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A. Zakeri, M. Moltafet, M. Leinonen and M. Codreanu, "Query-Age-Optimal Scheduling under Sampling and Transmission Constraints," in IEEE Communications Letters, doi: 10.1109/LCOMM.2023.3247244

Query-age-optimal scheduling under sampling and transmission constraints

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Author: Zakeri, Abolfazl1; Moltafet, Mohammad2; Leinonen, Markus1;
Organizations: 1CWC-RT, University of Oulu, Finland
2Department of Electrical and Computer Engineering University of California Santa Cruz, USA
3Department of Science and Technology, Linköping University, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2023022728676
Language: English
Published: Institute of Electrical and Electronics Engineers, 2023
Publish Date: 2023-02-27
Description:

Abstract

This letter provides query-age-optimal joint sampling and transmission scheduling policies for a heterogeneous status update system, consisting of a stochastic arrival and a generate-at-will source, with an unreliable channel. Our main goal is to minimize the average query age of information (QAoI) subject to average sampling, average transmission, and per-slot transmission constraints. To this end, an optimization problem is formulated and solved by casting it into a linear program. We also provide a low-complexity near-optimal policy using the notion of weakly-coupled constrained Markov decision processes. The numerical results show up to 32% performance improvement by the proposed policies compared with a benchmark policy.

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Series: IEEE communications letters
ISSN: 1089-7798
ISSN-E: 2373-7891
ISSN-L: 1089-7798
Issue: Online first
DOI: 10.1109/lcomm.2023.3247244
OADOI: https://oadoi.org/10.1109/lcomm.2023.3247244
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Article
Funding: This research has been financially supported by the Infotech Oulu, the Academy of Finland (grant 323698), and 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
346208
340171
Detailed Information: 323698 (Academy of Finland Funding decision)
346208 (Academy of Finland Funding decision)
340171 (Academy of Finland Funding decision)
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