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ORCIDMuhammad Alrabeiah
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2020 – today
- 2023
[j11]Kangdi Shi
, Muhammad Alrabeiah, Jun Chen:
Progressive With Purpose: Guiding Progressive Inpainting DNNs Through Context and Structure. IEEE Access 11: 2023-2034 (2023)- 2022
- [j10]Ziyad N. Alotaibi, Saeed A. Khouli, Ahmed B. Ibrahim, Muhammad Alrabeiah, Amr M. Ragheb, Ahmed Almaiman, Saleh A. Alshebeili:
Sky Imager Data Reduction Using Autoencoder and Internet of Things Computing. IEEE Access 10: 111232-111240 (2022) - [j9]Kangdi Shi, Xiaohong Liu, Muhammad Alrabeiah, Xintong Guo, Jie Lin, Huan Liu, Jun Chen:
Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing. Inf. 13(3): 106 (2022) - [j8]Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb:
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. IEEE Open J. Commun. Soc. 3: 776-796 (2022) - [j7]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems. IEEE Trans. Commun. 70(2): 904-919 (2022) - [j6]Muhammad Alrabeiah, Yu Zhang, Ahmed Alkhateeb:
Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams That Adapt to Deployment and Hardware. IEEE Trans. Commun. 70(6): 3818-3833 (2022) - [c11]Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb:
Deep Learning for Moving Blockage Prediction using Real mmWave Measurements. ICC 2022: 3753-3758 - [i19]Kangdi Shi, Muhammad Alrabeiah, Jun Chen:
Progressive with Purpose: Guiding Progressive Inpainting DNNs through Context and Structure. CoRR abs/2209.10071 (2022) - 2021
- [j5]Abdelrahman Taha, Muhammad Alrabeiah, Ahmed Alkhateeb:
Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning. IEEE Access 9: 44304-44321 (2021) - [j4]Gouranga Charan, Muhammad Alrabeiah, Ahmed Alkhateeb:
Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff. IEEE Trans. Veh. Technol. 70(10): 10193-10208 (2021) - [c10]Nof Abuzainab, Muhammad Alrabeiah, Ahmed Alkhateeb, Yalin E. Sagduyu:
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction. ICC Workshops 2021: 1-6 - [c9]Gouranga Charan, Muhammad Alrabeiah, Ahmed Alkhateeb:
Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks. ICC Workshops 2021: 1-6 - [i18]Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb:
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements. CoRR abs/2101.06886 (2021) - [i17]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems. CoRR abs/2102.09084 (2021) - [i16]Gouranga Charan, Muhammad Alrabeiah, Ahmed Alkhateeb:
Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff. CoRR abs/2102.09527 (2021) - [i15]Nof Abuzainab, Muhammad Alrabeiah, Ahmed Alkhateeb, Yalin E. Sagduyu:
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction. CoRR abs/2102.11222 (2021) - [i14]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems. CoRR abs/2102.11392 (2021) - [i13]Muhammad Alrabeiah, Umut Demirhan, Andrew Hredzak, Ahmed Alkhateeb:
Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence. CoRR abs/2103.10419 (2021) - [i12]Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb:
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. CoRR abs/2111.08242 (2021) - 2020
- [j3]Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels. IEEE Trans. Commun. 68(9): 5504-5518 (2020) - [j2]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for Massive MIMO With 1-Bit ADCs: When More Antennas Need Fewer Pilots. IEEE Wirel. Commun. Lett. 9(8): 1273-1277 (2020) - [c8]Muhammad Alrabeiah, Umut Demirhan, Andrew Hredzak, Ahmed Alkhateeb:
Vision Aided URLL Communications: Proactive Service Identification and Coexistence. ACSSC 2020: 174-178 - [c7]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems. ACSSC 2020: 445-449 - [c6]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO. SPAWC 2020: 1-5 - [c5]Muhammad Alrabeiah, Andrew Hredzak, Ahmed Alkhateeb:
Millimeter Wave Base Stations with Cameras: Vision-Aided Beam and Blockage Prediction. VTC Spring 2020: 1-5 - [c4]Muhammad Alrabeiah, Andrew Hredzak, Zhenhao Liu, Ahmed Alkhateeb:
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications. VTC Spring 2020: 1-5 - [i11]Muhammad Alrabeiah, Jayden Booth, Andrew Hredzak, Ahmed Alkhateeb:
ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions. CoRR abs/2002.02445 (2020) - [i10]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO. CoRR abs/2002.10663 (2020) - [i9]Gouranga Charan, Muhammad Alrabeiah, Ahmed Alkhateeb:
Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks. CoRR abs/2006.09902 (2020) - [i8]Muhammad Alrabeiah, Yu Zhang, Ahmed Alkhateeb:
Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware. CoRR abs/2006.14501 (2020)
2010 – 2019
- 2019
- [j1]Zheng Liu, Botao Xiao, Muhammad Alrabeiah, Keyan Wang, Jun Chen:
Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network. IEEE Signal Process. Lett. 26(6): 833-837 (2019) - [c3]Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency. ACSSC 2019: 1465-1470 - [c2]Kangdi Shi, Xiaohong Liu, Muhammad Alrabeiah, Xintong Guo, Jie Lin, Huan Liu, Jun Chen:
Image Retrieval via Canonical Correlation Analysis. CWIT 2019: 1-6 - [c1]Abdelrahman Taha, Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for Large Intelligent Surfaces in Millimeter Wave and Massive MIMO Systems. GLOBECOM 2019: 1-6 - [i7]Abdelrahman Taha, Muhammad Alrabeiah, Ahmed Alkhateeb:
Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning. CoRR abs/1904.10136 (2019) - [i6]Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency. CoRR abs/1905.03761 (2019) - [i5]Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels. CoRR abs/1910.02900 (2019) - [i4]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots. CoRR abs/1910.06960 (2019) - [i3]Muhammad Alrabeiah, Andrew Hredzak, Ahmed Alkhateeb:
Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction. CoRR abs/1911.06255 (2019) - [i2]Muhammad Alrabeiah, Andrew Hredzak, Zhenhao Liu, Ahmed Alkhateeb:
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications. CoRR abs/1911.06257 (2019) - 2018
- [i1]Zheng Liu, Botao Xiao, Muhammad Alrabeiah, Keyan Wang, Jun Chen:
Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing. CoRR abs/1810.02862 (2018)
Coauthor Index
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