• DocumentCode
    104652
  • Title

    Transceiver Optimization for Unicast/Multicast MIMO Cognitive Overlay/Underlay Networks

  • Author

    Gupta, Nikhil ; Jagannatham, Aditya K.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, Kanpur, India
  • Volume
    22
  • Issue
    10
  • fYear
    2015
  • fDate
    Oct. 2015
  • Firstpage
    1556
  • Lastpage
    1560
  • Abstract
    In this work, we develop a majorization theory based linear precoding framework for optimal transceiver design in MIMO cognitive radio networks. Closed form expressions are derived for the optimal MIMO precoders using two new transceiver design paradigms, the zero-forcing transceiver (ZFT) and the interference optimized transceiver (IOT), for overlay and underlay MIMO cognitive radio networks respectively. Further, another novel contribution of this work is to derive the precoders for multicast MIMO cognitive radio scenarios based on novel multi-user mean-squared error (MSE) bounds. Simulation results demonstrate the performance of the proposed optimal MIMO transceivers.
  • Keywords
    MIMO communication; cognitive radio; linear codes; mean square error methods; multicast communication; optimisation; overlay networks; precoding; radio transceivers; radiofrequency interference; IOT; MSE bound; ZFT; interference optimized transceiver; majorization theory based linear precoding; multicast MIMO cognitive radio overlay-underlay network; multiuser mean squared error bound; transceiver optimization; unicast MIMO cognitive radio overlay-underlay network; zero-forcing transceiver; Cognitive radio; Interference; MIMO; Optimization; Radio transmitters; Receivers; Transceivers; Cognitive radio; MIMO; transceiver optimization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2413940
  • Filename
    7061926