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09/06/2023
Terahertz-Band Direction Finding With Beam-Split and Mutual Coupling Calibration
Terahertz (THz) band is currently envisioned as the key building block t...
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08/08/2023
Sparse Array Design for Direction Finding using Deep Learning
In the past few years, deep learning (DL) techniques have been introduce...
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07/14/2023
Antenna Selection With Beam Squint Compensation for Integrated Sensing and Communications
Next-generation wireless networks strive for higher communication rates,...
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03/22/2023
Spatial Path Index Modulation in mmWave/THz-Band Integrated Sensing and Communications
As the demand for wireless connectivity continues to soar, the fifth gen...
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02/05/2023
BSA-OMP: Beam-Split-Aware Orthogonal Matching Pursuit for THz Channel Estimation
Terahertz (THz)-band has been envisioned for the sixth generation wirele...
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02/03/2023
NBA-OMP: Near-field Beam-Split-Aware Orthogonal Matching Pursuit for Wideband THz Channel Estimation
The sixth-generation networks envision the terahertz (THz) band as one o...
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11/08/2022
Millimeter-Wave Radar Beamforming with Spatial Path Index Modulation Communications
To efficiently utilize the wireless spectrum and save hardware costs, th...
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11/03/2022
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques
Beamforming is a signal processing technique to steer, shape, and focus ...
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11/02/2022
Machine Learning for Metasurfaces Design and Their Applications
Metasurfaces (MTSs) are increasingly emerging as enabling technologies t...
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09/24/2022
A Unified Approach for Beam-Split Mitigation in Terahertz Wideband Hybrid Beamforming
The sixth generation networks envision the deployment of terahertz (THz)...
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08/07/2022
Terahertz-Band Channel and Beam Split Estimation via Array Perturbation Model
For the demonstration of ultra-wideband bandwidth and pencil-beamforming...
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07/13/2022
Federated Learning for THz Channel Estimation
This paper addresses two major challenges in terahertz (THz) channel est...
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06/24/2022
Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networks
With the deployment of the fifth generation (5G) wireless systems gather...
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05/06/2022
Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals
Channel estimation is a critical task in intelligent reflecting surface ...
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04/14/2022
The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms
The intelligent reflecting surface (IRS) alters the behavior of wireless...
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05/07/2021
A Family of Hybrid Federated and Centralized Learning Architectures in Machine Learning
Many of the machine learning tasks focus on centralized learning (CL), w...
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02/27/2021
Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming
Wireless communications and sensing at terahertz (THz) band are increasi...
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02/23/2021
Federated Learning for Physical Layer Design
Model-free techniques, such as machine learning (ML), have recently attr...
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02/15/2021
Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systems
Millimeter wave multiple-input multiple-output (mmWave-MIMO) systems wit...
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11/13/2020
Hybrid Federated and Centralized Learning
Many of the machine learning (ML) tasks are focused on centralized learn...
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10/15/2020
Vehicular Networks for Combating a Worldwide Pandemic: Preventing the Spread of COVID-19
As a worldwide pandemic, the coronavirus disease-19 (COVID-19) has cause...
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10/07/2020
Cognitive Learning-Aided Multi-Antenna Communications
Cognitive communications have emerged as a promising solution to enhance...
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09/05/2020
A Survey of Deep Learning Architectures for Intelligent Reflecting Surfaces
Intelligent reflecting surfaces (IRSs) have recently received significan...
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08/25/2020
Federated Learning for Channel Estimation in Conventional and IRS-Assisted Massive MIMO
Machine learning (ML) has attracted a great research interest for the pr...
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06/19/2020
A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback
Hybrid beamformer design plays very crucial role in the next generation ...
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06/02/2020
Federated Learning for Vehicular Networks
Machine learning (ML) has already been adopted in vehicular networks for...
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05/20/2020
Federated Deep Learning Framework For Hybrid Beamforming in mm-Wave Massive MIMO
Machine learning (ML) for wireless communications requires the training ...
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04/24/2020
Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning
Sparse sensor array selection arises in many engineering applications, w...
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01/29/2020
Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems
This letter presents the first work introducing a deep learning (DL) fra...
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12/20/2019
Deep Learning Strategies For Joint Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO Systems
Hybrid analog and digital beamforming transceivers are instrumental in a...
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12/09/2019
DeepMUSIC: Direction Finding via Deep Learning
This letter introduces a deep learning (DL) framework for direction-of-a...
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11/11/2019
Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach
In multi-user millimeter wave (mmWave) multiple-input-multiple-output (M...
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02/27/2018