Multi-linear Encoding and Decoding for MIMO Systems
编号:89 访问权限:仅限参会人 更新:2020-08-05 10:17:28 浏览:484次 口头报告

报告开始:2020年06月08日 15:00(Asia/Shanghai)

报告时间:20min

所在会场:[S] Special Session [SS12] Structured Matrix/Tensor Decompositions: Models, Applications And Fast Algorithms

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摘要
The objective of future wireless communication systems is to provide a reliable and high quality of service. We propose multi-linear encoding and decoding strategies by exploiting Kronecker-structured constant modulus constellations for providing a low bit error ratio (BER) in multiple-input-multiple-output (MIMO) systems. The encoding schemes are based on of the one-layer Khatri-Rao, two-layer Khatri-Rao and hybrid Kronecker-Khatri-Rao encoding processes. The corresponding multi-linear decoders consist of closed-form algorithms based on rank-one approximations of matrices and/or tensors. Compared with the convolutional codes with hard and soft Viterbi decoders, the proposed multi-linear encoding and decoding strategies outperform the latter in terms of BER for the same spectral efficiency.
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报告人
Fazal-E- Asim
Federal University of Cear?Brazil, Brazil

稿件作者
Fazal-E- Asim Federal University of Cear?Brazil, Brazil
Andr?de Almeida Federal University of Cear?& Wireless Telecom Research Group - GTEL, Brazil
Martin Haardt Ilmenau University of Technology, Germany
Charles Casimiro Federal University of Cear? Brazil
Josef A. TU Munich, Germany & Federal University of Ceara, Fortaleza, Brazil
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重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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