• DocumentCode
    1714998
  • Title

    Limited feedback for x-structured precoding in spatial-multiplexing MIMO systems

  • Author

    Chun-Tao Lin ; Wen-Rong Wu

  • Author_Institution
    Inst. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    X-structured precoding has been considered a promising precoding method for MIMO systems with maximum-likelihood (ML) receivers. It not only simplifies the precoder design, but allows a low-complexity ML detection scheme. For a real-world precoding scheme, a precoder can only be selected from a codebook and its index is fed back to the transmitter, known as limited-feedback precoding. Due to its special structure, two codebooks are required in X-structured precoding. In this paper, we first investigate how to construct the codebooks for X-structured precoding. Then, we consider the detection problem in limited-feedback X-structured precoding in which the X-structure no longer holds. With group successive interference cancelation, we propose a MIMO detection method to solve the problem. The synergy of the proposed methods yields a low-complexity ML precoding and detection scheme. Simulations show that the proposed methods provide satisfactory results.
  • Keywords
    MIMO communication; interference suppression; maximum likelihood detection; precoding; radio receivers; radio transmitters; MIMO detection method; codebook; limited-feedback X-structured precoding; low-complexity ML detection scheme; maximum- likelihood receivers; spatial-multiplexing MIMO systems; successive interference cancelation; transmitter; Covariance matrices; Detectors; MIMO; Receivers; Signal to noise ratio; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4799-0433-4
  • Type

    conf

  • DOI
    10.1109/ICICS.2013.6782946
  • Filename
    6782946