Följ
Muhammad Alrabeiah
Muhammad Alrabeiah
Assistant professor @ EE Dept., KSU, and AI and wireless tech consultant @ RIC, CST
Verifierad e-postadress på ksu.edu.sa - Startsida
Titel
Citeras av
Citeras av
År
Enabling large intelligent surfaces with compressive sensing and deep learning
A Taha, M Alrabeiah, A Alkhateeb
IEEE access 9, 44304-44321, 2021
6422021
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
2512020
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
1632019
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
1512020
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
1342019
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
952021
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
902019
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
882020
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
762020
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, 2023
732023
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
652021
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
462021
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
402021
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
352022
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
322022
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
322020
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
242020
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
12*2022
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
122018
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
112020
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20