DocumentCode
1974668
Title
A quadrature signaling based cooperative scheme for Cognitive Radio Networks
Author
Yujie Tang ; Mark, Jon W.
Author_Institution
Centre for Wireless Commun., Univ. of Waterloo, Waterloo, ON, Canada
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
1483
Lastpage
1487
Abstract
A two-phase cooperative framework in Cognitive Radio Networks (CRNs), whereby the secondary users (SUs) can fully exploit the transmission opportunities through cooperation with primary users (PUs), is proposed. Specifically, the SU cooperates with the active PU to improve the PU´s utility. As a reward, the period of time when the PU is inactive, is allocated to the cooperating SU for its own transmissions. During the cooperation, the PU and the cooperating SU use quadrature amplitude modulation (QAM) to attain orthogonal signaling to cooperate efficiently, while the SU selects the optimal power allocation coefficient to maximize the performance of the PU, when its own transmission requirement is satisfied. The SU selection and power allocation determination procedure is formulated as a nonlinear optimization problem. The closed-form solution is derived. Numerical results demonstrate that, with the proposed cooperative strategy, the PU can achieve optimal performance and the SU can gain transmission opportunities through cooperation.
Keywords
cognitive radio; cooperative communication; nonlinear programming; quadrature amplitude modulation; CRN; QAM; cognitive radio networks; cooperative scheme; nonlinear optimization problem; optimal power allocation coefficient; power allocation determination procedure; primary users; quadrature amplitude modulation; quadrature signaling; secondary users; transmission opportunities; two-phase cooperative framework;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503323
Filename
6503323
Link To Document