6 citations · 14 across the 19 of their papers we have counts for
6 papers · 1 filter
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…
Two Enhanced-rate Power Allocation Strategies for Active IRS-assisted Wireless Network
Qiankun Cheng, Rongen Dong, Wenlong Cai +3
Due to its ability of overcoming the impact of double-fading effect, active intelligent reflecting surface (IRS) has attracted a lot of attention. Unlike passive IRS, active IRS sh…
Enhanced-rate Iterative Beamformers for Active IRS-assisted Wireless Communications
Yeqing Lin, Feng Shu, Rongen Dong +5
Compared to passive intelligent reflecting surface (IRS), active IRS is viewed as a more efficient promising technique to combat the double-fading impact in IRS-aided wireless netw…
Three High-rate Beamforming Methods for Active IRS-aided Wireless Network
Feng Shu, Jing liu, Yeqing Lin +5
Due to its ability of breaking the double-fading effect experienced by passive intelligent reflecting surface (IRS), active IRS is evolving a potential technique for future 6G wire…
Enhanced Secure Wireless Transmission Using IRS-aided Directional Modulation
Yeqing Lin, Rongen Dong, Peng Zhang +2
As an excellent aided communication tool, intelligent reflecting surface (IRS) can make a significant rate enhancement and coverage extension. In this paper, we present an investig…