• DocumentCode
    63735
  • Title

    On the Optimality of Treating Interference as Noise: General Message Sets

  • Author

    Chunhua Geng ; Hua Sun ; Jafar, Syed Ali

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Irvine, Irvine, CA, USA
  • Volume
    61
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    3722
  • Lastpage
    3736
  • Abstract
    In a K-user Gaussian interference channel, it has been shown that if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest interference to this user (all values in decibel scale), then treating interference as noise (TIN) is optimal from the perspective of generalized degrees of freedom (GDoF) and achieves the entire channel capacity region to within a constant gap. In this paper, we show that for such TINoptimal interference channels, even if the message set is expanded to include an independent message from each transmitter to each receiver, operating the new channel as the original interference channel and treating interference as noise is still optimal for the sum capacity up to a constant gap. Furthermore, we extend the result to the sum-GDoF optimality of TIN in the general setting of X channels with arbitrary numbers of transmitters and receivers.
  • Keywords
    Gaussian channels; Gaussian noise; channel capacity; radio receivers; radio transmitters; radiofrequency interference; wireless channels; K-user Gaussian interference channel; TIN; channel capacity; generalized degree of freedom; receiver; signal strength; sum-GDoF optimality; transmitter; treating interference as noise; wireless network; Channel capacity; Interference channels; Noise; Receivers; Tin; Transmitters; $X$ channels; Gaussian networks; X channels; generalized degrees of freedom (GDoF); sum capacity; treating interference as noise (TIN);
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2015.2432751
  • Filename
    7106540