• DocumentCode
    1780122
  • Title

    The capacity of the ergodic miso channel with per-antenna power constraint and an application to the fading cognitive interference channel

  • Author

    Maamari, Diana ; Devroye, Natasha ; Tuninetti, Daniela

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2014
  • fDate
    June 29 2014-July 4 2014
  • Firstpage
    1727
  • Lastpage
    1731
  • Abstract
    This paper characterizes the ergodic capacity of the fading multiple-input single-output (MISO) channel with per-antenna power constraints (PerPC) with perfect Channel State Information (CSI) at all terminals. This turns out to be the sum-capacity achieving strategy for the ergodic fading Gaussian overlay cognitive interference channel (EGCIFC) in the strong interference regime. The EGCIFC is a two-user time-varying interference channel in which a primary / licensed transmitter and a secondary / cognitive transmitter share the same spectrum and where the cognitive transmitter has non-causal knowledge of the primary user´s message. The MISO and the EGCIFC results are verified numerically for the case of independent Rayleigh fading gains. Different achievable strategies, corresponding to different amount of CSI, are compared to show the performance of the derived PerPC optimal power allocation.
  • Keywords
    Gaussian channels; Rayleigh channels; cognitive radio; radio transmitters; radiofrequency interference; time-varying channels; transmitting antennas; CSI; EGCIFC; PerPC optimal power allocation; channel state information; cognitive transmitter; ergodic MISO Channel; ergodic fading Gaussian overlay cognitive interference channel; independent Rayleigh fading gains; licensed transmitter; multiple input single output channel; perantenna power constraint; primary transmitter; primary user message; secondary transmitter; time-varying interference channel; Interference channels; Rayleigh channels; Receivers; Resource management; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2014 IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ISIT.2014.6875129
  • Filename
    6875129