Code Design for Iterative Decoding of Multilevel Codes.

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Bibliographic Details
Title: Code Design for Iterative Decoding of Multilevel Codes.
Authors: Wang, Yi, Burr, Alister G.
Source: IEEE Transactions on Communications. Jul2015, Vol. 63 Issue 7, p2404-2419. 16p.
Subjects: Multilevel codes, Iterative decoding, Modulation coding, Simulation methods & models, Binary codes
Abstract: The code design problem for multilevel coded modulation with iterative decoding (MLCM-ID) has been left unsolved over a decade. In this paper, we define the code design criterion for MLCM-ID based on a novel concept—parametrically-mapped EXIT (PM-EXIT) function. We derive the EXIT functions for MLCM-ID, and present the mathematical work by which the three area theorems of PM-EXIT function are proved. This gives theoretical support of the curve-fitting techniques used in MLCM-ID, and also provides firm proof that the PM-EXIT function design rule allows in principle capacity-achieving code assignment. The simulation results perfectly match the theoretical analysis, and also confirm that the design rule proposed fully exploits the flexibility of MLCM-ID in the choice of codes. Both in theory and simulations, our code design is verified. [ABSTRACT FROM PUBLISHER]
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  Data: Code Design for Iterative Decoding of Multilevel Codes.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Yi%22">Wang, Yi</searchLink><br /><searchLink fieldCode="AR" term="%22Burr%2C+Alister+G%2E%22">Burr, Alister G.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Communications%22">IEEE Transactions on Communications</searchLink>. Jul2015, Vol. 63 Issue 7, p2404-2419. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Multilevel+codes%22">Multilevel codes</searchLink><br /><searchLink fieldCode="DE" term="%22Iterative+decoding%22">Iterative decoding</searchLink><br /><searchLink fieldCode="DE" term="%22Modulation+coding%22">Modulation coding</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Binary+codes%22">Binary codes</searchLink>
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  Label: Abstract
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  Data: The code design problem for multilevel coded modulation with iterative decoding (MLCM-ID) has been left unsolved over a decade. In this paper, we define the code design criterion for MLCM-ID based on a novel concept—parametrically-mapped EXIT (PM-EXIT) function. We derive the EXIT functions for MLCM-ID, and present the mathematical work by which the three area theorems of PM-EXIT function are proved. This gives theoretical support of the curve-fitting techniques used in MLCM-ID, and also provides firm proof that the PM-EXIT function design rule allows in principle capacity-achieving code assignment. The simulation results perfectly match the theoretical analysis, and also confirm that the design rule proposed fully exploits the flexibility of MLCM-ID in the choice of codes. Both in theory and simulations, our code design is verified. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Communications is the property of IEEE 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: 10.1109/TCOMM.2015.2438067
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 2404
    Subjects:
      – SubjectFull: Multilevel codes
        Type: general
      – SubjectFull: Iterative decoding
        Type: general
      – SubjectFull: Modulation coding
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Binary codes
        Type: general
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      – TitleFull: Code Design for Iterative Decoding of Multilevel Codes.
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            NameFull: Wang, Yi
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            NameFull: Burr, Alister G.
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              Text: Jul2015
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              Y: 2015
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