Zakeri, A., Moltafet, M., Leinonen, M., & Codreanu, M. (2021). Minimizing AoI in resource-constrained multi-source relaying systems with stochastic arrivals. 2021 IEEE Global Communications Conference (GLOBECOM), 1–6. https://doi.org/10.1109/GLOBECOM46510.2021.9685946
Minimizing AoI in resource-constrained multi-source relaying systems with stochastic arrivals
|Author:||Zakeri, Abolfazl1; Moltafet, Mohammad1; Leinonen, Markus1;|
1Centre for Wireless Communications - Radio Technologies, University of Oulu, Finland
2Linköping University, Sweden
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022030321778
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-03-03
We consider a multi-source relaying system where the sources independently and randomly generate status update packets which are sent to the destination with the aid of a buffer-aided relay through unreliable links. We formulate a stochastic optimization problem aiming to minimize the sum average age of information (AAoI) of sources under per-slot transmission capacity constraints and a long-run average resource constraint. To solve the problem, we recast it as a constrained Markov decision process (CMDP) problem and adopt the Lagrangian method. We analyze the structure of an optimal policy for the resulting MDP problem that possesses a switching-type structure. We propose an algorithm that obtains a stationary deterministic near-optimal policy, establishing a benchmark for the system. Simulation results show the effectiveness of our algorithm compared to benchmark algorithms.
2021 IEEE Global Communications Conference (GLOBECOM) : proceedings
2021 IEEE Global Communications Conference (GLOBECOM)
|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). The work of M. Leinonen has also been ﬁnancially supported in part by the Academy of Finland (grant 319485).
|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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