Age-of-Information vs. Value-of-Information Scheduling for Cellular Networked Control Systems
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Abstract (arXiv)
Age-of-Information (AoI) is a recently introduced metric for network operation with sensor applications which quantifies the freshness of data. In the context of networked control systems (NCSs), we compare the worth of the AoI metric with the value-of-information (VoI) metric, which is related to the uncertainty reduction in stochastic processes. First, we show that the uncertainty propagates non-linearly over time depending on system dynamics. Next, we define the value of a new update of the process of interest as a function of AoI and system parameters of the NCSs. We use the aggregated update value as a utility for the centralized scheduling problem in a cellular NCS composed of multiple heterogeneous control loops. By conducting a simulative analysis, we show that prioritizing transmissions with higher VoI improves performance of the NCSs compared with providing fair data freshness to all sub-systems equally.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Mar 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 2; 2024: 4; 2025: 1; 2026: 2.
11 papers.
- 2024Agent-driven Generative Semantic Communication with Cross-Modality and Predictioncited by 7
- 2024Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraintscited by 5
- 2024Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challengescited by 5
- 2023Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocationcited by 4
- 2021Adaptive Scheduling for Machine Learning Tasks over Networkscited by 2
- 2021Linear Regression over Networks with Communication Guaranteescited by 2
- 2023Multi-Agent Reinforcement Learning for Pragmatic Communication and Controlcited by 2
- 2026World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systemscited by 2
- 2025Pull-Based Query Scheduling for Goal-Oriented Semantic Communicationcited by 1
- 2024The Best Time for an Update: Risk-Sensitive Minimization of Age-Based Metricscited by 0
- 2026Beyond Freshness and Semantics: A Coupon-Collector Framework for Effective Status Updatescited by 0
- 2026World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems15 May 2026
- 2026Beyond Freshness and Semantics: A Coupon-Collector Framework for Effective Status Updates27 Mar 2026
- 2025Pull-Based Query Scheduling for Goal-Oriented Semantic Communication9 Mar 2025
- 2024Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges27 Nov 2024
- 2024Agent-driven Generative Semantic Communication with Cross-Modality and Prediction10 Apr 2024
- 2024Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints25 Mar 2024
- 2024The Best Time for an Update: Risk-Sensitive Minimization of Age-Based Metrics3 Jan 2024
- 2023Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation19 Nov 2023
- 2023Multi-Agent Reinforcement Learning for Pragmatic Communication and Control28 Feb 2023
- 2021Linear Regression over Networks with Communication Guarantees6 Mar 2021
- 2021Adaptive Scheduling for Machine Learning Tasks over Networks25 Jan 2021