Energy-efficient partial spectrum sensing with adaptive cooperation in cognitive radio

Energy-Efficience has attracted significant research attention in recent years. Partial spectrum sensing algorithm with decision result prediction (DRP) and decision result modification (DRM) technique successfully conserves computation energy. Firstly, this paper proposed an new DRP based on the MAJ(Majority) rule instead of AND rule. The simulation results highlights the improvement in energy-efficience and detection performance. Furthermore, an adaptive cooperative partial spectrum sensing scheme is proposed. Each cognitive user chooses an appropriate FFT size based on received SNR. Simulation results shows that, the adaptive scheme is optimal tradeoff between energy saving and detection performance whatever for cognitive network or single cognitive user.