Pull or Wait: How to Optimize Query Age of Information
M. Emrullah Ildiz, Orhan T. Yavascan, Elif Uysal, and O. Tugberk, Kartal

TL;DR
This paper investigates how to optimize the timing of status updates in a pull-based communication system to minimize the average age of information at query times, offering new solutions for a complex stochastic shortest path problem.
Contribution
It introduces the Pull-or-Wait problem, compares it with push-based models, and derives an optimal solution for a challenging stochastic shortest path formulation.
Findings
Optimal policies under Poisson queries also minimize QAoI.
Periodic query arrivals lead to lower or equal QAoI compared to push-based models.
The SSP formulation for a single query is solved, enabling solutions for periodic queries.
Abstract
We study a pull-based status update communication model where a source node submits update packets to a channel with random transmission delay, at times requested by a remote destination node. The objective is to minimize the average query-age-of-information (QAoI), defined as the average age-of-information (AoI) measured at query instants that occur at the destination side according to a stochastic arrival process. In reference to a push-based problem formulation defined in the literature where the source decides to \textit{update or wait} at will, with the objective of minimizing the time average AoI at the destination, we name this problem the \textit{Pull-or-Wait} (PoW) problem. We provide a comparison of the two formulations: (i) Under Poisson query arrivals, an optimal policy that minimizes the time average AoI also minimizes the average QAoI, and these minimum values are equal;…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAge of Information Optimization
