Semantic Communication Driven by Large Artificial Intelligence Models: Applications and Challenges in Typical 6G Scenarios

Tianchi Chen

doi:10.54097/1a6mk810

Authors

Tianchi Chen

DOI:

https://doi.org/10.54097/1a6mk810

Keywords:

AI large models, 6G communication, semantic communication, 6G applications.

Abstract

As the sixth-generation mobile communication system (6G) transitions from theoretical research to practical deployment, its core objective has evolved from "Internet of Everything" to "Intelligent Connection of Everything," aiming to meet the stringent requirements of emerging intelligent scenarios such as holographic communication, digital twins, and autonomous driving. Traditional communication paradigms based on Shannon's information theory, constrained by bit-level transmission and protocol optimization, face significant bottlenecks in addressing the demands of high complexity, low latency, and multimodal fusion in intelligent communication. In recent years, artificial intelligence (AI) large models, leveraging their powerful semantic understanding, multimodal processing, and generation capabilities, have provided breakthrough solutions for establishing a new paradigm of semantic communication in 6G. These models have demonstrated revolutionary performance advantages in typical application scenarios such as holographic conferencing systems, industrial digital twins, and intelligent vehicle-to-everything (V2X) networks. However, this technology still faces numerous challenges in areas such as standardization framework development, computational efficiency optimization, system robustness enhancement, and security and privacy protection. This paper systematically reviews the research progress of key technologies in large model-driven semantic communication, conducts an in-depth analysis of their practical applications in typical 6G scenarios, comprehensively examines current technical bottlenecks, and provides forward-looking discussions on future research directions and development trends. The aim is to offer theoretical references and technical guidance for the innovative development of intelligent 6G communication systems.

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