DISTRIBUTED COOPERATIVE SPECTRUM SENSING WITH ADAPTIVE COMBINING

This paper proposes a novel two-step distributed detection scheme for cooperative spectrum-sensing networks. In the first step, individual contributions from nodes within a neighborhood are fused through an adaptive combiner, which updates the weights and makes local decisions iteratively. In the second step, local decisions are shared within a neighborhood to yield a consensus decision. Results are presented in terms of complementary receiver operating characteristic curves and show the good behavior of the proposed scheme when compared to the optimal linear fusion rule, even if correlated node contributions are considered.