M. Moltafet, M. Leinonen and M. Codreanu, "An Exact Expression for the Average AoI in a Multi-Source M/M/1 Queueing Model," 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, London, United Kingdom, 2020, pp. 1-6, doi: 10.1109/PIMRC48278.2020.9217386
An exact expression for the average AoI in a multi-source M/M/1 queueing model
|Author:||Moltafet, Mohammad1; Leinonen, Markus1; Codreanu, Marian2|
1Centre for Wireless Communications – Radio Technologies University of Oulu, Finland
2Department of Science and Technology Link¨oping University, Sweden
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020112392290
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-11-23
Information freshness is crucial in a wide range of wireless applications where a destination needs the most recent measurements of a remotely observed random process. In this paper, we study the information freshness of a single-server multi-source M/M/1 queueing model under a first-come first-served (FCFS) serving policy. The information freshness of the status updates of each source is evaluated by the average age of information (AoI). We derive an exact expression for the average AoI for the multi-source M/M/1 queueing model. Simulation results are provided to validate the derived exact expression for the average AoI.
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops
|Pages:||1 - 6|
2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research has been financially supported by the Infotech Oulu, the Academy of Finland (grant 323698), and Academy of Finland 6Genesis Flagship (grant 318927). M. Codreanu would like to acknowledge the support of the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 793402 (COMPRESS NETS). The work of M. Leinonen has also been financially supported in part by the Academy of Finland (grant 319485). M. Moltafet would like to acknowledge the support of Finnish Foundation for Technology Promotion, HPY Research Foundation, and Riitta ja Jorma J. Takanen Foundation.
|Academy of Finland Grant Number:||
323698 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
319485 (Academy of Finland Funding decision)
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