BOCCSBuyantanshi Open Christian Community Schools (Zambia, Central Africa)
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From the results shown in Figures 6(b)-8(b), it is observed that the proposed BOCCS consistently offers significant gains in PU protection by increasing the detection probability at other fixed system parameters as false alarm probability, PU SNR, and compression ratio.
Figure 9(a) shows the ROC enhancement when deploying BOCCS with the 3 cooperating sensing terminals compared to single-terminal BOCS.
The cooperative combining gain of the proposed BOCCS algorithm is analyzed in case of a non-ideal reporting channel.
The performance of the proposed BOCCS with MRC is compared to that of BOCCS with conventional equal gain combining (EGC) when the measurements are received at the FC from all spectrum sensing nodes (J = 10) or from only the first two spectrum sensing nodes (J = 2).
A block diagram of the proposed secure BOCCS (SBOCCS) algorithm is shown in Figure 3 and is described as follows:
The BOCCS algorithm, as explained by Algorithm 3, is operated on the authenticated measurement matrix [Y.sub.a] such that the first estimate of the PU signal using the FWP transform is calculated as [[??].sub.W] = SOMP([Y.sub.a], [PHI], W), and used to optimize [[PSI].sup.*].