46 citations · 61 across the 7 of their papers we have counts for
7 papers
Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan +1
Extremely large-scale massive multiple-input multiple-output (XL-MIMO) systems introduce the much higher channel dimensionality and incur the additional near-field propagation effe…
Channel Estimation for Reconfigurable Intelligent Surface-Aided Multiuser Communication Systems Exploiting Statistical CSI of Correlated RIS-User Channels
Haochen Li, Zhiwen Pan, Bin Wang +2
Reconfigurable intelligent surface (RIS) is a promising candidate technology for the upcoming Sixth Generation (6G) communication system for its ability to manipulate the wireless…
Statistical CSI Based Beamforming for Reconfigurable Intelligent Surface Aided MISO Systems with Channel Correlation
Haochen Li, Zhiwen Pan, Bin Wang +2
Reconfigurable intelligent surface (RIS) is a promising candidate technology of the upcoming Sixth Generation (6G) communication system for its ability to provide unprecedented spe…
Near-Field Beamforming for STAR-RIS Networks
Haochen Li, Yuanwei Liu, Xidong Mu +3
Recently, simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) have received significant research interest. The employment of large STAR-RIS a…
Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan +1
This article aims to reduce huge pilot overhead when estimating the reconfigurable intelligent surface (RIS) relayed wireless channel. Motivated by the compelling grasp of deep lea…
Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks
Shen Gao, Peihao Dong, Zhiwen Pan +1
For ultra-dense networks with wireless backhaul, caching strategy at small base stations (SBSs), usually with limited storage, is critical to meet massive high data rate requests.…
Deep Learning based Channel Estimation for Massive MIMO with Mixed-Resolution ADCs
Shen Gao, Peihao Dong, Zhiwen Pan +1
In this article, deep learning is applied to estimate the uplink channels for mixed analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO) systems, where…