Optimal credibility spectrum sensing algorithm in cognitive radio networks

The current cooperative spectrum sensing algorithm with typical hard decisions in cognitive radio networks can not improve sensing capability efficiently due to allocating the same weight to secondary users' decisions in data fusion. To solve the problem, this paper proposes a cooperative spectrum sensing algorithm based on sensing credibility (SC-CSS). It gets secondary users' sensing credibility from their average received SNRs, integrates both their independent decisions and sensing credibility to fuse data, and makes a final sensing decision to improve sensing capability. Simulation results show that compared to the cooperative spectrum sensing algorithm with typical hard decisions, SC-CSS has a better receiver characteristic curve (ROC) and can achieve a lower detection error probability by suitably selecting the detecting threshold for secondary users for a low SNR.