13 papers
Selective Depthwise Separable Convolution for Lightweight Joint Source-Channel Coding in Wireless Image Transmission
Ming Ye, Kui Cai, Cunhua Pan +3
Depthwise separable convolutional (DSConv) layers have been successfully applied to deep learning (DL)-based joint source-channel coding (JSCC) schemes to reduce computational comp…
Explainable Task-Oriented Token Communication for AI-Native 6G Networks
Feibo Jiang, Lei Mao, Li Dong +3
The integration of Foundation Models (FMs) and wireless communications is driving the evolution of image communication from bit-accurate transmission toward task-oriented transmiss…
Robust Cross-Domain WiFi Fall Detection via Physics-Driven Attention-Enhanced Transformers
Yingzhe Wang, Cunhua Pan, Ruijing Liu +4
Device-free fall detection utilizing WiFi Channel State Information (CSI) has emerged as a promising, privacy-preserving solution for elderly health monitoring in the Internet of T…
Aerial Agentic AI: Synergizing LLM and SLM for Low-Altitude Wireless Networks
Li Dong, Feibo Jiang, Kezhi Wang +3
Low-Altitude Wireless Networks (LAWNs), composed of Unmanned Aerial Vehicles (UAVs) and mobile terminals, are emerging as a critical extension of 6G. However, applying Large Langua…
TokenCom: Vision-Language Model for Multimodal and Multitask Token Communications
Feibo Jiang, Siwei Tu, Li Dong +5
Visual-Language Models (VLMs), with their strong capabilities in image and text understanding, offer a solid foundation for intelligent communications. However, their effectiveness…
U-Net-Based Generative Joint Source-Channel Coding for Wireless Image Transmission
Ming Ye, Kui Cai, Cunhua Pan +3
Deep learning (DL)-based joint source-channel coding (JSCC) methods have achieved remarkable success in wireless image transmission. However, these methods either focus on conventi…