• DocumentCode
    1150816
  • Title

    Capacity Bounds for the Gaussian Interference Channel

  • Author

    Motahari, Abolfazl Seyed ; Khandani, Amir Keyvan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON
  • Volume
    55
  • Issue
    2
  • fYear
    2009
  • Firstpage
    620
  • Lastpage
    643
  • Abstract
    The capacity region of the two-user Gaussian interference channel (IC) is studied. Three classes of channels are considered: weak, one-sided, and mixed Gaussian ICs. For the weak Gaussian IC, a new outer bound on the capacity region is obtained that outperforms previously known outer bounds. The sum capacity for a certain range of channel parameters is derived. For this range, it is proved that using Gaussian codebooks and treating interference as noise are optimal. It is shown that when Gaussian codebooks are used, the full Han-Kobayashi achievable rate region can be obtained by using the naive Han-Kobayashi achievable scheme over three frequency bands (equivalently, three subspaces). For the one-sided Gaussian IC, an alternative proof for the Sato´s outer bound is presented. We derive the full Han-Kobayashi achievable rate region when Gaussian codebooks are utilized. For the mixed Gaussian IC, a new outer bound is obtained that outperforms previously known outer bounds. For this case, the sum capacity for the entire range of channel parameters is derived. It is proved that the full Han-Kobayashi achievable rate region using Gaussian codebooks is equivalent to that of the one-sided Gaussian IC for a particular range of channel parameters.
  • Keywords
    Gaussian channels; channel capacity; channel coding; decoding; interference (signal); Gaussian codebooks; Gaussian interference channel; Han-Kobayashi achievable scheme; channel capacity; decoding; Channel capacity; Computational complexity; Councils; Decoding; Frequency; Gaussian noise; Information theory; Integrated circuit noise; Interference channels; Regions; Capacity region; Gaussian interference channels; convex regions; sum capacity;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2008.2009807
  • Filename
    4777617