Journal article Open Access

5G and Beyond for Contact Tracing

Domenico Giustiniano; Giuseppe Bianchi; Andrea Conti; Stefania Bartoletti; Nicola Blefari-Melazzi


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  <identifier identifierType="DOI">10.5281/zenodo.5157830</identifier>
  <creators>
    <creator>
      <creatorName>Domenico Giustiniano</creatorName>
      <affiliation>IMDEA Networks</affiliation>
    </creator>
    <creator>
      <creatorName>Giuseppe Bianchi</creatorName>
      <affiliation>CNIT and University of Rome Tor Vergata</affiliation>
    </creator>
    <creator>
      <creatorName>Andrea Conti</creatorName>
      <affiliation>CNIT and University of Ferrara</affiliation>
    </creator>
    <creator>
      <creatorName>Stefania Bartoletti</creatorName>
      <affiliation>CNIT and IEIIT-CNR</affiliation>
    </creator>
    <creator>
      <creatorName>Nicola Blefari-Melazzi</creatorName>
      <affiliation>CNIT and University of Rome Tor Vergata</affiliation>
    </creator>
  </creators>
  <titles>
    <title>5G and Beyond for Contact Tracing</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-08-04</date>
  </dates>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5157830</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5157829</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/locus-project</relatedIdentifier>
  </relatedIdentifiers>
  <version>Preprint</version>
  <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;The COVID-19 pandemic has suddenly raised the need for technological solutions capable to trace contacts of people and provide location-based analytics. Several countries have adopted proximity-based (short- range) technologies, such as Bluetooth, which however appear hindered by deployment issues, security leakages, lack of reliability, and data governance concerns. This paper posits that 5G and beyond can play a primary role in contact tracing and group movement monitoring. Contact tracing based on 5G location-based analytics benefits from the pervasive deployment of cellular networks, the several years of effort to design cellular standards for localization and analytics, and the best practices of cellular operators to handle location data.&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/H2020/871249/">871249</awardNumber>
      <awardTitle>LOCalization and analytics on-demand embedded in the 5G ecosystem, for Ubiquitous vertical applicationS</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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