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On the Integration of Grassmannian Constellations into LTE Networks: a Link-level Performance Study

Cabrejas, Jorge; Martín-Sacristán, David; Roger, Sandra; Calabuig, Daniel; Monserrat, Jose F.


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  <identifier identifierType="DOI">10.5281/zenodo.887207</identifier>
  <creators>
    <creator>
      <creatorName>Cabrejas, Jorge</creatorName>
      <givenName>Jorge</givenName>
      <familyName>Cabrejas</familyName>
      <affiliation>Universitat Politècnica de València, iTEAM research institute</affiliation>
    </creator>
    <creator>
      <creatorName>Martín-Sacristán, David</creatorName>
      <givenName>David</givenName>
      <familyName>Martín-Sacristán</familyName>
      <affiliation>Universitat Politècnica de València, iTEAM research institute</affiliation>
    </creator>
    <creator>
      <creatorName>Roger, Sandra</creatorName>
      <givenName>Sandra</givenName>
      <familyName>Roger</familyName>
      <affiliation>Universitat Politècnica de València, iTEAM research institute</affiliation>
    </creator>
    <creator>
      <creatorName>Calabuig, Daniel</creatorName>
      <givenName>Daniel</givenName>
      <familyName>Calabuig</familyName>
      <affiliation>Universitat Politècnica de València, iTEAM research institute</affiliation>
    </creator>
    <creator>
      <creatorName>Monserrat, Jose F.</creatorName>
      <givenName>Jose F.</givenName>
      <familyName>Monserrat</familyName>
      <affiliation>Universitat Politècnica de València, iTEAM research institute</affiliation>
    </creator>
  </creators>
  <titles>
    <title>On the Integration of Grassmannian Constellations into LTE Networks: a Link-level Performance Study</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>Grassmannian signaling; transmit diversity; LTE; OFDM; channel correlation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-09-07</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/887207</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.887206</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This paper presents Grassmannian signaling as a transmission scheme that can be integrated in Long Term Evolution (LTE) to support higher user speeds and to increase the throughput achievable in the high Signal to Noise Ratio (SNR) regime. This signaling is compared, under realistic channel assumptions, with the diversity transmission modes standardized in LTE, in particular, Space-Frequency Block Coding and Frequency-Switched Transmit Diversity for two and four transmit antennas, respectively. In high-speed scenarios, and even with high antenna correlation, Grassmannian signaling outperforms the LTE diversity transmission modes starting from four transmit antennas. Furthermore, in the high SNR regime, Grassmannian signaling can increase the link data rate up to 10% and 15% for two and four antennas, respectively.&lt;/p&gt;</description>
    <description descriptionType="Other">(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/671680/">671680</awardNumber>
      <awardTitle>Mobile and wireless communications Enablers for Twenty-twenty (2020) Information Society-II</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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