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Optimisation design of systematic LT codes over AWGN multiple access channel.

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Title: Optimisation design of systematic LT codes over AWGN multiple access channel.
Authors: Dachun Deng1,2, Dazhuan Xu1,2, Shengkai Xu1,2
Source: IET Communications (Wiley-Blackwell). 2018, Vol. 12 Issue 12, p1351-1359. 9p. 1 Chart, 10 Graphs.
Subjects: Luby transform codes, Additive white Gaussian noise channels, Multiple access protocols (Computer network protocols), Bit error rate, Mathematical optimization
Abstract: Systematic Luby transform (SLT) codes over the additive white Gaussian noise (AWGN) multiple access channels (MACs) are analysed in this study. The authors introduce a novel optimisation model extending from the point-to-point AWGN channels to design the degree distributions over the AWGN MACs, which dramatically improve the bit-error-rate (BER) performance of SLT codes. First, they extend the Gaussian approximation analysis of SLT codes to the AWGN MACs to analyse the asymptotic BER performance where the symmetric condition of log-likelihood ratio message can no longer be assumed. Second, based on the asymptotic BER analysis over the AWGN MACs, they extend the existing optimisation model from the point-to-point AWGN channels to the AWGN MACs. Simulation results show that the degree distributions obtained in this study outperform other common degree distributions (optimised for single-user AWGN channels) over the two-user AWGN MACs. [ABSTRACT FROM AUTHOR]
Copyright of IET Communications (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 130686328
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: Optimisation design of systematic LT codes over AWGN multiple access channel.
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  Data: <searchLink fieldCode="AR" term="%22Dachun+Deng%22">Dachun Deng</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Dazhuan+Xu%22">Dazhuan Xu</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Shengkai+Xu%22">Shengkai Xu</searchLink><relatesTo>1,2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22IET+Communications+%28Wiley-Blackwell%29%22">IET Communications (Wiley-Blackwell)</searchLink>. 2018, Vol. 12 Issue 12, p1351-1359. 9p. 1 Chart, 10 Graphs.
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  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Luby+transform+codes%22">Luby transform codes</searchLink><br /><searchLink fieldCode="DE" term="%22Additive+white+Gaussian+noise+channels%22">Additive white Gaussian noise channels</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+access+protocols+%28Computer+network+protocols%29%22">Multiple access protocols (Computer network protocols)</searchLink><br /><searchLink fieldCode="DE" term="%22Bit+error+rate%22">Bit error rate</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Systematic Luby transform (SLT) codes over the additive white Gaussian noise (AWGN) multiple access channels (MACs) are analysed in this study. The authors introduce a novel optimisation model extending from the point-to-point AWGN channels to design the degree distributions over the AWGN MACs, which dramatically improve the bit-error-rate (BER) performance of SLT codes. First, they extend the Gaussian approximation analysis of SLT codes to the AWGN MACs to analyse the asymptotic BER performance where the symmetric condition of log-likelihood ratio message can no longer be assumed. Second, based on the asymptotic BER analysis over the AWGN MACs, they extend the existing optimisation model from the point-to-point AWGN channels to the AWGN MACs. Simulation results show that the degree distributions obtained in this study outperform other common degree distributions (optimised for single-user AWGN channels) over the two-user AWGN MACs. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IET Communications (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1049/iet-com.2017.1063
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 1351
    Subjects:
      – SubjectFull: Luby transform codes
        Type: general
      – SubjectFull: Additive white Gaussian noise channels
        Type: general
      – SubjectFull: Multiple access protocols (Computer network protocols)
        Type: general
      – SubjectFull: Bit error rate
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
    Titles:
      – TitleFull: Optimisation design of systematic LT codes over AWGN multiple access channel.
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            NameFull: Dachun Deng
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            NameFull: Dazhuan Xu
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            NameFull: Shengkai Xu
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              M: 07
              Text: 2018
              Type: published
              Y: 2018
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              Value: 12
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              Value: 12
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            – TitleFull: IET Communications (Wiley-Blackwell)
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