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Main Authors: Zhu, Yuqing, Lo, Yuan-Hsun, Lin, Yan, Zhang, Yijin
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.02332
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author Zhu, Yuqing
Lo, Yuan-Hsun
Lin, Yan
Zhang, Yijin
author_facet Zhu, Yuqing
Lo, Yuan-Hsun
Lin, Yan
Zhang, Yijin
contents This paper considers a downlink system where an access point sends the monitored status of multiple sources to multiple users. By jointly accounting for imperfect feedback and constrained transmission rate, which are key limited factors in practical systems, we aim to design scheduling algorithms to optimize the age of information (AoI) over the infinite time horizon. For zero feedback under the generate-at-will traffic, we derive a closed-form lower bound of achievable AoI, which, to the best of our knowledge, reflects the impact of zero feedback for the first time, and propose a policy that achieves this bound in many cases by jointly applying rate splitting and modular arithmetic. For zero feedback under the Bernoulli traffic, we develop a drift-plus-penalty (DPP) policy with a threshold structure based on the theory of Lyapunov optimization and provide a closed-form performance guarantee. Furthermore, we extend the design of this DPP policy to support general imperfect feedback without increasing the online computational complexity. Numerical results verify our theoretical analysis and the AoI advantage of the proposed policies over state-of-the-art policies.
format Preprint
id arxiv_https___arxiv_org_abs_2512_02332
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Age of Information for Constrained Scheduling with Imperfect Feedback
Zhu, Yuqing
Lo, Yuan-Hsun
Lin, Yan
Zhang, Yijin
Information Theory
This paper considers a downlink system where an access point sends the monitored status of multiple sources to multiple users. By jointly accounting for imperfect feedback and constrained transmission rate, which are key limited factors in practical systems, we aim to design scheduling algorithms to optimize the age of information (AoI) over the infinite time horizon. For zero feedback under the generate-at-will traffic, we derive a closed-form lower bound of achievable AoI, which, to the best of our knowledge, reflects the impact of zero feedback for the first time, and propose a policy that achieves this bound in many cases by jointly applying rate splitting and modular arithmetic. For zero feedback under the Bernoulli traffic, we develop a drift-plus-penalty (DPP) policy with a threshold structure based on the theory of Lyapunov optimization and provide a closed-form performance guarantee. Furthermore, we extend the design of this DPP policy to support general imperfect feedback without increasing the online computational complexity. Numerical results verify our theoretical analysis and the AoI advantage of the proposed policies over state-of-the-art policies.
title Age of Information for Constrained Scheduling with Imperfect Feedback
topic Information Theory
url https://arxiv.org/abs/2512.02332