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Expectation propagation based iterative group wise detection for large-scale multiuser MIMO-OFDM systems

Conference Paper


Abstract


  • For the spatially correlated multiuser MIMOOFDM

    channels, the conventional iterative MMSE-SIC detection

    suffers from a considerable performance loss. In this paper,

    we use the factor graph framework to design robust detection

    algorithms by clustering a group of symbols to combat the spatial

    correlation and using the principle of expectation propagation

    to improve message passing. Furthermore, as the complexity of

    detection becomes one of the issues in the design of large-scale

    multiuser MIMO-OFDM systems, we propose a low-complexity

    approximate message-passing algorithm by opening the channel

    transition node, which eliminates the expensive matrix inversions

    involved in the MMSE-SIC based algorithms. Finally, numerical

    results are presented to verify the proposed algorithms.

UOW Authors


  •   Wu, Sheng (external author)
  •   Kuang, Linling (external author)
  •   Ni, Zuyao (external author)
  •   Lu, Jianhua (external author)
  •   Huang, Defeng (David) (external author)
  •   Guo, Qinghua

Publication Date


  • 2014

Citation


  • S. Wu, L. Kuang, Z. Ni, J. Lu, D. Huang & Q. Guo, "Expectation propagation based iterative group wise detection for large-scale multiuser MIMO-OFDM systems," in IEEE Wireless Communications and Networking Conference, 2014, pp. 236-241.

Scopus Eid


  • 2-s2.0-84912110326

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3098

Has Global Citation Frequency


Start Page


  • 236

End Page


  • 241

Place Of Publication


  • United States

Abstract


  • For the spatially correlated multiuser MIMOOFDM

    channels, the conventional iterative MMSE-SIC detection

    suffers from a considerable performance loss. In this paper,

    we use the factor graph framework to design robust detection

    algorithms by clustering a group of symbols to combat the spatial

    correlation and using the principle of expectation propagation

    to improve message passing. Furthermore, as the complexity of

    detection becomes one of the issues in the design of large-scale

    multiuser MIMO-OFDM systems, we propose a low-complexity

    approximate message-passing algorithm by opening the channel

    transition node, which eliminates the expensive matrix inversions

    involved in the MMSE-SIC based algorithms. Finally, numerical

    results are presented to verify the proposed algorithms.

UOW Authors


  •   Wu, Sheng (external author)
  •   Kuang, Linling (external author)
  •   Ni, Zuyao (external author)
  •   Lu, Jianhua (external author)
  •   Huang, Defeng (David) (external author)
  •   Guo, Qinghua

Publication Date


  • 2014

Citation


  • S. Wu, L. Kuang, Z. Ni, J. Lu, D. Huang & Q. Guo, "Expectation propagation based iterative group wise detection for large-scale multiuser MIMO-OFDM systems," in IEEE Wireless Communications and Networking Conference, 2014, pp. 236-241.

Scopus Eid


  • 2-s2.0-84912110326

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3098

Has Global Citation Frequency


Start Page


  • 236

End Page


  • 241

Place Of Publication


  • United States