1 Ocak 2021 Dergi makalesi Açık Erişim

Yavascan, Orhan Tahir; Uysal, Elif

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/239534</identifier>
  <creators>
    <creator>
      <creatorName>Yavascan, Orhan Tahir</creatorName>
      <givenName>Orhan Tahir</givenName>
      <familyName>Yavascan</familyName>
      <affiliation>Middle East Tech Univ METU, Dept Elect &amp; Elect Engn, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Uysal, Elif</creatorName>
      <givenName>Elif</givenName>
      <familyName>Uysal</familyName>
      <affiliation>Middle East Tech Univ METU, Dept Elect &amp; Elect Engn, TR-06800 Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Analysis Of Slotted Aloha With An Age Threshold</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/239534</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/JSAC.2021.3065043</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">We present a comprehensive steady-state analysis of threshold-ALOHA, a distributed age-aware modification of slotted ALOHA proposed in recent literature. In threshold-ALOHA, each terminal suspends its transmissions until the Age of Information (AoI) of the status update flow it is sending reaches a certain threshold G. Once the age exceeds G, the terminal attempts transmission with constant probability t in each slot, as in standard slotted ALOHA. We analyze the time-average expected AoI attained by this policy, and explore its scaling with network size, n. We derive the probability distribution of the number of active users at steady state, and show that as network size increases the policy converges to one that runs slotted ALOHA with fewer sources: on average about one fifth of the users is active at any time. We obtain an expression for steady-state expected AoI and use this to optimize the parameters G and t, resolving the conjectures in previous literature by confirming that the optimal age threshold and transmission probability are 2.2n and 4.69/n, respectively. We find that the optimal AoI scales with the network size as 1.4169n, which is almost half the minimum AoI achievable with slotted ALOHA, while the loss from the maximum throughput of e-1 remains below 1%. We compare the performance of this rudimentary algorithm to that of the SAT policy [2] that dynamically adapts its transmission probabilities.</description>
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