mlsanityData to 7 Oct 2026

Age of Information: An Introduction and Survey

arXiv 2007.08564 ↗First posted 16 Jul 2020cs.IT cs.NI math.ITcited by 64

Not on the map. Why?

Abstract (arXiv)

We summarize recent contributions in the broad area of age of information (AoI). In particular, we describe the current state of the art in the design and optimization of low-latency cyberphysical systems and applications in which sources send time-stamped status updates to interested recipients. These applications desire status updates at the recipients to be as timely as possible; however, this is typically constrained by limited system resources. We describe AoI timeliness metrics and present general methods of AoI evaluation analysis that are applicable to a wide variety of sources and systems. Starting from elementary single-server queues, we apply these AoI methods to a range of increasingly complex systems, including energy harvesting sensors transmitting over noisy channels, parallel server systems, queueing networks, and various single-hop and multi-hop wireless networks. We also explore how update age is related to MMSE methods of sampling, estimation and control of stochastic processes. The paper concludes with a review of efforts to employ age optimization in cyberphysical applications.

Key facts. Cited by 64 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jul 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 11; 2023: 9; 2024: 17; 2025: 16; 2026: 6.

64 papers.

Sort:

By area:

  1. 2022Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communicationscited by 166
  2. 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
  3. 2024Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensingcited by 11
  4. 2022Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approachcited by 10
  5. 2022Semantics-Empowered Communication: A Tutorial-cum-Surveycited by 8
  6. 2023Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networkscited by 8
  7. 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approachcited by 7
  8. 2024Agent-driven Generative Semantic Communication with Cross-Modality and Predictioncited by 7
  9. 2025"X of Information'' Continuum: A Survey on AI-Driven Multi-dimensional Metrics for Next-Generation Networked Systemscited by 7
  10. 2024Effective Communication with Dynamic Feature Compressioncited by 6
  11. 2024Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMscited by 6
  12. 2024DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoVcited by 6
38 more
  1. 2021Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regressioncited by 5
  2. 2024Timely Communications for Remote Inferencecited by 5
  3. 2024Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challengescited by 5
  4. 2021RADAMS: Resilient and Adaptive Alert and Attention Management Strategy against Informational Denial-of-Service (IDoS) Attackscited by 3
  5. 2022On the Decentralization of Blockchain-enabled Asynchronous Federated Learningcited by 3
  6. 2022How Does Data Freshness Affect Real-time Supervised Learning?cited by 3
  7. 2023Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compressioncited by 3
  8. 2023Value of Information and Timing-aware Scheduling for Federated Learningcited by 3
  9. 2025A Survey on Semantic Communications in Internet of Vehiclescited by 3
  10. 2021AoI-minimizing Scheduling in UAV-relayed IoT Networkscited by 2
  11. 2023Multi-Agent Reinforcement Learning for Pragmatic Communication and Controlcited by 2
  12. 2023Asynchronous Online Federated Learning with Reduced Communication Requirementscited by 2
  13. 2024Learning-augmented Online Minimization of Age of Information and Transmission Costscited by 2
  14. 2024Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamicscited by 2
  15. 2022To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computingcited by 1
  16. 2023Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networkscited by 1
  17. 2023Collaborative Optimization of the Age of Information under Partial Observabilitycited by 1
  18. 2024Integrated Push-and-Pull Update Model for Goal-Oriented Effective Communicationcited by 1
  19. 2024Load Balancing in Federated Learningcited by 1
  20. 2024rAge-k: Communication-Efficient Federated Learning Using Age Factorcited by 1
  21. 2025MDPs with a State Sensing Costcited by 1
  22. 2025Safe Deep Reinforcement Learning for Resource Allocation with Peak Age of Information Violation Guaranteescited by 1
  23. 2025Multimodal Remote Inferencecited by 1
  24. 2026Diffusion Model-based Reinforcement Learning for Version Age of Information Scheduling: Average and Tail-Risk-Sensitive Controlcited by 1
  25. 2021A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networkscited by 0
  26. 2022A Deep Learning Approach To Estimation Using Measurements Received Over a Networkcited by 0
  27. 2022A Practical AoI Scheduler in IoT Networks with Relayscited by 0
  28. 2022How to Minimize the Weighted Sum AoI in Multi-Source Status Update Systems: OMA or NOMA?cited by 0
  29. 2022Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learningcited by 0
  30. 2023Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approachcited by 0
  31. 2023A Learning Based Scheme for Fair Timeliness in Sparse Gossip Networkscited by 0
  32. 2024CAFe: Cost and Age aware Federated Learningcited by 0
  33. 2024Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computingcited by 0
  34. 2024Age-of-Gradient Updates for Federated Learning over Random Access Channelscited by 0
  35. 2024MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Servicescited by 0
  36. 2024Age Optimal Sampling for Unreliable Channels under Unknown Channel Statisticscited by 0
  37. 2025PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2Xcited by 0
  38. 2025Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Gamecited by 0

50 most cited of 64 All 64 (JSON)