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Query-Age-Optimal Scheduling under Sampling and Transmission Constraints
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  • Abolfazl Zakeri ,
  • Mohammad Moltafet ,
  • Markus Leinonen ,
  • Marian Codreanu
Abolfazl Zakeri
University of Oulu

Corresponding Author:[email protected]

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Mohammad Moltafet
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Markus Leinonen
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Marian Codreanu
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This paper 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.
Apr 2023Published in IEEE Communications Letters volume 27 issue 4 on pages 1205-1209. 10.1109/LCOMM.2023.3247244