• DocumentCode
    3490923
  • Title

    Adaptive Power Allocation for Cooperative Relaying System in Fading Wireless Channel

  • Author

    Yu, Guanding ; Zhang, Zhaoyang ; Chen, Yan ; Qiu, Peiliang

  • Author_Institution
    Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    1116
  • Lastpage
    1119
  • Abstract
    Cooperative relaying technique is a promising technique to provide high rate data transmission. In this paper, optimal power adaptation which maximizes the capacity of relaying system in time-variant wireless channel is addressed. Different from the existing power adaptation methods, where the total instantaneous transmit power of the source terminal and the relay terminal is fixed, the total transmit power is allowed to vary with the channel fading state. We develop an equivalent channel gain model for both the amplify-and- forward and the decode-and-forward relaying mode, based on the optimal power adaptation between the source and the relay. Using the equivalent channel gain model, the relaying channel is modeled as an equivalent direct transmission channel. Then, the optimal power adaptation is found by the time domain water- filling approach. With the time-varying nature of wireless fading channel exploited, our approach is capable of achieving higher channel capacity than the existing power adaptation methods.
  • Keywords
    data communication; fading channels; time-varying channels; adaptive power allocation; channel fading state; cooperative relaying system; direct transmission channel; equivalent channel gain; fading wireless channel; high rate data transmission; time domain water-filling; time-variant wireless channel; Channel capacity; Data communication; Data engineering; Decoding; Fading; Power engineering and energy; Power system modeling; Power system relaying; Rayleigh channels; Relays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.285
  • Filename
    4340060