4 citations · 23 across the 16 of their papers we have counts for
32 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)…
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…
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…
Is RIS-Aided Massive MIMO Promising with ZF Detectors and Imperfect CSI?
Kangda Zhi, Cunhua Pan, Gui Zhou +3
This paper provides a theoretical framework for understanding the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) with z…
Statistical CSI-Based Transmission Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Hardware Impairments
Jianxin Dai, Feng Zhu, Cunhua Pan +2
We consider a reconfigurable intelligent surface (RIS)-aided massive multi-user multiple-input multiple-output (MIMO) communication system with transceiver hardware impairments (HW…