• DocumentCode
    1289912
  • Title

    Power Allocation in Multi-Antenna Wireless Systems Subject to Simultaneous Power Constraints

  • Author

    Khoshnevisan, Mostafa ; Laneman, J. Nicholas

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
  • Volume
    60
  • Issue
    12
  • fYear
    2012
  • fDate
    12/1/2012 12:00:00 AM
  • Firstpage
    3855
  • Lastpage
    3864
  • Abstract
    We address the problem of power allocation to maximize ergodic capacity subject to multiple power constraints assuming that perfect causal channel state information (CSI) is available at both the transmitter and the receiver. We characterize the optimal power allocation subject to both long-term and short-term power constraints, which depends upon the ratio of the two power levels. Additionally, we find a suboptimal power allocation if the input power is subject to long-term and per-antenna power constraints. We characterize the conditions for which one power constraint dominates and the other can be ignored. Numerical results suggest that, for the Rayleigh fading case, a short-term power constraint that is larger than a long-term power constraint does not significantly impact the ergodic capacity of the channel. The effect of per-antenna power constraints is also explored for the case of Rayleigh fading through our numerical results.
  • Keywords
    Rayleigh channels; antennas; radio receivers; radio transmitters; Rayleigh fading case; causal channel state information; ergodic capacity; long-term power constraint; multiantenna wireless system; receiver; short-term power constraint; suboptimal power allocation; transmitter; Channel models; Covariance matrix; MIMO; Optimization; Rayleigh channels; Resource management; Adaptive transmission; channel state information (CSI); fading channels; multiple-input multiple-output (MIMO) systems; power control; resource allocation;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2012.091112.120071
  • Filename
    6310173