• DocumentCode
    1713838
  • Title

    Linear precoding in MISO cognitive channels with degraded message sets

  • Author

    Lv, Jing ; Jorswieck, Eduard A. ; Blasco-Serrano, Ricardo ; Thobaben, Ragnar ; Kliks, Adrian

  • Author_Institution
    Commun. Theor., Commun. Lab., Dresden Univ. of Technol., Dresden, Germany
  • fYear
    2012
  • Firstpage
    119
  • Lastpage
    124
  • Abstract
    In this work, the coexistence of a single-input single-output (SISO) primary link and a multiple-input single-output (MISO) secondary link is considered, where the secondary transmitter has non-causal knowledge of primary message and transmits both primary and secondary messages. The optimal beamforming vectors and power allocation at the secondary transmitter are derived to maximize the achievable secondary rate while satisfying the primary rate requirement. Moreover, the optimal linear precoding is obtained by semidefinite relaxation and rank-one decomposition, when the number of antennas at the secondary transmitter is larger than two. Finally, the performance of the proposed scheme is evaluated through numerical simulations.
  • Keywords
    MIMO communication; antenna arrays; array signal processing; channel coding; cognitive radio; linear codes; numerical analysis; precoding; radio transmitters; vectors; wireless channels; MISO cognitive channel; MISO secondary link; SISO primary link; antenna; message set degradation; multiple-input single-output secondary link; numerical simulation; optimal beamforming vector; optimal linear precoding; power allocation; primary message noncausal knowledge; primary message transmission; rank-one decomposition; secondary message transmission; secondary transmitter; semidefinite relaxation; single-input single-output primary link; Array signal processing; Cognitive radio; Radio transmitters; Receivers; Transmitting antennas; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Antennas (WSA), 2012 International ITG Workshop on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4577-1923-3
  • Electronic_ISBN
    978-1-4577-1924-0
  • Type

    conf

  • DOI
    10.1109/WSA.2012.6181192
  • Filename
    6181192