Muhammad Alrabeiah

Jun Chen

IEEE Access, 2023

2022

Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams That Adapt to Deployment and Hardware.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration.

[BibT_eX]

[DOI]

IEEE Open J. Commun. Soc., 2022

Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing.

[BibT_eX]

[DOI]

Inf., 2022

Sky Imager Data Reduction Using Autoencoder and Internet of Things Computing.

[BibT_eX]

[DOI]

IEEE Access, 2022

Deep Learning for Moving Blockage Prediction using Real mmWave Measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

2021

Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff.

[BibT_eX]

[DOI]

Gouranga Charan

IEEE Trans. Veh. Technol., 2021

Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements.

[BibT_eX]

[DOI]

CoRR, 2021

Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning.

[BibT_eX]

[DOI]

Abdelrahman Taha

IEEE Access, 2021

Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks.

[BibT_eX]

[DOI]

Gouranga Charan

Proceedings of the IEEE International Conference on Communications Workshops, 2021

Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

Deep Learning for Massive MIMO With 1-Bit ADCs: When More Antennas Need Fewer Pilots.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2020

Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2020

ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions.

[BibT_eX]

[DOI]

CoRR, 2020

ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Millimeter Wave Base Stations with Cameras: Vision-Aided Beam and Blockage Prediction.

[BibT_eX]

[DOI]

Andrew Hredzak

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Vision Aided URLL Communications: Proactive Service Identification and Coexistence.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Learning for Large Intelligent Surfaces in Millimeter Wave and Massive MIMO Systems.

[BibT_eX]

[DOI]

Abdelrahman Taha

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Image Retrieval via Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Proceedings of the 16th Canadian Workshop on Information Theory, 2019

Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency.

[BibT_eX]

[DOI]