Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks
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Abstract (arXiv)
Artificial intelligence generated content (AIGC) technologies, with a predominance of large language models (LLMs), have demonstrated remarkable performance improvements in various applications, which have attracted great interests from both academia and industry. Although some noteworthy advancements have been made in this area, a comprehensive exploration of the intricate relationship between AIGC and communication networks remains relatively limited. To address this issue, this paper conducts an exhaustive survey from dual standpoints: firstly, it scrutinizes the integration of LLMs and AIGC technologies within the domain of communication networks; secondly, it investigates how the communication networks can further bolster the capabilities of LLMs and AIGC. Additionally, this research explores the promising applications along with the challenges encountered during the incorporation of these AI technologies into communication networks. Through these detailed analyses, our work aims to deepen the understanding of how LLMs and AIGC can synergize with and enhance the development of advanced intelligent communication networks, contributing to a more profound comprehension of next-generation intelligent communication networks.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Nov 2024.
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approachescited by 2
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- 2026Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks24 Mar 2026
- 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches19 Jul 2025
- 2025A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing14 Jul 2025