University of Oulu

M. Moltafet, M. Leinonen and M. Codreanu, "AoI in Source-Aware Preemptive M/G/1/1 Queueing Systems: Moment Generating Function," 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, 2022, pp. 139-143, doi: 10.1109/ISIT50566.2022.9834671.

AoI in source-aware preemptive M/G/1/1 queueing systems : moment generating function

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Author: Moltafet, Mohammad1; Leinonen, Markus1; Codreanu, Marian2
Organizations: 1Centre for Wireless Communications–Radio Technologies, University of Oulu, 90014 Oulu, Finland
2Department of Science and Technology, Linkoping University, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-02-10


We consider a multi-source status update system consisting of multiple independent sources, one server, and one sink. The packets of the sources are generated according to Poisson processes and served according to a generally distributed service time. We consider a system with no waiting buffer and model it as a multi-source M/G/1/1 queueing model. We introduce a source-aware preemptive packet management policy and subsequently derive the moment generating functions (MGFs) of the age of information (AoI) and peak AoI of each source. According to the policy, when a packet arrives, the possible packet of the same source in the system is replaced by the fresh packet. Simulation results show the performance of the packet management policy.

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Series: IEEE International Symposium on Information Theory proceedings
ISSN: 2157-8095
ISSN-E: 2157-8117
ISSN-L: 2157-8095
ISBN: 978-1-6654-2159-1
Pages: 1 - 5
Article number: 21930929
DOI: 10.1109/isit50566.2022.9834671
Host publication: 2022 IEEE International Symposium on Information Theory (ISIT), June 26 - July 1, 2022, Espoo, Finland
Conference: IEEE International Symposium on Information Theory
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: This research has been financially supported by the Infotech Oulu, the Academy of Finland (grant 323698), and Academy of Finland 6G Flagship program (grant 346208). The work of M. Leinonen has also been financially supported in part by the Academy of Finland (grant 340171).
Academy of Finland Grant Number: 323698
Detailed Information: 323698 (Academy of Finland Funding decision)
346208 (Academy of Finland Funding decision)
340171 (Academy of Finland Funding decision)
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