DocumentCode :
3232615
Title :
Localization ROC Analysis for Multiband Spectrum Sensing in Cognitive Radios
Author :
Collins, Steven D. ; Sirkeci-Mergen, Birsen
Author_Institution :
Electr. Eng. Dept., San Jose State Univ., San Jose, CA, USA
fYear :
2013
fDate :
18-20 Nov. 2013
Firstpage :
64
Lastpage :
67
Abstract :
Recent attention in cognitive radio applications has created interest in developing strategies for detecting and localizing primary users in order for secondary users to utilize the empty spectrum bands. The main contribution of this paper is to define optimal decision strategies for multiband spectrum localization and use several localization receiver operating characteristic (LROC) curves to evaluate performance of these decision strategies. The decision strategies investigated are motivated by the lesion detection problem in medical imaging, and include optimality criteria such as maximizing the area under the curve (AUC) of the LROC and Free Response ROC (FROC) curves. Performance of these optimal strategies are compared with well-known decision strategies, including maximum energy detection.
Keywords :
cognitive radio; radio receivers; radio spectrum management; signal detection; cognitive radios; empty spectrum bands; free response ROC curves; lesion detection problem; localization ROC analysis; localization receiver operating characteristic curves; maximum energy detection; medical imaging; multiband spectrum localization; multiband spectrum sensing; optimal decision strategies; optimality criteria; primary users; secondary users; Biomedical imaging; Cognitive radio; Detectors; Lesions; Search problems; Uncertainty; Cognitive Radios; Multiband spectrum sensing; ROC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, MILCOM 2013 - 2013 IEEE
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/MILCOM.2013.20
Filename :
6735599
Link To Document :
بازگشت