- Machine Learning|Assisted Beam Alignment for mmWave Systems🔍
- Machine learning|assisted mmWave beam management🔍
- Machine Learning for Beam Alignment in Millimeter Wave Massive ...🔍
- Machine Learning Assisted Beam Training and Tracking🔍
- Machine learning for beam alignment in mmWave networks🔍
- Deep Reinforcement Learning for mmWave Initial Beam Alignment🔍
- Machine Learning Techniques for Blind Beam Alignment in ...🔍
- Machine Learning for Millimeter Wave and Terahertz Beam ...🔍
Machine Learning|Assisted Beam Alignment for mmWave Systems
Machine Learning-Assisted Beam Alignment for mmWave Systems
We propose a beam training method that is assisted by machine learning (ML), where we train ML models to predict the optimal Access Point (AP) and optimal beam ...
Machine Learning-Assisted Beam Alignment for mmWave Systems
We propose a beam alignment method that is assisted by machine learning (ML), where we train ML models to predict the optimal access point (AP) and beam.
Machine learning-assisted mmWave beam management
In the first part of this dissertation, a machine learning (ML)-aided beam alignment method is proposed where ML models are trained to predict candidate beams ...
Machine Learning-Assisted Beam Alignment for mmWave Systems
Request PDF | Machine Learning-Assisted Beam Alignment for mmWave Systems | Beam alignment is a challenging and time-consuming process for millimeter wave ...
mmRAPID | Proceedings of the 4th ACM Workshop on Millimeter ...
In this work, we introduce a neural network assisted compressive beam alignment method that uses noncoherent received signal strength measured by a small number ...
Machine Learning for Beam Alignment in Millimeter Wave Massive ...
This article investigates beam alignment for multi-user millimeter wave (mmWave) massive multi-input multi-output system. Unlike the existing works using ...
Machine Learning for Beam Alignment in Millimeter Wave Massive ...
In this article, we propose an alignment method with partial beams using ML (AMPBML) for the multi-user mmWave massive MIMO system. The NN for ...
Machine Learning Assisted Beam Training and Tracking | CORES Lab
In this project, we aim to reduce the beam alignment overhead for practical mmW communication through novel algorithms that combine compressed sensing and ...
Machine Learning-Assisted Beam Alignment for mmWave Systems
The brushless doubly-fed reluctance generator (BDFRG) is an excellent candidate for renewable energy applications such as wind turbine generators. It requires a ...
Machine learning for beam alignment in mmWave networks
In [25], deep reinforcement learning is leveraged to perform beam alignment for multi-user mmWave systems. In this thesis, we focus on the ...
Deep Reinforcement Learning for mmWave Initial Beam Alignment
Abstract:We investigate the applicability of deep reinforcement learning algorithms to the adaptive initial access beam alignment problem ...
mmRAPID: Machine Learning assisted Noncoherent Compressive ...
A key design challenge is to enable rapid beam alignment with phased arrays. Traditional millimeter-wave systems require a high beam alignment.
Machine Learning Techniques for Blind Beam Alignment in ... - MDPI
We assume a single-user massive mmWave MIMO, Uplink, using a fully analog architecture. Assuming large-dimension codebooks of possible beam patterns at U E and ...
Machine Learning for Millimeter Wave and Terahertz Beam ...
2Vodafone Chair for Mobile Communications Systems, Technische Universität Dresden, Germany. Corresponding author: M. Qurratulain Khan (e-mail: ...
Yuqiang Heng - Google Scholar
Machine learning-assisted beam alignment for mmWave systems. Y Heng, JG Andrews. IEEE Transactions on Cognitive Communications and Networking 7 (4), 1142-1155, ...
Augmenting Beam Alignment for mmWave Communication Systems ...
In recent years, deep learning (DL) has garnered increasing focus as a promising technology for 6G, particularly in the field of wireless ...
Machine Learning for Beam Alignment in Millimeter Wave Massive ...
Simulation results demonstrate that the AMPBML outperforms the existing methods, including the adaptive compressed sensing, ...
Machine Learning for beam Alignment in mmWave massive MIMO
Beam Alignment for mmWave massive MIMO systems using Machine Learning tech- niques. The goal is to propose signal processing approaches for ...
Deep Learning Based Adaptive Joint mmWave Beam Alignment
The challenging propagation environment, combined with the hardware limitations of mmWave systems, gives rise to the need for accurate initial access beam ...
Machine Learning Assisted Phase-less Millimeter-Wave Beam ...
Using experimental data in multipath channels, our proposed algorithm demonstrates an 88% reduction in beam alignment overhead compared ...