Ahmed Alkhateeb

research

∙ 08/20/2023

Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration

Accurately aligning millimeter-wave (mmWave) and terahertz (THz) narrow ...

0 Tawfik Osman, et al. ∙

research

∙ 08/14/2023

Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios

Leveraging sensory information to aid the millimeter-wave (mmWave) and s...

0 Gouranga Charan, et al. ∙

research

∙ 06/18/2023

Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds

Radar as a remote sensing technology has been used to analyze human acti...

0 Shuaifeng Jiang, et al. ∙

research

∙ 02/13/2023

Environment Semantic Aided Communication: A Real World Demonstration for Beam Prediction

Millimeter-wave (mmWave) and terahertz (THz) communication systems adopt...

0 Shoaib Imran, et al. ∙

research

∙ 01/30/2023

A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems

Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined ...

0 Yu Zhang, et al. ∙

research

∙ 01/26/2023

Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming

This paper considers a cell-free integrated sensing and communication (I...

0 Umut Demirhan, et al. ∙

research

∙ 01/26/2023

Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond

This article presents a vision where real-time digital twins of the phys...

0 Ahmed Alkhateeb, et al. ∙

research

∙ 01/18/2023

Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality?

Realizing the potential gains of large-scale MIMO systems requires the a...

0 Shuaifeng Jiang, et al. ∙

research

∙ 11/24/2022

Sensing Aided Reconfigurable Intelligent Surfaces for 3GPP 5G Transparent Operation

Can reconfigurable intelligent surfaces (RISs) operate in a standalone m...

0 Shuaifeng Jiang, et al. ∙

research

∙ 11/17/2022

DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset

This article presents the DeepSense 6G dataset, which is a large-scale d...

0 Ahmed Alkhateeb, et al. ∙

research

∙ 11/17/2022

Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures

Line-of-sight link blockages represent a key challenge for the reliabili...

0 Shunyao Wu, et al. ∙

research

∙ 11/15/2022

Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth Estimation

Current scene depth estimation approaches mainly rely on optical sensing...

0 Abdelrahman Taha, et al. ∙

research

∙ 11/14/2022

Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction

Millimeter wave (mmWave) and terahertz (THz) drones have the potential t...

0 Gouranga Charan, et al. ∙

research

∙ 11/14/2022

Camera Aided Reconfigurable Intelligent Surfaces: Computer Vision Based Fast Beam Selection

Reconfigurable intelligent surfaces (RISs) have attracted increasing int...

0 Shuaifeng Jiang, et al. ∙

research

∙ 10/06/2022

Deep Learning of Near Field Beam Focusing in Terahertz Wideband Massive MIMO Systems

Employing large antenna arrays and utilizing large bandwidth have the po...

0 Yu Zhang, et al. ∙

research

∙ 09/22/2022

Sensing Aided OTFS Channel Estimation for Massive MIMO Systems

Orthogonal time frequency space (OTFS) modulation has the potential to e...

0 Shuaifeng Jiang, et al. ∙

research

∙ 09/15/2022

Multi-Modal Beam Prediction Challenge 2022: Towards Generalization

Beam management is a challenging task for millimeter wave (mmWave) and s...

0 Gouranga Charan, et al. ∙

research

∙ 09/09/2022

Online Beam Learning with Interference Nulling for Millimeter Wave MIMO Systems

Employing large antenna arrays is a key characteristic of millimeter wav...

0 Yu Zhang, et al. ∙

research

∙ 08/03/2022

Integrated Sensing and Communication for 6G: Ten Key Machine Learning Roles

Integrating sensing and communication is a defining theme for future wir...

0 Umut Demirhan, et al. ∙

research

∙ 05/18/2022

Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?

Millimeter-wave (mmWave) communication systems rely on narrow beams for ...

0 João Morais, et al. ∙

research

∙ 03/10/2022

LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications

This paper presents the first large-scale real-world evaluation for usin...

0 Shuaifeng Jiang, et al. ∙

research

∙ 03/03/2022

Computer Vision Aided Blockage Prediction in Real-World Millimeter Wave Deployments

This paper provides the first real-world evaluation of using visual (RGB...

0 Gouranga Charan, et al. ∙

research

∙ 02/05/2022

Predicting Future CSI Feedback For Highly-Mobile Massive MIMO Systems

Massive multiple-input multiple-output (MIMO) system is promising in pro...

