An Efficient Cooperative Spectrum Sensing Algorithm Based on BP Neural Network

Cognitive radio (CR) is a promising paradigm proposed to cope with the spectrum scarcity problem by reusing the authorized idle spectrum resource. Accurate spectrum sensing of CR is important for raising the utilization efficient of spectrum resource meanwhile avoiding interference to authorized users. In this paper, a new efficient cooperative spectrum sensing algorithm based on the BP neural network is proposed. This algorithm adjusts iteratively the parameters of BP neural network to raise the sensing accuracy. Simulation results show that the detection accuracy is improved and the consumption of energy is reduced by the new cooperative spectrum sensing algorithm.