150 citations · 417 across the 37 of their papers we have counts for
27 papers · 1 filter
Learning Beamforming in Cell-Free Massive MIMO ISAC Systems
Umut Demirhan, Ahmed Alkhateeb
Beamforming design is critical for the efficient operation of integrated sensing and communication (ISAC) MIMO systems. ISAC beamforming design in cell-free massive MIMO systems, c…
Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field with Neural Representations
Shuaifeng Jiang, Qi Qu, Xiaqing Pan +3
Fully harvesting the gain of multiple-input and multiple-output (MIMO) requires accurate channel information. However, conventional channel acquisition methods mainly rely on pilot…
Sensing Aided OTFS Channel Estimation for Massive MIMO Systems
Shuaifeng Jiang, Ahmed Alkhateeb
Orthogonal time frequency space (OTFS) modulation has the potential to enable robust communications in highly-mobile scenarios. Estimating the channels for OTFS systems, however, i…
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…