7 citations · 18 across the 12 of their papers we have counts for
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cs.IT2024
Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field with Neural Representations
Shuaifeng Jiang, Qi Qu, Xiaqing Pan +3
Fully harvesting the gain of multiple-input and multiple-output (MIMO) requires accurate channel information. However, conventional channel acquisition methods mainly rely on pilot…
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…
cs.IT2022★ 7 cited
Sensing Aided OTFS Channel Estimation for Massive MIMO Systems
Shuaifeng Jiang, Ahmed Alkhateeb
Orthogonal time frequency space (OTFS) modulation has the potential to enable robust communications in highly-mobile scenarios. Estimating the channels for OTFS systems, however, i…