• DocumentCode
    640132
  • Title

    Multiple access channel with state uncertainty at transmitters

  • Author

    Shaofeng Zou ; Yingbin Liang ; Shitz, Shlomo Shamai

  • Author_Institution
    Dept. of EECS, Syracuse Univ., Syracuse, NY, USA
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    1466
  • Lastpage
    1470
  • Abstract
    Two-user fading multiple access channel (MAC) is investigated, which is corrupted by random fading coefficients and additive Gaussian noise. It is assumed that the channel is block fading, and each transmitter knows only its own channel state to the receiver, but does not know the other transmitter´s channel state. The receiver has full knowledge of channel state information (CSI). The performance measure, the expected capacity region over channel statistics, is studied for two scenarios. For the first scenario, in which user 1 has multiple states, and user 2 has one state, most part of the boundary of the expected capacity region is characterized. Interestingly, these rate points are also on the boundary of the capacity region (i.e., the best achievable rate pairs) when the CSI is fully known at both transmitters. Furthermore the expected capacity region is fully characterized for some asymptotic regimes. For the second scenario, in which both users 1 and 2 have two states, a number of achievable regions are studied, and are demonstrated to be close to an outer bound numerically.
  • Keywords
    Gaussian noise; fading channels; statistics; CSI; MAC; additive Gaussian noise; block fading; channel state information; channel statistics; expected capacity region; random fading coefficients; two-user fading multiple access channel; Decoding; Fading; Gaussian noise; Receivers; Transmitters; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620470
  • Filename
    6620470