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Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping
Mohammed Aladsani, Ahmed Alkhateeb, Georgios C. Trichopoulos
In this work, we propose a novel approach for high accuracy user localization by merging tools from both millimeter wave (mmWave) imaging and communications. The key idea of the pr…
Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems
Xiaofeng Li, Ahmed Alkhateeb, Cihan Tepedelenlioğlu
Enabling highly-mobile millimeter wave (mmWave) systems is challenging because of the huge training overhead associated with acquiring the channel knowledge or designing the narrow…
Beamforming in Millimeter Wave Systems: Prototyping and Measurement Results
Cody Scarborough, Kiran Venugopal, Ahmed Alkhateeb +1
Demonstrating the feasibility of large antenna array beamforming is essential for realizing mmWave communication systems. This is due to the dependency of these systems on the larg…
Machine Learning for Reliable mmWave Systems: Blockage Prediction and Proactive Handoff
Ahmed Alkhateeb, Iz Beltagy
The sensitivity of millimeter wave (mmWave) signals to blockages is a fundamental challenge for mobile mmWave communication systems. The sudden blockage of the line-of-sight (LOS)…
Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems
Ahmed Alkhateeb, Sam Alex, Paul Varkey +3
Supporting high mobility in millimeter wave (mmWave) systems enables a wide range of important applications such as vehicular communications and wireless virtual/augmented reality.…