Machine learning|assisted mmWave beam management

Machine Learning (ML)-Assisted Beam Management in Millimeter ...

Beam management (BM) protocols are critical for establishing and maintaining connectivity between network radio nodes and User Equipments (UEs).

Machine learning-assisted mmWave beam management

Millimeter wave (mmWave) devices need to leverage highly directional beamforming (BF) to overcome the higher isotropic path loss. On the other hand, ...

Machine Learning (ML)-assisted Beam Management in ... - arXiv

Machine Learning (ML)-assisted Beam. Management in millimeter (mm)Wave Distributed. Multiple Input Multiple Output (D-MIMO) systems. Karthik ...

Machine-learning-aided method for optimizing beam selection and ...

Finding the optimal beam pair and update time in 5G systems operating at mmWave frequencies is time-intensive and resource-demanding.

Machine Learning for Millimeter Wave and Terahertz Beam ...

For high directional gain, a beam management (BM) framework acquires and tracks optimal downlink and uplink beam pairs through exhaustive beam ...

Machine Learning for Millimeter Wave and Terahertz Beam ...

INDEX TERMS 6G, beam management (BM), beam tracking, federated learning (FL), machine learning. (ML), millimeter wave (mmWave), reinforcement ...

AI/ML - PHY : Beam Management - 5G | ShareTechnote

Image Source : Deep Learning Assisted mmWave Beam Prediction with Prior Low-frequency Information ... Machine Learning (AI/ML) based beam management within ...

A Low-Complexity Machine Learning Design for mmWave Beam ...

An important study item in this project is the evaluation of ML for beam management, where spatial and temporal-domain beam prediction are the sub use cases ...

Machine learning for beam alignment in mmWave networks

We leverage unsupervised deep learning to exploit the channel knowledge at sub-6 GHz and predict beamforming vectors in the mmWave band; this ...

Design and Implementation of Machine-Learning-Based Beam ...

Design and Implementation of Machine-Learning-Based Beam Management Protocols for 5G Millimeter-Wave Networks · Author · Issue Date · Keywords · Advisor · Metadata.

Machine Learning-Assisted Beam Alignment for mmWave Systems

In addition to the advanced AI algorithms such as LSTMs and CNNs, several conventional AI/ML techniques have also been employed for beam management, [63], [66], ...

Machine Learning Empowered Beam Management for ... - NASA ADS

Recently, intelligent reflecting surface (IRS) assisted mmWave networks are emerging, which bear the potential to address the blockage issue of the ...

Deep Learning for mmWave Beam-Management - ACM Digital Library

Deep learning (DL) may be harnessed for beam-management. First, the current state-of-the-art is reviewed, followed by the associated challenges and future ...

Machine Learning Based Beam Tracking in mmWave Systems

We propose a simulator that can generate time series based beam management data. The simulator contains a 7 BS (Base Station) environment and multiple types of ...

Classification of machine learning based beam management...

Next-generation wireless communication networks will benefit from beamforming gain to utilize higher bandwidths at millimeter-wave (mmWave) and terahertz ...

Deep Learning Assisted Calibrated Beam Training for Millimeter ...

This paper proposes a wide beam based training approach to calibrate the narrow beam direction according to the channel power leakage to achieve ...

mmRAPID | Proceedings of the 4th ACM Workshop on Millimeter ...

mmRAPID: Machine Learning assisted Noncoherent Compressive Millimeter-Wave Beam Alignment. Authors: Han Yan.

Neural Network for Beam Selection - MATLAB & Simulink - MathWorks

To enable millimeter wave (mmWave) communications, beam management ... machine learning has been applied to the beam selection problem. Typically, the beam ...

[PDF] Deep Learning-Based Beam Management and Interference ...

Deep learning could be a powerful tool to mitigate the complexity of RRM problems in dense mmWave networks through a deep learning-based beam management and ...

AI Based Beam Management for 5G (mmWave) at Wireless Edge

Recent advances in Artificial. Intelligence (AI) have shown that Machine Learning (ML) and. Deep Learning (DL) based techniques can play a significant role in ...