• DocumentCode
    2899323
  • Title

    Power Allocation for the Fading Relay Channel with Limited Feedback

  • Author

    Liu, Yong ; Chen, Wen ; Zhang, Jietao ; Luo, Zezhou

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It has been shown that channel state information (CSI) at transmitter can significantly increase the performance of a relay system. However, most of the existing designs assume perfect CSI at the transmitters. Since most practical systems can only obtain partial CSI at the transmitters, it is necessary to analyze the relay channels with limited CSI feedback. Our objective in this paper is to find the optimal power allocation strategy for relay channel under different levels of transmitter CSI, with the system outage probability constraint. We consider a Decode-and-Forward (DF) cooperative diversity model where one source node communicates with one destination node assisted by one half duplex relay. The Lloyd Algorithm is employed to quantize the CSI at receiver and construct the codebook, whose copies are also equipped on the source and the relay nodes. Each code in the codebook is a power allocation vector. Simulation results show that a few feedback bits can significantly improve the system performance.
  • Keywords
    MIMO communication; error statistics; fading channels; Lloyd algorithm; MΓMO systems; channel state information; decode-and-forward cooperative diversity; fading relay channel; limited feedback; multiple-input multiple-output techniques; power allocation; relay nodes; source node communicates; system outage probability constraint; Decoding; Fading; Feedback; MIMO; Peer to peer computing; Power engineering and energy; Power system relaying; Relays; System performance; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4244-6402-9
  • Type

    conf

  • DOI
    10.1109/ICC.2010.5501901
  • Filename
    5501901