4 papers · 1 filter
Filter-and-Attend: Wireless Channel Foundation Model with Noise-Plus-Interference Suppression Structure
Yuwei Wang, Li Sun, Tingting Yang +3
Wireless channel foundation model (WCFM) is a task-agnostic AI model that is pre-trained to learn a universal channel representation for a wide range of communications and sensing…
Multiple STAR-RISs-Empowered Multi-User Communications with Diversified QoS Provisioning
Junfeng Wang, Xiao Tang, Jinxin Liu +3
This paper proposes a quality-of-service (QoS)-aware multi-user communication framework facilitated by multiple simultaneously transmitting and reflecting reconfigurable intelligen…
Unfolded Deep Graph Learning for Networked Over-the-Air Computation
Xiao Tang, Huirong Xiao, Chao Shen +4
Over-the-air computation (AirComp) has emerged as a promising technology that enables simultaneous transmission and computation through wireless channels. In this paper, we investi…
Deep Graph Reinforcement Learning for UAV-Enabled Multi-User Secure Communications
Xiao Tang, Kexin Zhao, Chao Shen +4
While unmanned aerial vehicles (UAVs) with flexible mobility are envisioned to enhance physical layer security in wireless communications, the efficient security design that adapts…