2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.IT2024★ 1 cited
Digital Twin Aided Massive MIMO: CSI Compression and Feedback
Shuaifeng Jiang, Ahmed Alkhateeb
Deep learning (DL) approaches have demonstrated high performance in compressing and reconstructing the channel state information (CSI) and reducing the CSI feedback overhead in mas…
eess.SP2023★ 2 cited
Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond
Ahmed Alkhateeb, Shuaifeng Jiang, Gouranga Charan
This article presents a vision where \textit{real-time} digital twins of the physical wireless environments are continuously updated using multi-modal sensing data from the distrib…
eess.SP2023★ 1 cited
Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality?
Shuaifeng Jiang, Ahmed Alkhateeb
Realizing the potential gains of large-scale MIMO systems requires the accurate estimation of their channels or the fine adjustment of their narrow beams. This, however, is typical…