• DocumentCode
    2948478
  • Title

    On Achievable Sum Rate for Vector Gaussian Interference Channels

  • Author

    Shang, Xiaohu ; Chen, Biao ; Gans, Michael J.

  • Author_Institution
    Dept. of EECS, Syracuse Univ., NY
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    2215
  • Lastpage
    2219
  • Abstract
    We develop a procedure to compute a lower bound of the sum capacity for the vector Gaussian interference channel (IFC). The obtained lower bound is shown to be tight for the very strong interference case and the procedure can be used to construct an inner bound for the vector Gaussian IFC. Alternatively, orthogonal transmission via frequency division multiplexing is considered and we establish the concavity of the sum rate as a function of the bandwidth allocation factor for the vector channel case. Numerical examples indicate that the achievable sum rate via the superposition code compares favorably with orthogonal transmission. This improvement holds for all interference power levels, a sharp contrast to that of the scalar counterpart
  • Keywords
    Gaussian channels; bandwidth allocation; frequency division multiplexing; interference; achievable sum rate; bandwidth allocation factor; frequency division multiplexing; superposition code; vector Gaussian interference channels; Broadcasting; Channel allocation; Channel capacity; Covariance matrix; Frequency division multiplexing; Gallium nitride; Interference channels; MIMO; Time sharing computer systems; Transmitters; achievable rate region; sum capacity; vector Gaussian interference channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.261944
  • Filename
    4036363