Liaison statement
New Technical Reports ITU-T YSTR.Af-KBSC “Architectural Framework for Knowledge-Based Semantic Communication over Public IMT Networks” and ITU-T YSTR.SemGenAI “Framework for Semantic Communication Pipe-line with Generative AI-based Reconstruction”
Additional information about IETF liaison relationships is available on the
IETF webpage
and the
Internet Architecture Board liaison webpage.
| State | Posted |
|---|---|
| Submitted Date | 2025-09-03 |
| From Group | ITU-T-SG-13 |
| From Contact | tsbsg13@itu.int |
| To Group | opsawg |
| To Contacts | Joe Clarke <jclarke@cisco.com> Benoît Claise <benoit@everything-ops.net> |
| Cc | Benoît Claise <benoit@everything-ops.net> Joe Clarke <jclarke@cisco.com> Mahesh Jethanandani <mjethanandani@gmail.com> Scott Mansfield <Scott.Mansfield@Ericsson.com> Operations and Management Area Working Group Discussion List <opsawg@ietf.org> Mohamed Boucadair <mohamed.boucadair@orange.com> |
| Response Contact | marco.carugi@gmail.com fuyuexia@chinamobile.com |
| Technical Contact | marco.carugi@gmail.com |
| Action Holder Contacts | Scott Mansfield <Scott.Mansfield@Ericsson.com> |
| Purpose | For information |
| Attachments |
ITU-T YSTR.SemGenAI: “Framework for Semantic Communication Pipe-line with Generative AI-based Reconstruction”.
ITU-T YSTR.Af-KBSC: “Architectural Framework for Knowledge-Based Semantic Communication over Public IMT Networks” |
| Body |
ITU-T Working Party 1/13 would like to inform ITU-T SG17, 3GPP SA1, 3GPP SA2 and IETF about the initiation of the two draft new Technical Reports YSTR.Af-KBSC “Architectural Framework for Knowledge-Based Semantic Communication over Public IMT Networks” and YSTR.SemGenAI “Framework for Semantic Communication Pipe-line with Generative AI-based Reconstruction”. These draft new Technical Reports have been initiated at the ITU-T Working Party 1/13 plenary on 25 July 2025. ITU-T YSTR.Af-KBSC aims to specify the framework for knowledge-based semantic communication over public IMT networks, including requirements, functional architecture, procedures, and security considerations. Centered on the network entity named Semantic Knowledge Management Function (SKMF), the framework enables the network to manage source, channel, and task knowledge bases, and to generate and distribute customised Semantic Encoders/Decoders. This framework supports efficient semantic representation, adaptive transmission, and task-driven optimisation, thereby improving resource efficiency and service experience for data-intensive applications such as XR and multi-modal communication. ITU-T YSTR.SemGenAI aims to present a framework for integrating a Semantic Communication (SemCom) pipe-line with Generative AI (GenAI) powered regeneration of the source input at the receiving end-point, while indicating the key entities and capabilities that the underlying network service needs to enable for realization of such a framework. It presents the interactions among major entities including the multiple levels of Knowledge Bases (KB), KB orchestration, local edge computing, model tuning, etc. It recommends the requirements to be satisfied by the underlying network service. This document also provides a few example application scenarios that benefit from such integration of GenAI based reconstruction capability with a SemCom pipeline. ITU-T Working Party 1/13 looks forward to keeping continued collaboration and exchange with you on the topic of semantic communications. |