DocumentCode
1973507
Title
A polarization enabled cooperation framework for cognitive radio networking
Author
Bin Cao ; Mark, Jon W. ; Qinyu Zhang
Author_Institution
Commun. Eng. Res. Center (CERC), Harbin Inst. of Technol., Harbin, China
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
1114
Lastpage
1119
Abstract
A novel polarization enabled two-phase cooperation framework for cognitive radio networking is proposed in this paper. By leveraging the degrees of freedom provided by orthogonally dual-polarized antennas, secondary users can relay the traffic of primary users and transmit their own in the same time slot without interference. To evaluate the performance of the proposed framework, a sum throughput maximization problem is formulated. By using the geometric programming algorithms, the nonlinear and non-convex optimization problem is solved by applying different power constraints for high and medium (or low) signal-to-noise ratio regimes. Simulation results validate the effectiveness of the proposed two-phase framework.
Keywords
cognitive radio; concave programming; cooperative communication; electromagnetic wave polarisation; geometric programming; mobile antennas; nonlinear programming; performance evaluation; radio networks; telecommunication traffic; cognitive radio networking; geometric programming algorithms; high signal-to-noise ratio regimes; low signal-to-noise ratio regimes; medium signal-to-noise ratio regimes; nonconvex optimization problem; nonlinear optimization problem; orthogonal dual-polarized antennas; performance evaluation; polarization enabled two-phase cooperation framework; power constraints; primary users traffic; sum throughput maximization problem; Cognitive radio network; geometric programming; polarized antenna; spectrum efficiency; user cooperation;
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.2012.6503262
Filename
6503262
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