AoI-constrained transmission scheduling with HARQ and heterogeneous sampling processes |
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Author: | Sadeghi Vilni, Saeid1; Moltafet, Mohammad1; Leinonen, Markus1; |
Organizations: |
1Centre for Wireless Communications - Radio Technologies, University of Oulu, Finland 2Department of Science and Technology, Linköping University, Sweden |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.5 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe20230928137719 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2023
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Publish Date: | 2023-09-28 |
Description: |
AbstractWe consider a hybrid automatic repeat request (HARQ) based status update system where timely information from multiple sources with different sampling processes (uncontrollable and controllable sampling) is sent via a transmitter to a destination through an error-prone channel. To minimize the average number of transmissions subject to an average age of information constraint, we propose a near-optimal deterministic transmission policy. We formulate a constrained Markov decision process (CMDP) problem and provide a solution using the Lagrangian relaxation method and relative value iteration algorithm. Numerical results show that the proposed policy achieves near-optimal performance. see all
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Series: |
IEEE Conference on Computer Communications workshops |
ISSN: | 2159-4228 |
ISSN-E: | 2833-0587 |
ISSN-L: | 2159-4228 |
ISBN: | 978-1-6654-9427-4 |
ISBN Print: | 978-1-6654-9428-1 |
Article number: | 10225960 |
DOI: | 10.1109/INFOCOMWKSHPS57453.2023.10225960 |
OADOI: | https://oadoi.org/10.1109/INFOCOMWKSHPS57453.2023.10225960 |
Host publication: |
IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
Conference: |
IEEE Conference on Computer Communications Workshops |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
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 346208 340171 |
Detailed Information: |
323698 (Academy of Finland Funding decision) 346208 (Academy of Finland Funding decision) 340171 (Academy of Finland Funding decision) |
Copyright information: |
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