• DocumentCode
    475759
  • Title

    Improved Balanced Power Allocation in Uplink MIMO System

  • Author

    Yao, Yilei ; Xu, Shangzhi ; Wang, Xinhong

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai
  • Volume
    2
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    426
  • Lastpage
    429
  • Abstract
    This paper studies a balanced power allocation scheme to approach the capacity limits and power consumption reduce simultaneously of orthogonal-frequency- division-multiplexing multiple-input multiple-output (OFDM-MIMO) channels under the assumption that perfect channel state information (CSI) is available at both the transmitter and the receiver. In this paper, we build a function to describe the coordinate performance of capacity and total power, and use convex optimization method to solve this question, and an adaptive power allocation scheme is proposed according to the interior-point method. By numerical example we verify our analysis and show that proposed approach, compared to the optimal water-filling algorithm, actually achieves significantly lower total power consumption with similar performance in capacity.
  • Keywords
    MIMO communication; OFDM modulation; channel capacity; convex programming; power consumption; OFDM-MIMO channels; adaptive power allocation scheme; capacity limits; channel state information; convex optimization method; interior-point method; multiple-input multiple-output channels; orthogonal frequency division multiplexing; power consumption; uplink MIMO system; Energy consumption; Energy management; Interference; Iterative algorithms; MIMO; OFDM; Power control; Power system management; Signal to noise ratio; Wireless communication; MIMO systems; OFDM; convex optimization; power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.260
  • Filename
    4609720