M. Moltafet, M. Leinonen and M. Codreanu, "Average Age of Information for a Multi-Source M/M/1 Queueing Model With Packet Management," 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 2020, pp. 1765-1769, doi: 10.1109/ISIT44484.2020.9174099
Average age of information for a multi-source M/M/1 queueing model with packet management
|Author:||Moltafet, Mohammad1; Leinonen, Markus1; Codreanu, Marian2|
1Centre for Wireless Communications – Radio Technologies, University of Oulu, Finland
2Department of Science and Technology Linköping University, Sweden
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020111790888
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-11-17
We consider a status update system consisting of two independent sources, one server, and one sink. The packets of different sources are generated according to the Poisson process and the packets are served according to an exponentially distributed service time. We consider the following packet management policy. When the system is empty, any arriving packet immediately enters the server; when the server is busy, a packet of a source waiting in the queue is replaced if a new packet of the same source arrives. We derive the average age of information (AoI) of the considered M/M/1 queueing model by using the stochastic hybrid systems (SHS) technique. Numerical results are provided to show the effectiveness of the proposed policy.
IEEE International Symposium on Information Theory proceedings
|Pages:||1765 - 1769|
2020 IEEE International Symposium on Information Theory, ISIT 2020
IEEE International Symposium on Information Theory
|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 and HPY Research 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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