A. Zakeri, M. Moltafet, M. Leinonen and M. Codreanu, "Minimizing the AoI in Multi-Source Two-Hop Systems under an Average Resource Constraint," 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022, pp. 1-5, doi: 10.1109/SPAWC51304.2022.9834029.
Minimizing the AoI in multi-source two-hop systems under an average resource constraint
|Author:||Zakeri, Abolfazl1; Moltafet, Mohammad1; Leinonen, Markus1;|
1Centre for Wireless Communications – Radio Technologies University of Oulu, Finland
2Department of Science and Technology Linkoping University, Sweden
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202301041411
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-01-04
We develop online scheduling policies to minimize the sum average age of information (AoI) subject to transmission capacity and long-run average resource constraints in a multisource two-hop system, where independent sources randomly generate status update packets which are sent to the destination via a relay through error-prone links. A stochastic optimization problem is formulated and solved in known and unknown environments. For the known environment, an online nearoptimal low-complexity policy is developed using the driftplus-penalty method. For the unknown environment, a deep reinforcement learning policy is developed by employing the Lyapunov optimization theory and a dueling double deep Qnetwork. Simulation results show up to 136% performance improvement of the proposed policy compared to a greedy-based baseline policy.
IEEE International Workshop on Signal Processing Advances in Wireless Communications
|Pages:||1 - 5|
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)
IEEE International Workshop on Signal Processing Advances in Wireless Communication
|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 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 (Academy of Finland Funding decision)
346208 (Academy of Finland Funding decision)
340171 (Academy of Finland Funding decision)
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