• DocumentCode
    3521709
  • Title

    Joint power allocation based on link reliability for MIMO systems assisted by relay

  • Author

    Li, Chunguo ; Yang, Luxi ; Zhu, Wei-Ping

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2637
  • Lastpage
    2640
  • Abstract
    A new optimization criterion is proposed to minimize error probability for the proposed joint optimal power allocation (PA) of the MIMO systems enhanced by relay in this paper. It is proved that the cost function obtained is only convex with respect to (w.r.t.) the power parameters of the source or those of the relay separately, but not convex w.r.t. the whole parameters. In order to use convex optimization methods with high efficiency to solve this complicated problem, a tight upper bound of the sum MSE (mean squared error) is derived, and employed to modify the cost function in order to obtain a convex problem. It is verified through simulation results that the proposed PA scheme outperforms the existing one.
  • Keywords
    MIMO communication; channel allocation; channel capacity; convex programming; error statistics; mean square error methods; radio links; telecommunication network reliability; MIMO system; MSE; channel capacity; convex optimization criterion; cost function; error probability; joint optimal power allocation; mean squared error method; radio link reliability; relays; Channel capacity; Cost function; Covariance matrix; Information science; MIMO; Power system relaying; Power system reliability; Relays; Reliability theory; Symmetric matrices; MIMO; convex optimization; power allocation; relay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960164
  • Filename
    4960164