Frequency spectrum access mechanism of Cognitive Radio based on spectrum prediction

In this thesis, a frequency spectrum access mechanism, in which future frequency spectrum state is predicted, is brought forward according to the fact that frequency spectrum detection error of Cognitive Radio is inevitable. That mechanism on support vector machine (SVM) method could evaluate the probability density of idle state duration and occupied state duration of authorized users in given channel. Therefore, it could assess and amend the result of frequency spectrum real-time detection , and could decrease the impact of false alarm probability and misjudgment probability on cognition system and authorized system. The result of simulation shows that the mechanism could obviously decrease the interference of detection error to authorized system, and could apparently reduce the lost of frequency spectrum access chances of cognition system caused by detection error.