activity
20242026
collaborators

32 papers

eess.SP2026

Digital Twin-Aided Prescreening for User Scheduling in MU-MIMO Downlink Systems

Namhyun Kim, Mahmoud Saad Abouamer, Jeonghun Park +2

In dense deployments, massive multi-user multiple-input multiple-output (MU-MIMO) base stations can acquire instantaneous channel state information (CSI) for only a limited subset…

eess.SP2026

Lightweight Vision-Aided Beam Tracking for Cross-Environment mmWave Communications

Mengyuan Ma, Ahmed Alkhateeb, Nhan Thanh Nguyen +2

Sensing-aided beam tracking is a promising approach to reduce the overhead for millimeter-wave beam management. However, real-world application remains challenging due to rapid cha…

eess.SP2026

Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems

Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb +1

We propose a data-free knowledge distillation (DF- KD) framework for LiDAR-aided mmWave beam tracking, where the objective is to predict the optimal current and future beams from a…

eess.SP2026

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability

Sadjad Alikhani, Akshay Malhotra, Shahab Hamidi-Rad +1

Machine learning deployments in real-world wireless communication tasks face significant generalization challenges due to location and environment-specific signal structure, high d…

cs.NI2026

RadTwin: Generalizable Wireless Digital Twin for Dynamic Environments

Yuru Zhang, Ming Zhao, Qiang Liu +3

Precisely modeling radio propagation in dynamic wireless environments is fundamental to the realization of wireless digital twins. Traditional ray tracing methods rely on accurate…

eess.SP2026

Wireless Digital Twin Calibration: Refining DFT-Domain Channel Information

Hao Luo, Saeed R. Khosravirad, Ahmed Alkhateeb

Wireless digital twins can be leveraged to provide site-specific synthetic channel information through precise physical modeling and signal propagation simulations. This can help r…