most citedJoint Sensing and Covert Communications in RIS-NOMA Systems

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eess.SP20264 cited

Joint Sensing and Covert Communications in RIS-NOMA Systems

Jiayi Lei, Xidong Mu, Tiankui Zhang +2

A reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access (NOMA) system is investigated, where the transmitter (Alice) is a dual functional radar communica…

eess.SP2026

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…

eess.SP2025

NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission

Weijie Yue, Zhongwei Si, Bolin Wu +5

We introduce NeRFCom, a novel communication system designed for end-to-end 3D scene transmission. Compared to traditional systems relying on handcrafted NeRF semantic feature decom…

eess.SP2024

Clutter Suppression, Time-Frequency Synchronization, and Sensing Parameter Association in Asynchronous Perceptive Vehicular Networks

Xiao-Yang Wang, Shaoshi Yang, Jianhua Zhang +2

Significant challenges remain for realizing precise positioning and velocity estimation in perceptive vehicular networks (PVN) enabled by the emerging integrated sensing and commun…

eess.SP2024

Federated Contrastive Learning for Personalized Semantic Communication

Yining Wang, Wanli Ni, Wenqiang Yi +3

In this letter, we design a federated contrastive learning (FedCL) framework aimed at supporting personalized semantic communication. Our FedCL enables collaborative training of lo…