0 Yu Zhang, et al. ∙

research

∙ 12/08/2021

Autoencoder-based Communications with Reconfigurable Intelligent Surfaces

This paper presents a novel approach for the joint design of a reconfigu...

0 Tugba Erpek, et al. ∙

research

∙ 11/29/2021

Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems

Millimeter wave (mmWave) and sub-terahertz communication systems rely ma...

0 Umut Demirhan, et al. ∙

research

∙ 11/29/2021

Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment

Millimeter-wave (mmWave) and terahertz (THz) communications require beam...

0 Shuaifeng Jiang, et al. ∙

research

∙ 11/18/2021

Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration

This paper presents the first machine learning based real-world demonstr...

0 Umut Demirhan, et al. ∙

research

∙ 11/18/2021

LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems

Line-of-sight link blockages represent a key challenge for the reliabili...

0 Shunyao Wu, et al. ∙

research

∙ 11/16/2021

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

Overcoming the link blockage challenges is essential for enhancing the r...

0 Shunyao Wu, et al. ∙

research

∙ 11/15/2021

Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets

Enabling highly-mobile millimeter wave (mmWave) and terahertz (THz) wire...

0 Gouranga Charan, et al. ∙

research

∙ 10/05/2021

Enabling Cell-Free Massive MIMO Systems with Wireless Millimeter Wave Fronthaul

Cell-free massive MIMO systems have promising data rate and uniform cove...

0 Umut Demirhan, et al. ∙

research

∙ 09/30/2021

Learning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels

Reconfigurable intelligent surfaces (RIS) are expected to play an import...

0 Yu Zhang, et al. ∙

research

∙ 09/16/2021

Design and Evaluation of Reconfigurable Intelligent Surfaces in Real-World Environment

Reconfigurable intelligent surfaces (RISs) have promising coverage and d...

0 Georgios C. Trichopoulos, et al. ∙

research

∙ 03/18/2021

Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence

The support of coexisting ultra-reliable and low-latency (URLL) and enha...

13 Muhammad Alrabeiah, et al. ∙

research

∙ 02/22/2021

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

Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined ...

0 Yu Zhang, et al. ∙

research

∙ 02/22/2021

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

We consider the problem of proactive handoff and beam selection in Terah...

0 Nof Abuzainab, et al. ∙

research

∙ 02/18/2021

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

The sensitivity to blockages is a key challenge for the high-frequency (...

8 Gouranga Charan, et al. ∙

research

∙ 02/18/2021

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

Employing large antenna arrays is a key characteristic of millimeter wav...

0 Yu Zhang, et al. ∙

research

∙ 01/18/2021

Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements

Millimeter wave (mmWave) communication is a key component of 5G and beyo...

0 Shunyao Wu, et al. ∙

research

∙ 07/18/2020

Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction

Existing work in intelligent communications has recently made preliminar...

0 Yuwen Yang, et al. ∙

research

∙ 06/25/2020

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

Millimeter wave (mmWave) and massive MIMO systems are intrinsic componen...

0 Muhammad Alrabeiah, et al. ∙

research

∙ 06/17/2020

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

Unlocking the full potential of millimeter-wave and sub-terahertz wirele...

0 Gouranga Charan, et al. ∙

research

∙ 06/11/2020

Relay Aided Intelligent Reconfigurable Surfaces: Achieving the Potential Without So Many Antennas

This paper proposes a novel relay-aided intelligent reconfigurable surfa...

0 Xiaoyan Ying, et al. ∙

research

∙ 03/07/2020

Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs

Deploying large antenna arrays coupled with high-speed and high-resoluti...

0 Jinseok Choi, et al. ∙

research

∙ 02/25/2020

Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation

The promising coverage and spectral efficiency gains of intelligent refl...

0 Abdelrahman Taha, et al. ∙

research

∙ 02/25/2020

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

Scaling the number of antennas up is a key characteristic of current and...

0 Yu Zhang, et al. ∙

research

∙ 02/06/2020

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

Vision-aided wireless communication is motivated by the recent advances ...

0 Muhammad Alrabeiah, et al. ∙

research

∙ 12/27/2019

Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems

Artificial intelligence (AI) based downlink channel state information (C...

0 Yuwen Yang, et al. ∙

research

∙ 11/14/2019

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

The growing role that artificial intelligence and specifically machine l...

12 Muhammad Alrabeiah, et al. ∙

research

∙ 11/14/2019

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

This paper investigates a novel research direction that leverages vision...

0 Muhammad Alrabeiah, et al. ∙

Ahmed Alkhateeb

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