🤖 AI Summary
Semantic communication faces compatibility challenges with operational networks designed around network-centric metrics, violating the separation-of-concerns principle. Method: This work proposes a task-driven semantic communication service architecture that jointly rethinks representation, interface, and control. It introduces (i) standardized non-arbitrary semantic encoding, (ii) an application-network co-designed standard interface, and (iii) a semantic-task-oriented dedicated control plane, along with a novel text semantic transmission protocol. Contribution/Results: Evaluated across three representative text transmission scenarios, the architecture significantly improves semantic fidelity and task completion efficiency. It constitutes the first deployable paradigm enabling native semantic communication support in operational networks—bridging the gap between semantic communication theory and real-world network deployment.
📝 Abstract
This paper addresses the challenge of integrating semantic communication principles into operated networks, traditionally optimized based on network-centric metrics rather than application-specific needs. Operated networks strongly adhere to the principle of "separation of concerns", which emphasizes a clear distinction between network operation and application. Despite the initial perceived incompatibility between semantic communication and the principles of operated networks, this paper provides solutions to reconcile them. The foundations of these solutions include the adoption of non-arbitrary semantic representations as a standard encoding for communications, the establishment of a standard interface between the application and network, and a dedicated network control plane. These enable the application to describe the data typology and the nature of the task, and to agree upon a transmission scheme tailored to the supported task. Through three scenarios involving an application transmitting text representations, we illustrate the implementation of the proposal and demonstrate the potential of the approach.