Title :
Quickest Detection in Cognitive Radio: A Sequential Change Detection Framework
Author :
Lai, Lifeng ; Fan, Yijia ; Poor, H. Vincent
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ
Abstract :
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.
Keywords :
cognitive radio; probability; signal detection; Kullback-Leibler distance; cognitive radio; false alarm probability; minimal detection delay; optimal detection; quickest detection; sequential change detection; Centralized control; Cognitive radio; Delay; Detection algorithms; Event detection; Matched filters; Probability; Sequential analysis; Signal to noise ratio; Uncertainty;
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
Print_ISBN :
978-1-4244-2324-8
DOI :
10.1109/GLOCOM.2008.ECP.567
