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An auxiliary variable-aided hybrid message passing approach to joint channel estimation and decoding for MIMO-OFDM

Journal Article


Abstract


  • This letter deals with message passing receiver design

    for joint channel estimation and decoding in MIMO-OFDM

    with unknown noise variance. The conventional factor graph

    representation for the system involves observation factors, which

    are functions of a number of variables in the form of multiplication

    and summation. In this work, by introducing some auxiliary

    variables, we further break each of the observation factors

    into several factors, which enables the use of hybrid mean field

    (MF), belief propagation (BP), and expectation propagation (EP)

    message passing to tackle the observation factors. It turns out that

    our approach is much more efficient than the existing approaches,

    leading to remarkable performance improvement as shown by

    simulation results.

UOW Authors


  •   Yuan, Zhengdao (external author)
  •   Zhang, Chuanzong (external author)
  •   Wang, Zhongyong (external author)
  •   Guo, Qinghua
  •   Xi, Jiangtao

Publication Date


  • 2017

Citation


  • Z. Yuan, C. Zhang, Z. Wang, Q. Guo & J. Xi, "An auxiliary variable-aided hybrid message passing approach to joint channel estimation and decoding for MIMO-OFDM," IEEE Signal Processing Letters, vol. 24, (1) pp. 12-16, 2017.

Scopus Eid


  • 2-s2.0-85012917087

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6394

Has Global Citation Frequency


Number Of Pages


  • 4

Start Page


  • 12

End Page


  • 16

Volume


  • 24

Issue


  • 1

Place Of Publication


  • United States

Abstract


  • This letter deals with message passing receiver design

    for joint channel estimation and decoding in MIMO-OFDM

    with unknown noise variance. The conventional factor graph

    representation for the system involves observation factors, which

    are functions of a number of variables in the form of multiplication

    and summation. In this work, by introducing some auxiliary

    variables, we further break each of the observation factors

    into several factors, which enables the use of hybrid mean field

    (MF), belief propagation (BP), and expectation propagation (EP)

    message passing to tackle the observation factors. It turns out that

    our approach is much more efficient than the existing approaches,

    leading to remarkable performance improvement as shown by

    simulation results.

UOW Authors


  •   Yuan, Zhengdao (external author)
  •   Zhang, Chuanzong (external author)
  •   Wang, Zhongyong (external author)
  •   Guo, Qinghua
  •   Xi, Jiangtao

Publication Date


  • 2017

Citation


  • Z. Yuan, C. Zhang, Z. Wang, Q. Guo & J. Xi, "An auxiliary variable-aided hybrid message passing approach to joint channel estimation and decoding for MIMO-OFDM," IEEE Signal Processing Letters, vol. 24, (1) pp. 12-16, 2017.

Scopus Eid


  • 2-s2.0-85012917087

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6394

Has Global Citation Frequency


Number Of Pages


  • 4

Start Page


  • 12

End Page


  • 16

Volume


  • 24

Issue


  • 1

Place Of Publication


  • United States