• DocumentCode
    2090254
  • Title

    Blind opportunistic interference alignment in cognitive radio systems

  • Author

    Tsinos, Christos G. ; Berberidis, Kostas

  • Author_Institution
    Dept. of Comput. Eng. & Inf. & CTI/RU8, Univ. of Patras, Rio-Patras, Greece
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    4880
  • Lastpage
    4884
  • Abstract
    In this paper a new Opportunistic Interference Alignment (OIA) technique is presented that can be applied in a blind manner to Cognitive Radio systems. The proposed technique aims at relaxing the strong assumptions made in existing approaches where it is assumed that the Secondary User (SU) has knowledge of Channel State Information (CSI) concerning the Primary User´s (PU) transmissions, although this may not be possible, in general. First, the OIA technique of [1] is extended so that the required CSI can be blindly estimated from the second order statistics of the received symbols. More specifically, the Secondary Receiver post-coding matrix is re-designed in order to null-out completely the interference generated by the PU´s transmissions, in contrast to the original work where an interference reduction approach was adopted. Then, a novel estimation mechanism is proposed that enables the SU to apply the new OIA technique in a blind manner. The performance of the proposed technique is evaluated both theoretically as well as via simulations, under perfect and imperfect CSI.
  • Keywords
    blind source separation; cognitive radio; interference (signal); matrix algebra; radio receivers; statistical analysis; blind estimation mechanism; blind opportunistic interference alignment technique; channel state information; cognitive radio system; interference reduction approach; primary user transmission; second order statistics; secondary receiver post-coding matrix; secondary user; Covariance matrices; Estimation; Interference; MIMO; Receivers; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655349
  • Filename
    6655349