• DocumentCode
    1851329
  • Title

    Power optimization for an amplify-and-forward half-duplex two-way relay system

  • Author

    Na He ; Jian-Kang Zhang ; Wong, K.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
  • Volume
    2
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1495
  • Lastpage
    1499
  • Abstract
    In this paper, we consider an amplify and forward half-duplex two-way-relay wireless communication system. For such a system, we estimate the channel information using a particular test signal set. The actual transmitted signal from a normalized square QAM constellation is then detected by choosing the symbol in the QAM constellation closest in distance to it. We derive an error probability which is found to be signal dependent for this system. An optimum design problem under a transmission power constraint based on this signal dependent asymptotic formula is then formulated leading to the optimum transmission power condition. Simulations show that under this optimum power transmission condition the system indeed yields optimum performance.
  • Keywords
    amplify and forward communication; channel estimation; error statistics; protocols; quadrature amplitude modulation; radio networks; radiofrequency interference; relay networks (telecommunication); AF protocol; amplify-and-forward half-duplex two-way-relay wireless communication system; channel information estimation; error probability; interference cancellation; normalized square QAM constellation detection; optimum design problem; optimum transmission power condition; power optimization; relay node; signal dependent asymptotic formula; transmission power constraint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491858
  • Filename
    6491858