• DocumentCode
    3432524
  • Title

    Joint transceiver designs using lattice reduction algorithms

  • Author

    Qi Zhou ; Xiaoli Ma

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2013
  • fDate
    6-10 July 2013
  • Firstpage
    584
  • Lastpage
    588
  • Abstract
    This paper proposes a novel linear transceiver design using lattice reduction algorithms. We propose a novel transceiver optimization problem that aims to minimize the sum of mean square errors (MSEs) of information symbols in a lattice-reduced domain. To alleviate the high complexity of solving the optimization problem, we devise an alternating algorithm to find a sub-optimal solution with low complexity. Since the optimized sum of MSEs of the information symbols in the lattice-reduced domain is smaller than that of information symbols, the proposed design achieves better error performance. Simulations are conducted to validate the superior performance of the proposed design.
  • Keywords
    mean square error methods; optimisation; radio transceivers; MSEs; information symbols; joint linear transceiver designs; lattice reduction algorithms; lattice-reduced domain; mean square errors; suboptimal solution; transceiver optimization problem; Algorithm design and analysis; Covariance matrices; Joints; Lattices; MIMO; Optimization; Transceivers; Lattice reduction; MIMO; joint transceiver optimization; linear precoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2013.6625408
  • Filename
    6625408