194 citations · 354 across the 47 of their papers we have counts for
85 papers
Low-overhead Beam Training Scheme for Extremely Large-Scale RIS in Near-field
Wang Liu, Cunhua Pan, Hong Ren +3
Extremely large-scale reconfigurable intelligent surface (XL-RIS) has recently been proposed and is recognized as a promising technology that can further enhance the capacity of co…
Resource Allocation for Uplink Cell-Free Massive MIMO enabled URLLC in a Smart Factory
Qihao Peng, Hong Ren, Cunhua Pan +2
Smart factories need to support the simultaneous communication of multiple industrial Internet-of-Things (IIoT) devices with ultra-reliability and low-latency communication (URLLC)…
Device Scheduling for Over-the-Air Federated Learning with Differential Privacy
Na Yan, Kezhi Wang, Cunhua Pan +1
In this paper, we propose a device scheduling scheme for differentially private over-the-air federated learning (DP-OTA-FL) systems, referred to as S-DPOTAFL, where the privacy of…
Fingerprint Based mmWave Positioning System Aided by Reconfigurable Intelligent Surface
Tuo Wu, Cunhua Pan, Yijin Pan +3
Reconfigurable intelligent surface (RIS) is a promising technique for millimeter wave (mmWave) positioning systems. In this paper, we consider multiple mobile users (MUs) positioni…
Toward Secure and Private Over-the-Air Federated Learning
Na Yan, Kezhi Wang, Kangda Zhi +3
In this paper, a novel secure and private over-the-air federated learning (SP-OTA-FL) framework is studied where noise is employed to protect data privacy and system security. Spec…
Deep Learning Based Beam Training for Extremely Large-Scale Massive MIMO in Near-Field Domain
Wang Liu, Hong Ren, Cunhua Pan +1
Extremely large-scale massive multiple-input-multiple-output (XL-MIMO) is regarded as a promising technology for next-generation communication systems. In order to enhance the beam…