SVM-based spectrum handoff scheme for mobile cognitive radio networks

Few of the existing spectrum handoff algorithms take time-space-domain spectrum mobility into account for Cognitive Radio Networks (CRNs). In this paper, a novel spectrum handoff scheme based on the feature vector extraction of Support Vector Machine (SVM) is proposed. The new handoff scheme predicts the channel availability considering the activity of PUs and the mobility of SUs together. And Maximum Independent Set (MIS) theory is utilized to achieve fairness during the backup channel selection. Simulation results validate that the presented spectrum handoff algorithm obtains higher throughout fairness performances and lower collision rate than the traditional handoff schemes.