International Conference on Future and Intelligent Networking (FINE 2026)

Aug 26-28, 2026 · Osaka, Japan.

http://www.ieee-fine.org/2026/

Track 7: Semantic Communications, Immersive and Tactile Networking

Track Chairs:
Zhiyi Tian, Southeast University, China zhiyi.tian@ieee.org
Nikolaos Pappas, Linköping University, Sweden nikolaos.pappas@liu.se

Description

The integration of artificial intelligence into communication systems is reshaping how information is represented, transmitted, and interpreted, giving rise to semantic communications as an emerging communication paradigm. By focusing on delivering relevant and important information rather than exact bit-level reconstruction, semantic communication enables significant gains in communication efficiency, adaptability, and intelligence. It is expected to play a key role in future 6G and AI-native networks.

Recent advances in deep learning, large language models, and data-driven networking have accelerated the development of semantic-aware communication architectures, including goal-oriented transmission, joint semantic source–channel coding, and knowledge-driven communication protocols. These emerging systems shift communication design from signal fidelity toward semantic effectiveness, opening new opportunities for efficient edge intelligence, immersive applications, and distributed intelligent services. At the same time, the tight coupling between learning models and communication processes introduces new challenges related to robustness, scalability, interoperability, and trustworthy operation under dynamic network environments.

This track aims to bring together researchers and practitioners from academia and industry to explore theoretical foundations, system architectures, algorithms, and practical implementations of semantic communications and AI-native networking. Contributions addressing fundamental theory, system design, experimental validation, and emerging applications are highly encouraged.

Track Topics

• Goal-oriented and task-oriented semantic communications
• Semantic information theory and post-Shannon communication paradigms
• Joint semantic source–channel coding and representation learning
• Multimodal and cross-modal semantic communications
• Knowledge-driven and context-aware communication systems
• Distributed and asynchronous semantic communication architectures
• Adaptive semantic communications
• Foundation models and large-scale AI for semantic communication
• Edge intelligence and semantic communications for IoT systems
• Semantic communications for XR, metaverse, and immersive applications
• Robust and trustworthy semantic communications
• Resource-efficient semantic transmission and low-latency design

Paper Submission and Publication

Details of paper submission and publication can be found here.