Optimal Cooperative Sensing and Its Robustness to Decoding Errors

We have derived the optimal cooperative sensing schemes for distributed sensors with time independent signals and shown that the optimal scheme is simply a linear combination of the normalized energies from all sensors. To avoid using the SNR information and simplify the decision process and threshold setting, some sub-optimal schemes have been analyzed and compared. In general, the proposed AOCS has relatively good performance at all cases. If the SNR gap is not large, EGC achieves good performance. On the other hand, if the SNRs vary greatly among the sensors, it is better to choose the MNE. Finally the impact of decoding error in the reported results has been investigated. It has been proved that the impact of decoding error is equivalent to the reduction of sensing time.

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