2.7k citations · 6.4k across the 135 of their papers we have counts for
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Freshness-Aware Constrained Sensing-Aided Beam Prediction with Knowledge Distillation
Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb +1
Beam prediction leveraging environmental data reduces over-the-air beam training overhead. Existing frameworks, however, assume continuous access to fresh sensory data, an assumpti…
Beamforming Design Via GNN in mmWave Cell-Free Massive MIMO Using Sub-6 GHz CSI
Sina Tavakolian, Abolfazl Zakeri, Ahmed Alkhateeb +2
Beamforming methods in millimeter-wave (mmWave) cell-free massive multiple-input multiple-output (CFmMIMO) systems require accurate channel state information (CSI), whose acquisiti…
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…
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…
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…
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…