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Improved Interleaving Scheme for PAPR Reduction in MIMO-OFDM Systems

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Intelligent Computing Methodologies (ICIC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10956))

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Abstract

Just like orthogonal frequency division multiplexing (OFDM) systems, the large peak-to-average power ratio (PAPR) as one of the main shortcomings still exists in multi-input multi-output (MIMO) OFDM systems. Interleaving scheme is one of the attractive technologies for PAPR reduction and it can be directly used for each transmit antenna in MIMO-OFDM systems, called as ordinary interleaving scheme. In this paper, an improved interleaving scheme for PAPR reduction in MIMO-OFDM systems is proposed. Different from ordinary interleaving scheme, which transmit antenna is selected to perform the interleaving in proposed interleaving scheme is dominated by PAPR values of OFDM candidate sequences. Namely, the proposed interleaving scheme reorders the sequence from the antenna with the highest PAPR in the successive step after the PAPR of the original OFDM sequences are calculated. As a result, the proposed interleaving scheme can obtain better PAPR reduction performance compared with ordinary interleaving scheme.

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Acknowledgement

This work was supported by the National Natural Science Foundation of China (No. 61501204).

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Authors and Affiliations

  1. School of Information Science and Engineering, University of Jinan, Jinan, 250022, People’s Republic of China

    Lingyin Wang & Xiaoqing Jiang

Authors
  1. Lingyin Wang
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  2. Xiaoqing Jiang
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Correspondence to Lingyin Wang .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Indian Institute of Technology Madras, Chennai, India

    M. Michael Gromiha

  3. Inha University, Incheon, Korea (Republic of)

    Kyungsook Han

  4. Liverpool John Moores University, Liverpool, United Kingdom

    Abir Hussain

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Wang, L., Jiang, X. (2018). Improved Interleaving Scheme for PAPR Reduction in MIMO-OFDM Systems. In: Huang, DS., Gromiha, M., Han, K., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2018. Lecture Notes in Computer Science(), vol 10956. Springer, Cham. https://doi.org/10.1007/978-3-319-95957-3_62

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  • DOI: https://doi.org/10.1007/978-3-319-95957-3_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95956-6

  • Online ISBN: 978-3-319-95957-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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