Suivre
Muhammad Alrabeiah
Muhammad Alrabeiah
Assistant professor @ EE Dept., KSU, and R&I consultant @ innovation center, CST
Adresse e-mail validée de ksu.edu.sa - Page d'accueil
Titre
Citée par
Citée par
Année
Enabling large intelligent surfaces with compressive sensing and deep learning
A Taha, M Alrabeiah, A Alkhateeb
IEEE access 9, 44304-44321, 2021
7802021
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
3202020
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
2072019
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
1982020
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
1732019
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
1622021
DeepSense 6G: A large-scale real-world multi-modal sensing and communication dataset
A Alkhateeb, G Charan, T Osman, A Hredzak, J Morais, U Demirhan, ...
IEEE Communications Magazine 61 (9), 122-128, 2023
1552023
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
1192020
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
1132019
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
982021
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
892020
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
612021
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
542022
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 70 (6), 3818-3833, 2022
522022
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
522021
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
432020
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
262020
Deep learning for moving blockage prediction using real mmWave measurements
S Wu, M Alrabeiah, A Hredzak, C Chakrabarti, A Alkhateeb
ICC 2022-IEEE International Conference on Communications, 3753-3758, 2022
19*2022
Persistent feature descriptors for video
MRM Alrabeiah, J Chen, D He, LI Liangyan, Q Yingchan, Y Wang, T Yin
US Patent 10,534,964, 2020
182020
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
182018
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