Sensor selection for collaborative spectrum sensing using SVD-QR

Collaborative spectrum sensing enables opportunistic unlicensed access to the unused portions of the licensed spectrum. In this paper, we propose an effective sensor selection scheme for collaborative spectrum sensing over shadow fading channel using SVD-QR decomposition. Since shadow fading is correlated for closely spaced sensors, it is desired to select fewer independent sensors to reduce battery consumption and save bandwidth, while still adopting adequate sensors to make the sensing performance satisfied. The proposed scheme can reduce the redundancy in cognitive radio networks and does not rely on the position information of sensors. The simulation results illustrate that the SVD-QR algorithm outperforms correlation measure based selection method for spectrum sensing.