Conference paper Open Access

Advanced Hardware Architectures for Turbo Code Decoding Beyond 100 Gb/s

Weithoffer, S.; Griebel, O.; Klaimi, R.; Nour, C.; Wehn, N.


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  <identifier identifierType="URL">https://zenodo.org/record/3971793</identifier>
  <creators>
    <creator>
      <creatorName>Weithoffer, S.</creatorName>
      <givenName>S.</givenName>
      <familyName>Weithoffer</familyName>
      <affiliation>IMT Atlantique</affiliation>
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    <creator>
      <creatorName>Griebel, O.</creatorName>
      <givenName>O.</givenName>
      <familyName>Griebel</familyName>
      <affiliation>Technische Universitat Kaiserslautern</affiliation>
    </creator>
    <creator>
      <creatorName>Klaimi, R.</creatorName>
      <givenName>R.</givenName>
      <familyName>Klaimi</familyName>
      <affiliation>IMT Atlantique</affiliation>
    </creator>
    <creator>
      <creatorName>Nour, C.</creatorName>
      <givenName>C.</givenName>
      <familyName>Nour</familyName>
      <affiliation>IMT Atlantique</affiliation>
    </creator>
    <creator>
      <creatorName>Wehn, N.</creatorName>
      <givenName>N.</givenName>
      <familyName>Wehn</familyName>
      <affiliation>Technische Universitat Kaiserslautern</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Advanced Hardware Architectures for Turbo Code Decoding Beyond 100 Gb/s</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Forward Error Correction</subject>
    <subject>Turbo decoder</subject>
    <subject>Fully Parallel</subject>
    <subject>High-throughput</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-08-04</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3971793</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/WCNC45663.2020.9120779</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/epic_h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In this paper, we present two new hardware architectures for Turbo Code decoding that combine functional, spatial and iteration parallelism. Our first architecture is the first fully pipelined iteration unrolled architecture that supports multiple frame sizes. This frame flexibility is achieved by providing a set of interleavers designed to achieve a hardware implementation with a reduced routing overhead. The second architecture efficiently utilizes the dynamics of the error rate distribution for different decoding iterations and is comprised of two stages. First, a fully pipelined iteration unrolled decoder stage applied for a pre-determined number of iterations and a second stage with an iterative afterburner-decoder activated only for frames not successfully decoded by the first stage. We give post place &amp;amp; route results for implementations of both architectures for a maximum frame size of K = 128 and demonstrate a throughput of 102:4 Gb/s in 28 nm FDSOI technology.With an area efficiency of 6:19 and 7:15 Gb/s/mm2 our implementations clearly outperform state of the art.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/760150/">760150</awardNumber>
      <awardTitle>Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding</awardTitle>
    </fundingReference>
  </fundingReferences>
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