Semantics-Empowered Communication for Networked Intelligent Systems
Marios Kountouris, Nikolaos Pappas

TL;DR
This paper proposes a semantics-based communication paradigm for networked systems, focusing on goal-oriented message significance to improve efficiency and safety in real-time data exchange.
Contribution
It introduces a novel semantics-empowered communication framework that unifies information generation, transmission, and usage considering process dynamics and semantic attributes.
Findings
Significant reduction in reconstruction error
Lower actuation error cost
Fewer uninformative samples generated
Abstract
Wireless connectivity has traditionally been regarded as an opaque data pipe carrying messages, whose context-dependent meaning and effectiveness have been ignored. Nevertheless, in emerging cyber-physical and autonomous networked systems, acquiring, processing, and sending excessive amounts of distributed real-time data, which ends up being stale or useless to the end user, will cause communication bottlenecks, increased latency, and safety issues. We envision a communication paradigm shift, which makes the Semantics of Information, i.e., the significance and the usefulness of messages with respect to the goal of data exchange, the underpinning of the entire communication process. This entails a goal-oriented unification of information generation, transmission, and usage, by taking into account process dynamics, signal sparsity, data correlation, and semantic information attributes. We…
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.
