13 citations · 35 across the 8 of their papers we have counts for
12 papers
Online Beam Learning with Interference Nulling for Millimeter Wave MIMO Systems
Yu Zhang, Tawfik Osman, Ahmed Alkhateeb
Employing large antenna arrays is a key characteristic of millimeter wave (mmWave) and terahertz communication systems. Due to the hardware constraints and the lack of channel know…
Predicting Future CSI Feedback For Highly-Mobile Massive MIMO Systems
Yu Zhang, Ahmed Alkhateeb, Pranav Madadi +3
Massive multiple-input multiple-output (MIMO) system is promising in providing unprecedentedly high data rate. To achieve its full potential, the transceiver needs complete channel…
Learning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels
Yu Zhang, Ahmed Alkhateeb
Reconfigurable intelligent surfaces (RIS) are expected to play an important role in future wireless communication systems. These surfaces typically rely on their reflection beamfor…
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined beamforming codebooks for both initial access and data transmission. Being pre-defined, however, these codeb…
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Employing large antenna arrays is a key characteristic of millimeter wave (mmWave) and terahertz communication systems. However, due to the adoption of fully analog or hybrid analo…
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…