• DocumentCode
    138630
  • Title

    Capacity region of a class of strong MIMO IC

  • Author

    Karmakar, Sanjay ; Varanasi, Mahesh K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Dakota State Univ., Fargo, ND, USA
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The capacity region of a class of 2-user multi-input multi-output (MIMO) strong interference channels (IC) is characterized. As a stepping stone we prove a new upper bound to the difference of two mutual information. This class of channels called strong in partial order channels, generalizes the notion of strong channels introduced earlier in the literature in the context of SISO and SIMO Gaussian interference channels. The class of strong in partial order channels, although have an overlap with the class of aligned-strong ICs introduced by Shang et. al., also contain channels which are not aligned-strong. Further, it is proved that using independent and random Gaussian codes at the transmitters and decoding both users messages at the receivers are sufficient to achieve the capacity region on this class of channels. This result enlarges the set of channels for which exact capacity of the 2-user MIMO Gaussian IC can be characterized.
  • Keywords
    Gaussian channels; MIMO communication; adjacent channel interference; channel capacity; codes; matrix algebra; radio receivers; radio transmitters; SIMO Gaussian interference channels; SISO Gaussian interference channels; aligned-strong IC; capacity region; independent codes; multi-input multi-output strong interference channels; mutual information; partial order channels; radio receivers; radio transmitters; random Gaussian codes; strong MIMO IC; two-user MIMO Gaussian IC; Equations; Integrated circuits; MIMO; Mutual information; Receivers; Transmitters; Upper bound; Capacity region; MIMO Interference channel; Strong in partial order; strong IC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2014 48th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Type

    conf

  • DOI
    10.1109/CISS.2014.6814119
  • Filename
    6814119