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Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems
Chen Sun, Wenqi Zhang, Bizhu Wang +4
In current vehicle-to-everything (V2X) communication systems, roadside units (RSUs) broadcast brief warning messages that alert nearby vehicles to avoid potential hazards. However,…
CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
Xuran Liu, Nan Xue, Rui Bao +5
While deploying large language models on edge devices promises low-latency and privacy-preserving AI services, it is hindered by limited device resources. Although pipeline paralle…
Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Dayu Fan, Rui Meng, Xiaodong Xu +9
With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of w…
ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications
Tong Wu, Zhiyong Chen, Dazhi He +5
Diffusion models (DMs) have recently achieved significant success in wireless communications systems due to their denoising capabilities. The broadcast nature of wireless signals m…
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems
Jianqiao Chen, Nan Ma, Wenkai Liu +2
Channel reconstruction and generalization capability are of equal importance for developing channel estimation schemes within deep learning (DL) framework. In this paper, we exploi…
Efficient Semantic-aware Encryption for Secure Communications in Intelligent Connected Vehicles
Bizhu Wang, Zhiqiang Bian, Yue Chen +4
Semantic communication (SemCom) significantly improves inter-vehicle interactions in intelligent connected vehicles (ICVs) within limited wireless spectrum. However, the open natur…
SCDM: Score-Based Channel Denoising Model for Digital Semantic Communications
Hao Mo, Yaping Sun, Shumin Yao +6
Score-based diffusion models represent a significant variant within the diffusion model family and have seen extensive application in the increasingly popular domain of generative…