| Enabling large intelligent surfaces with compressive sensing and deep learning A Taha, M Alrabeiah, A Alkhateeb IEEE access 9, 44304-44321, 2021 | 378 | 2021 |
| Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels M Alrabeiah, A Alkhateeb IEEE Transactions on Communications 68 (9), 5504-5518, 2020 | 118 | 2020 |
| Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency M Alrabeiah, A Alkhateeb 2019 53rd asilomar conference on signals, systems, and computers, 1465-1470, 2019 | 102 | 2019 |
| 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 | 82 | 2019 |
| Millimeter wave base stations with cameras: Vision-aided beam and blockage prediction M Alrabeiah, A Hredzak, A Alkhateeb 2020 IEEE 91st vehicular technology conference (VTC2020-Spring), 1-5, 2020 | 75 | 2020 |
| Single image dehazing with a generic model-agnostic convolutional neural network Z Liu, B Xiao, M Alrabeiah, K Wang, J Chen IEEE Signal Processing Letters 26 (6), 833-837, 2019 | 53 | 2019 |
| Deep learning for massive MIMO with 1-bit ADCs: When more antennas need fewer pilots Y Zhang, M Alrabeiah, A Alkhateeb IEEE Wireless Communications Letters 9 (8), 1273-1277, 2020 | 44 | 2020 |
| ViWi: A deep learning dataset framework for vision-aided wireless communications M Alrabeiah, A Hredzak, Z Liu, A Alkhateeb 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-5, 2020 | 40 | 2020 |
| Viwi vision-aided mmwave beam tracking: Dataset, task, and baseline solutions M Alrabeiah, J Booth, A Hredzak, A Alkhateeb arXiv preprint arXiv:2002.02445, 2020 | 24 | 2020 |
| Vision-aided 6G wireless communications: Blockage prediction and proactive handoff G Charan, M Alrabeiah, A Alkhateeb IEEE Transactions on Vehicular Technology 70 (10), 10193-10208, 2021 | 19 | 2021 |
| Vision-aided dynamic blockage prediction for 6G wireless communication networks G Charan, M Alrabeiah, A Alkhateeb 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | 18 | 2021 |
| Reinforcement learning of beam codebooks in millimeter wave and terahertz MIMO systems Y Zhang, M Alrabeiah, A Alkhateeb IEEE Transactions on Communications 70 (2), 904-919, 2021 | 16 | 2021 |
| Deep learning for THz drones with flying intelligent surfaces: Beam and handoff prediction N Abuzainab, M Alrabeiah, A Alkhateeb, YE Sagduyu 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | 16 | 2021 |
| Neural networks based beam codebooks: Learning mmWave massive MIMO beams that adapt to deployment and hardware M Alrabeiah, Y Zhang, A Alkhateeb IEEE Transactions on Communications, 2022 | 13 | 2022 |
| DeepSense 6G: A large-scale real-world multi-modal sensing and communication dataset A Alkhateeb, G Charan, T Osman, A Hredzak, N Srinivas available on arXiv, 2021 | 13 | 2021 |
| Learning beam codebooks with neural networks: Towards environment-aware mmWave MIMO Y Zhang, M Alrabeiah, A Alkhateeb 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 11 | 2020 |
| Generic model-agnostic convolutional neural network for single image dehazing Z Liu, B Xiao, M Alrabeiah, K Wang, J Chen arXiv preprint arXiv:1810.02862, 2018 | 7 | 2018 |
| A cooperative weighted discriminator energy detector technique in fading environment MR Alrabeiah, IS Alnomay World Academy of Science, Engineering and Technology 80, 397-400, 2011 | 5 | 2011 |
| Blockage prediction using wireless signatures: Deep learning enables real-world demonstration S Wu, M Alrabeiah, C Chakrabarti, A Alkhateeb IEEE Open Journal of the Communications Society 3, 776-796, 2022 | 4 | 2022 |
| Performance analysis of an (m, n) energy detector in fading environment with double threshold IS Alnomay, MR ArRabeiah 13th International Conference on Advanced Communication Technology …, 2011 | 4 | 2011 |
Ahmed AlkhateebAssistant Professor, Arizona State UniversityE-mail confirmado em asu.edu
