• DocumentCode
    1259778
  • Title

    Energy-Efficient Power Allocation for Fixed-Gain Amplify-and-Forward Relay Networks with Partial Channel State Information

  • Author

    Zafar, Ammar ; Radaydeh, Redha M. ; Chen, Yunfei ; Alouini, Mohamed-Slim

  • Author_Institution
    EE Program, King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
  • Volume
    1
  • Issue
    6
  • fYear
    2012
  • fDate
    12/1/2012 12:00:00 AM
  • Firstpage
    553
  • Lastpage
    556
  • Abstract
    In this letter, energy-efficient transmission and power allocation for fixed-gain amplify-and-forward relay networks with partial channel state information (CSI) are studied. In the energy-efficiency problem, the total power consumed is minimized while keeping the signal-to-noise-ratio (SNR) above a certain threshold. In the dual problem of power allocation, the end-to-end SNR is maximized under individual and global power constraints. Closed-form expressions for the optimal source and relay powers and the Lagrangian multiplier are obtained. Numerical results show that the optimal power allocation with partial CSI provides comparable performance as optimal power allocation with full CSI at low SNR.
  • Keywords
    amplify and forward communication; channel allocation; cooperative communication; relay networks (telecommunication); CSI; Lagrangian multiplier; closed-form expressions; cooperative communication; end-to-end SNR; energy-efficient power allocation; fixed-gain amplify-and-forward relay networks; partial channel state information; relay power; signal-to-noise-ratio; Amplifiers; Channel state information; Optimization; Power distribution; Resource management; Signal to noise ratio; Wireless communication; Amplify-and-Forward; cooperative communications; energy-efficiency; fixed-gain relays; optimal power allocation;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/WCL.2012.080112.120318
  • Filename
    6261329