Cooperative Low-Power Wideband Sensing Based on 1-bit Quantization

We propose a cooperative wideband sensing approach based on the fast Fourier transform-based 1-bit quantization sensing applied at the cognitive radio (CR) receiver. A hard combining approach is utilized to fuse the local binary decisions obtained from different CRs. The system parameters are optimized to maximize the aggregate throughput subjected to a constrained interference term. When compared with other methods, in addition to the significant saving in power and complexity, results indicate that the proposed method provides better performance even though an aggressive quantization has been applied.