1 citations · 3 across the 8 of their papers we have counts for
12 papers · 1 filter
Reinforcement Learning-Based Secure Near-field Directional Modulation Enhanced by Rotatable RIS
Yongqiang Li, Feng Shu, Shaofan Chen +5
This paper investigates secure Directional Modulation (DM) design enhanced by a rotatable active Reconfigurable Intelligent Surface (RIS). In conventional RIS-assisted DM networks,…
Enhanced Direction-Sensing Methods and Performance Analysis in Low-Altitude Wireless Network via a Rotating Antenna Array
Jinbing Jiang, Feng Shu, Minghao Chen +4
Due to the directive property of each antenna element, the received signal power can be severely attenuated when the emitter deviates from the array boresight, which will lead to a…
Multi-Branch DNN and CRLB-Ratio-Weight Fusion for Enhanced DOA Sensing via a Massive HAD MIMO Receiver
Feng Shu, Jiatong Bai, Di Wu +4
As a green MIMO structure, massive HAD is viewed as a potential technology for the future 6G wireless network. For such a structure, it is a challenging task to design a low-co…
DoF Analysis and Beamforming Design for Active IRS-aided Multi-user MIMO Wireless Communication in Rank-deficient Channels
Jinbing Jiang, Feng Shu, Xuehui Wang +5
Due to its ability of significantly improving data rate, intelligent reflecting surface (IRS) will be a potential crucial technique for the future generation wireless networks like…
Performance Analysis of Local Partial MMSE Precoding Based User-Centric Cell-Free Massive MIMO Systems and Deployment Optimization
Peng Jiang, Jiafei Fu, Pengcheng Zhu +3
Cell-free massive multiple-input multiple-output (MIMO) systems, leveraging tight cooperation among wireless access points, exhibit remarkable signal enhancement and interference s…
Enhanced channel estimation for near-field IRS-aided multi-user MIMO system via a large deep residual network
Yan Wang, Yongqiang Li, Minghao Chen +3
In this paper, the channel estimation (CE) of intelligent reflecting surface-aided near-field (NF) multi-user communication is investigated. Initially, the least square (LS) estima…