• DocumentCode
    650926
  • Title

    Low-complexity layered joint detection and decoding for LDPC coded large-MIMO systems

  • Author

    Xiaomu Zhao ; Yabo Li ; Jie Zhong ; Minjian Zhao ; Chen Zheng

  • Author_Institution
    Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    24-26 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    High performance and low complexity detectors are of great importance for MIMO systems, especially large MIMO systems, where there could be tens or hundreds of antennas. In this paper, we propose a layered factor graph based joint detection and decoding algorithm for LDPC coded large MIMO system. The joint factor graph which combines both detection and decoding is adopted, and Gaussian approximation is used to reduce the complexity. In the proposed algorithm, different from existing algorithms, in one iteration, the information of the variable nodes is updated one by one, instead of being updated as a whole. It is shown that the proposed algorithm can achieve better performance than the well-known MMSE based algorithm, but with much lower complexity. To reduce the complexity further, the half layered factor graph based algorithm and QRD pre-processing based algorithm are also proposed.
  • Keywords
    Gaussian processes; MIMO communication; decoding; graph theory; parity check codes; Gaussian approximation; LDPC coded large-MIMO systems; MMSE based algorithm; QRD preprocessing based algorithm; decoding algorithm; half layered factor graph based algorithm; low-complexity layered joint detection; multiple-input multiple-output systems; variable nodes; Factor graph; LDPC code; joint detection and decoding; large MIMO; layered detection; message passing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing (WCSP), 2013 International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/WCSP.2013.6677178
  • Filename
    6677178