• DocumentCode
    1850728
  • Title

    Noncausal Zero-Forcing precoding subject to individual channel power constraints

  • Author

    Li, Shenpeng ; Zhang, Jingxin ; Chai, Li

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC, Australia
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    1623
  • Lastpage
    1627
  • Abstract
    This paper investigates Zero Forcing (ZF) precoding in MIMO FB channels subject to individual channel power constraints. It shows that the optimal ZF precoder is non-causal in general and presents a general formulation for the design of optimal noncausal ZF precoder subject to individual channel power constraints. A convex optimization based method is derived from the formulation to design optimal noncausal precoder. Numerical example demonstrates the effectiveness of the design method and the advantage of the designed optimal noncausal ZF precoder.
  • Keywords
    MIMO communication; codecs; convex programming; telecommunication channels; MIMO FB channels; channel power constraints; convex optimization based method; noncausal zero-forcing precoding; optimal noncausal ZF precoder; Convex functions; Finite impulse response filter; MIMO; Optimization; Signal to noise ratio; Transmitters; Zero-forcing precoding; convex optimization; noncausal systems; oversampled filter banks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334011