Minimizing the Age of Information in Wireless Networks with Stochastic Arrivals
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Abstract (arXiv)
We consider a wireless network with a base station serving multiple traffic streams to different destinations. Packets from each stream arrive to the base station according to a stochastic process and are enqueued in a separate (per stream) queue. The queueing discipline controls which packet within each queue is available for transmission. The base station decides, at every time t, which stream to serve to the corresponding destination. The goal of scheduling decisions is to keep the information at the destinations fresh. Information freshness is captured by the Age of Information (AoI) metric. In this paper, we derive a lower bound on the AoI performance achievable by any given network operating under any queueing discipline. Then, we consider three common queueing disciplines and develop both an Optimal Stationary Randomized policy and a Max-Weight policy under each discipline. Our approach allows us to evaluate the combined impact of the stochastic arrivals, queueing discipline and scheduling policy on AoI. We evaluate the AoI performance both analytically and using simulations. Numerical results show that the performance of the Max-Weight policy is close to the analytical lower bound.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 May 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 2; 2026: 1.
6 papers.
- 2021Efficient Learning-based Scheduling for Information Freshness in Wireless Networkscited by 4
- 2022To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computingcited by 1
- 2024Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networkscited by 1
- 2025A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical Reportcited by 1
- 2025On the Regularity and Fairness of Combinatorial Multi-Armed Banditcited by 0
- 2026Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networkscited by 0
- 2026Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks19 Jan 2026
- 2025On the Regularity and Fairness of Combinatorial Multi-Armed Bandit15 Sep 2025
- 2025A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical Report19 Jan 2025
- 2024Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks4 Apr 2024
- 2022To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing5 Sep 2022
- 2021Efficient Learning-based Scheduling for Information Freshness in Wireless Networks1 Jan 2021