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Non-linear Age of Information in a Discrete Time Queue: Stationary Distribution and Average Performance Analysis
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4416-7702
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. Univ Maryland, MD 20742 USA.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2020 (English)In: ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE , 2020Conference paper, Published paper (Refereed)
Abstract [en]

This paper considers a status update communication system consisting of a source-destination link with timeliness requirements. First, we study the properties of a sample path of the age of information (AoI) process at the destination. Under the assumption of ergodicity, we obtain a general formula of the stationary distribution of the AoI. We relate this result to a discrete time queueing system and provide a general expression of the generating function of AoI in relation with the system time and the peak age of information (PAoI). Furthermore, we consider the first-come-first-served (FCFS) Geo/Geo/1 queue and we obtain closed-form expressions of the generating functions and the stationary distributions of the AoI and the PAoI. We built upon these results to provide a methodology for analyzing general non-linear age functions for this type of systems.

Place, publisher, year, edition, pages
IEEE , 2020.
Series
IEEE International Conference on Communications, ISSN 1550-3607
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-173888DOI: 10.1109/ICC40277.2020.9148775ISI: 000606970301014ISBN: 978-1-7281-5089-5 (electronic)OAI: oai:DiVA.org:liu-173888DiVA, id: diva2:1535918
Conference
IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond, ELECTR NETWORK, jun 07-11, 2020
Note

Funding Agencies|Horizon 2020 Grant, CENIIT, ELLIIT [642743]; Swedish Research Council (VR)Swedish Research Council

Available from: 2021-03-09 Created: 2021-03-09 Last updated: 2021-03-09

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CiteExportLink to record
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Citation style
  • apa
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Output format
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