• DocumentCode
    355886
  • Title

    Asymptotically optimal waterfilling in multiple antenna multiple access channels

  • Author

    Viswanath, Pramod ; Tse, David N C ; Haram, Venkat Anant

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    466
  • Abstract
    This paper considers “vector multiple access channels” (VMAC) where each user has multiple “degrees of freedom” and studies the effect of power allocation as a function of the channel state on the “sum capacity” defined as the maximum sum of rates of users per unit degree of freedom at which the users can jointly reliably transmit, in an information theoretic sense. A concrete example of a VMAC is a MAC with multiple antennas at the receiver where the antennas provide spatial degrees of freedom. Our main result is the identification of a simple dynamic power allocation scheme that is optimal in a large system, i.e., in the regime of a large number of users and a correspondingly large number of antennas. A key feature of this policy is that, for any user, it depends only on the instantaneous amplitude of the slow fading component of the vector channel of that user alone and the structure of the policy is “waterfilling”
  • Keywords
    access protocols; antenna arrays; fading channels; multi-access systems; multiuser channels; optimisation; receiving antennas; MAC; antenna array; asymptotically optimal waterfilling; channel state; dynamic power allocation; frequency flat channel fading; information theory; instantaneous amplitude; multiple access control; multiple antenna multiple access channels; multiple degrees of freedom; multiple receiver antennas; power allocation; slow fading; sum capacity; vector multiple access channels; Additive noise; Antenna accessories; Antenna arrays; Baseband; Concrete; Fading; Frequency; Receiving antennas; Reliability theory; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866764
  • Filename
    866764