140 citations · 199 across the 20 of their papers we have counts for
4 papers · 1 filter
Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware
Muhammad Alrabeiah, Yu Zhang, Ahmed Alkhateeb
Millimeter wave (mmWave) and massive MIMO systems are intrinsic components of 5G and beyond. These systems rely on using beamforming codebooks for both initial access and data tran…
Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks
Gouranga Charan, Muhammad Alrabeiah, Ahmed Alkhateeb
Unlocking the full potential of millimeter-wave and sub-terahertz wireless communication networks hinges on realizing unprecedented low-latency and high-reliability requirements. T…
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Scaling the number of antennas up is a key characteristic of current and future wireless communication systems. The hardware cost and power consumption, however, motivate large-sca…
ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions
Muhammad Alrabeiah, Jayden Booth, Andrew Hredzak +1
Vision-aided wireless communication is motivated by the recent advances in deep learning and computer vision as well as the increasing dependence on line-of-sight links in millimet…