6 citations · 6 across the 7 of their papers we have counts for
7 papers
Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT
Yan Wang, Feng Shu, Rongen Dong +3
In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) es…
Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS
Ke Yang, Rongen Dong, Wei Gao +5
Active intelligent reflecting surface (IRS) is a revolutionary technique for the future 6G networks. The conventional far-field single-IRS-aided directional modulation(DM) networks…
Joint Beamforming and Phase Shift Design for Hybrid-IRS-and-UAV-aided Directional Modulation Network
Rongen Dong, Hangjia He, Feng Shu +4
Recently, intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) have been introduced into wireless communication systems to enhance the performance of air-ground t…
Joint Beamforming and Phase Shift Design for Hybrid-IRS-aided Directional Modulation Network
Rongen Dong, Hangjia He, Feng Shu +2
To make a good balance between performance, cost, and power consumption, a hybrid intelligent reflecting surface (IRS)-aided directional modulation (DM) network is investigated in…
Beamforming and Phase Shift Design for HR-IRS-aided Directional Modulation Network with a Malicious Attacker
Feng Shu, Hangjia He, Rongen Dong +5
In this paper, we propose to use hybrid relay-intelligent reflecting surface (HR-IRS) to improve the security performance of directional modulation (DM) system. In particular, the…
Low-complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS
Rongen Dong, Shaohua Jiang, Xinhai Hua +3
Intelligent reflecting surface (IRS) is a revolutionary and low-cost technology for boosting the spectrum and energy efficiencies in future wireless communication network. In order…