Quickest Detection in Cognitive Radio: A Sequential Change Detection Framework

In this work, the agility of detection algorithms in cognitive radio is studied. A sequential change detection framework is developed to investigate the delay of detection algorithms. Three scenarios with different information about primary users´ parameters available at cognitive users are considered. Optimal detection schemes that minimize the detection delay under certain false alarm constraints are developed. Minimal detection delay is characterized as a function of the false alarm probability and the Kullback-Leibler distance between signal plus noise and noise only models.