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Muhammad Alrabeiah
Muhammad Alrabeiah
Assistant professor of ML in EE Dept., KSU
E-mail confirmado em ksu.edu.sa - Página inicial
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Ano
Enabling large intelligent surfaces with compressive sensing and deep learning
A Taha, M Alrabeiah, A Alkhateeb
IEEE access 9, 44304-44321, 2021
3782021
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
1182020
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
1022019
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
822019
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
752020
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
532019
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
442020
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
402020
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
242020
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
192021
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
182021
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
162021
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
162021
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
132022
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
132021
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
112020
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
72018
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
52011
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
42022
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
42011
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