• DocumentCode
    2295258
  • Title

    Interference alignment in MIMO interference relay channels

  • Author

    Chen, Xiang ; Song, S.H. ; Ben Letaief, Khaled

  • Author_Institution
    Dept. of Electron. & Comput. Eng., HKUST, Kowloon, China
  • fYear
    2012
  • fDate
    1-4 April 2012
  • Firstpage
    630
  • Lastpage
    634
  • Abstract
    The degrees of freedom (DoF) has been recognized as a powerful metric to characterize the capacity of interference channels in the high signal-to-noise (SNR) region. In this paper, by utilizing linear interference alignment, we investigate the DoF of multiple-input and multiple-output (MIMO) interference relay channels without symbol extensions. An innovative algorithm is presented to align the interference, where the filter matrices at the sources, relays and destinations are determined in an iterative manner. Based on the assumption that improperness of the alignment condition implies its unsolvability, an upper bound for the achievable DoF tuple by linear interference alignment is derived, and then utilized to examine the performance of the proposed alignment algorithm. Simulation results show that the iterative algorithm can achieve the upper bound in medium to high DoF regions.
  • Keywords
    MIMO communication; iterative methods; matrix algebra; radiofrequency interference; DoF tuple; MIMO interference relay channels; SNR; degrees of freedom; destinations; filter matrices; high signal-to-noise region; innovative algorithm; iterative algorithm; linear interference alignment; multiple-input and multiple-output interference relay channels; relays; sources; upper bound; Antennas; Interference channels; Iterative methods; MIMO; Relays; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2012 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-0436-8
  • Type

    conf

  • DOI
    10.1109/WCNC.2012.6214445
  • Filename
    6214445