"X of Information'' Continuum: A Survey on AI-Driven Multi-dimensional Metrics for Next-Generation Networked Systems
Beining Wu, Jun Huang, Shui Yu

TL;DR
This survey introduces a four-dimensional framework for evaluating information quality in next-generation networks, emphasizing AI-driven adaptive metrics to meet diverse application needs.
Contribution
It presents the first comprehensive taxonomy of multi-dimensional information metrics and analyzes their interdependencies and AI-based optimization in modern networks.
Findings
Interdependencies among temporal, quality, reliability, and network dimensions are increasing.
AI techniques enable adaptive optimization of information quality objectives.
Application-specific insights demonstrate the framework's versatility across domains.
Abstract
The development of next-generation networking systems has inherently shifted from throughput-based paradigms towards intelligent, information-aware designs that emphasize the quality, relevance, and utility of transmitted information, rather than sheer data volume. While classical network metrics, such as latency and packet loss, remain significant, they are insufficient to quantify the nuanced information quality requirements of modern intelligent applications, including autonomous vehicles, digital twins, and metaverse environments. In this survey, we present the first comprehensive study of the ``X of Information'' continuum by introducing a systematic four-dimensional taxonomic framework that structures information metrics along temporal, quality/utility, reliability/robustness, and network/communication dimensions. We uncover the increasing interdependencies among these dimensions,…
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 · Software-Defined Networks and 5G · IoT and Edge/Fog Computing
