Enabling large intelligent surfaces with compressive sensing and deep learning A Taha, M Alrabeiah, A Alkhateeb IEEE access 9, 44304-44321, 2021 | 655 | 2021 |
Deep learning for large intelligent surfaces in millimeter wave and massive MIMO systems A Taha, M Alrabeiah, A Alkhateeb 2019 IEEE Global communications conference (GLOBECOM), 1-6, 2019 | 140 | 2019 |
Deep reinforcement learning for intelligent reflecting surfaces: Towards standalone operation A Taha, Y Zhang, FB Mismar, A Alkhateeb 2020 IEEE 21st international workshop on signal processing advances in …, 2020 | 138 | 2020 |
Millimeter wave MIMO-based depth maps for wireless virtual and augmented reality A Taha, Q Qu, S Alex, P Wang, WL Abbott, A Alkhateeb IEEE Access 9, 48341-48363, 2021 | 19 | 2021 |
Eliminating battery replacement throughout the useful life of IoT devices with limited-capacity batteries: Analysis and design of a zero energy air interface A Taha, H Elkotby, T Haque, R Pragada, D Castor 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | 4 | 2021 |
Large intelligent surfaces with sparse channel sensors A Alkhateeb, A Taha, M Alrabeiah US Patent 11,728,571, 2023 | 3 | 2023 |
Situation-aware channel covariance prediction for deep learning aided massive MIMO systems A Taha, A Alkhateeb 2020 54th Asilomar Conference on Signals, Systems, and Computers, 1342-1346, 2020 | 3 | 2020 |
Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth Estimation A Taha, H Luo, A Alkhateeb ICC 2023-IEEE International Conference on Communications, 491-497, 2023 | 2 | 2023 |
Low Overhead Weighted-Graph-Coloring-Based Two-Layer Precoding for FDD Massive MIMO Systems AAH Anis, B Abdelhamid, S Elramly 2018 9th International Conference on Computing, Communication and Networking …, 2018 | 1 | 2018 |
Reconfigurable Intelligent Surfaces for Next-Generation Communication and Sensing Systems AAHA Taha Arizona State University, 2023 | | 2023 |