2.7k citations · 6.4k across the 135 of their papers we have counts for
19 papers · 1 filter
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb +1
This paper presents a novel approach for the joint design of a reconfigurable intelligent surface (RIS) and a transmitter-receiver pair that are trained together as a set of deep n…
Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems
Umut Demirhan, Ahmed Alkhateeb
Millimeter wave (mmWave) and sub-terahertz communication systems rely mainly on line-of-sight (LOS) links between the transmitters and receivers. The sensitivity of these high-freq…
Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment
Shuaifeng Jiang, Ahmed Alkhateeb
Millimeter-wave (mmWave) and terahertz (THz) communications require beamforming to acquire adequate receive signal-to-noise ratio (SNR). To find the optimal beam, current beam mana…
Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration
Umut Demirhan, Ahmed Alkhateeb
This paper presents the first machine learning based real-world demonstration for radar-aided beam prediction in a practical vehicular communication scenario. Leveraging radar sens…
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems
Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb
Line-of-sight link blockages represent a key challenge for the reliability and latency of millimeter wave (mmWave) and terahertz (THz) communication networks. This paper proposes t…
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration
Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti +1
Overcoming the link blockage challenges is essential for enhancing the reliability and latency of millimeter wave (mmWave) and sub-terahertz (sub-THz) communication networks. Previ…