DocumentCode :
1939893
Title :
Joint spectrum sensing and primary user localization for cognitive radio via compressed sensing
Author :
Li, Xue ; Han, Qian ; Chakravarthy, Vasu ; Wu, Zhiqiang
fYear :
2010
fDate :
Oct. 31 2010-Nov. 3 2010
Firstpage :
329
Lastpage :
334
Abstract :
Radio spectrum has become a precious resource, and it has long been the dream of wireless communication engineers to maximize the utilization of the radio spectrum. Dynamic Spectrum Access (DSA) and Cognitive Radio (CR) have been considered promising to enhance the efficiency and utilization of the spectrum. In current overlay cognitive radio, spectrum sensing is first performed to detect the spectrum holes for the secondary user to harness. However, in a more sophisticated cognitive radio, the secondary user needs to detect more than just the existence of primary users and spectrum holes. For example, in a hybrid overlay/underlay cognitive radio, the secondary use needs to detect the transmission power and localization of the primary users as well. In this paper, we combine the spectrum sensing and primary user power/localization detection together, and propose to jointly detect not only the existence of primary users but the power and localization of them via compressed sensing. Simulation results including the miss detection probability (MDP), false alarm probability (FAP) and reconstruction probability (RP) confirm the effectiveness and robustness of the proposed method.
Keywords :
cognitive radio; probability; radio spectrum management; cognitive radio; compressed sensing; dynamic spectrum access; false alarm probability; joint spectrum sensing; miss detection probability; primary user localization; radio spectrum; reconstruction probability; wireless communication; Cognitive radio; Compressed sensing; Frequency domain analysis; Image reconstruction; Sensors; Signal to noise ratio; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010
Conference_Location :
San Jose, CA
ISSN :
2155-7578
Print_ISBN :
978-1-4244-8178-1
Type :
conf
DOI :
10.1109/MILCOM.2010.5680334
Filename :
5680334
Link To Document :
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