• DocumentCode
    22721
  • Title

    Blind interference alignment tracking for two-way interference channel

  • Author

    Shuai Ma ; Dechun Sun ; Yuping Su

  • Author_Institution
    State Key Lab. of Integrated Services Networks (ISN Lab.), Xidian Univ., Xi´an, China
  • Volume
    8
  • Issue
    4
  • fYear
    2014
  • fDate
    March 6 2014
  • Firstpage
    455
  • Lastpage
    461
  • Abstract
    In this study, the authors propose a novel blind adaptive minor subspace tracking interference alignment (BAMST-IA) scheme for slowly fading two-way interference channel. In this scheme, a new frame structure is designed to exploit the dependency of the channels between consecutive fading blocks. Then, the IA problem is reformulated as a minor subspace tracking problem, and the low computational complexity fast data projection method algorithm is integrated with the BAMST-IA scheme to update the IA solutions. Moreover, the update uses only observed data without any channel state information, thus requires lower signalling overhead. Simulation results are presented to show that the proposed BAMST-IA scheme is fit for slowly fading channels.
  • Keywords
    computational complexity; fading channels; radiofrequency interference; BAMST-IA scheme; IA problem; blind adaptive minor subspace tracking interference alignment scheme; blind interference alignment tracking; fading blocks; low-computational complexity fast data projection method algorithm; signalling overhead; slowly-fading two-way interference channel;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2013.0339
  • Filename
    6758414