimal strategies to manipulate the transmit powers of the cooperative secondary users (SU) in the CSS intervals. When the joint channel statistics (CS) of the sensing and reporting channels are perfectly known at the fusion center (FC), we first derive a CS aided optimal user power manipulation (CSA-OUPM) scheme in closed-form; when the CS are entirely unknown, a blind user power control method is developed, namely the principal eigenvector aided OUPM (PEV-OUPM). Theoretical analysis and computer simulations verify that the proposed OUPM schemes are capable of potentially allocating more power to the cooperative SUs with better channel condition and hence achieve significantly ameliorated performance.