Leveraging large language models for integrated satellite-aerial-terrestrial networks: recent advances and future directions
Integrated satellite, aerial, and terrestrial networks (ISATNs) represent a sophisticated
convergence of diverse communication technologies to ensure seamless connectivity …
convergence of diverse communication technologies to ensure seamless connectivity …
Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks
Artificial intelligence generated content (AIGC) technologies, with a predominance of large
language models (LLMs), have demonstrated remarkable performance improvements in …
language models (LLMs), have demonstrated remarkable performance improvements in …
Integrating LLMs With ITS: Recent Advances, Potentials, Challenges, and Future Directions
D Mahmud, H Hajmohamed… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) are crucial for the development and operation of
smart cities, addressing key challenges in efficiency, productivity, and environmental …
smart cities, addressing key challenges in efficiency, productivity, and environmental …
[HTML][HTML] Proposed explainable interference control technique in 6G networks using large language models (LLMs)
After the advent of 5th generation (5G) and 6th generation (6G) cellular networks, the
complexity of managing real-time signal interference has increased in dense and dynamic …
complexity of managing real-time signal interference has increased in dense and dynamic …
Adaptive Wireless Image Semantic Transmission: Design, Simulation, and Prototype Validation
The rapid development of artificial intelligence has significantly advanced semantic
communications, particularly in wireless image transmission. However, most existing …
communications, particularly in wireless image transmission. However, most existing …
ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception
Large language models (LLMs) hold significant promise in advancing network management
and orchestration in 6G and beyond networks. However, existing LLMs are limited in domain …
and orchestration in 6G and beyond networks. However, existing LLMs are limited in domain …
WDMoE: Wireless Distributed Mixture of Experts for Large Language Models
Large Language Models (LLMs) have achieved significant success in various natural
language processing tasks, but the role of wireless networks in supporting LLMs has not …
language processing tasks, but the role of wireless networks in supporting LLMs has not …
RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
The increasing scarcity of spectrum resources and the rapid growth of wireless device have
made efficient management of radio networks a critical challenge. Cognitive Radio …
made efficient management of radio networks a critical challenge. Cognitive Radio …