• 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