8 papers
Smart-TCP: An Agentic AI-based Autonomous and Adaptive TCP Protocol
Yule Han, Kezhi Wang, Kun Yang +1
The Transmission Control Protocol (TCP) relies on deterministic state machines and sequence-number arithmetic to ensure reliable communication. However, hard-coded protocol logic i…
A Unified Cloud-Edge-Terminal Framework for Multimodal Integrated Sensing and Communication
Yubo Peng, Luping Xiang, Kun Yang +3
The transition to 6G calls for tightly integrated sensing and communication to support mission-critical services such as autonomous driving, embodied AI, and high-precision telemed…
SemAgent: Semantic-Driven Agentic AI Empowered Trajectory Prediction in Vehicular Networks
Lin Zhu, Kezhi Wang, Luping Xiang +1
Efficient information exchange and reliable contextual reasoning are essential for vehicle-to-everything (V2X) networks. Conventional communication schemes often incur significant…
Personalized Wireless Federated Learning for Large Language Models
Feibo Jiang, Li Dong, Siwei Tu +5
Large language models (LLMs) have driven profound transformations in wireless networks. However, within wireless environments, the training of LLMs faces significant challenges rel…
SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework
Yubo Peng, Luping Xiang, Kun Yang +3
Traditional single-modality sensing faces limitations in accuracy and capability, and its decoupled implementation with communication systems increases latency in bandwidth-constra…
CommGPT: A Graph and Retrieval-Augmented Multimodal Communication Foundation Model
Feibo Jiang, Wanyun Zhu, Li Dong +4
Large Language Models (LLMs) possess human-level cognitive and decision-making capabilities, making them a key technology for 6G. However, applying LLMs to the communication domain…