M. Moltafet, M. Leinonen and M. Codreanu, "An Approximate Expression for the Average AoI in a Multi-Source M/G/1 Queueing Model," 2020 2nd 6G Wireless Summit (6G SUMMIT), Levi, Finland, 2020, pp. 1-5, doi: 10.1109/6GSUMMIT49458.2020.9083844
An approximate expression for the average AoI in a multi-source M/G/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, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020050725533
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-05-07
Freshness of status update packets is essential for wide range of real-time Internet of things applications. In this paper, we study the information freshness of a single-server multi-source queueing model under a first-come first-served (FCFS) serving policy. In the considered model, each source independently generates status update packets according to a Poisson process. The information freshness of the status updates of each source is evaluated by the average age of information (AoI). We derive an approximate expression for the average AoI for a multi-source M/G/1 queueing model having a general service time distribution. Simulation results are provided to validate and assess the tightness of the proposed approximate expression for the average AoI in the M/G/1 queueing model where the service time follows a gamma distribution.
|Pages:||1 - 5|
2020 2nd 6G Wireless Summit (6G SUMMIT)
6G Wireless Summit
|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.
|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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