3 papers
eess.SP2025
Digital Twin Aided Massive MIMO CSI Feedback: Exploring the Impact of Twinning Fidelity
Hao Luo, Shuaifeng Jiang, Saeed R. Khosravirad +1
Deep learning (DL) techniques have demonstrated strong performance in compressing and reconstructing channel state information (CSI) while reducing feedback overhead in massive MIM…
eess.SP2024
Digital Twin Assisted Beamforming Design for Integrated Sensing and Communication Systems
Shuaifeng Jiang, Ahmed Alkhateeb
This paper explores a novel research direction where a digital twin is leveraged to assist the beamforming design for an integrated sensing and communication (ISAC) system. In this…
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…