• DocumentCode
    68696
  • Title

    Interference Alignment Under Limited Feedback for MIMO Interference Channels

  • Author

    Krishnamachari, Rajesh T. ; Varanasi, Mahesh K.

  • Author_Institution
    Dept. of Electr., Comput. & Energy Eng., Univ. of Colorado, Boulder, CO, USA
  • Volume
    61
  • Issue
    15
  • fYear
    2013
  • fDate
    Aug.1, 2013
  • Firstpage
    3908
  • Lastpage
    3917
  • Abstract
    This paper analyzes multiple-input, multiple-output interference channels where each receiver knows its channels from all the transmitters and feeds back this information using a limited number of bits to all the other terminals. It is shown that as long as the feedback bit rate scales sufficiently fast with the signal-to-noise ratio, the transmitters can use an interference alignment strategy by treating the quantized channel estimates as being perfect to achieve the sum degrees of freedom of the interference channel attainable with perfect and global channel state information. A tradeoff between the feedback rate and the achievable degrees of freedom is established by showing that a slower scaling of feedback rate for any one user leads to commensurately fewer degrees of freedom for that user alone. It is then shown that under the same fixed transmission strategy but with random quantization, the above mentioned sufficient condition on the feedback scaling rate to attain a given sum degrees of freedom (up to the maximum attainable) is also necessary in this setting.
  • Keywords
    MIMO communication; feedback; interference (signal); quantisation (signal); MIMO interference channels; feedback bit rate; global channel state information; interference alignment strategy; multiple-input multiple-output interference channels; quantized channel estimates; random quantization; Composite grassmann manifold; MIMO; finite-rate feedback; interference alignment; interference channel; quantization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2013.2264055
  • Filename
    6517532