- Design and Implementation of Machine|Learning|Based Beam ...🔍
- Design and Implementation for Deep Learning Based Adjustable ...🔍
- Machine learning|based design and optimization of curved beams ...🔍
- Machine Learning Based Beam Tracking in mmWave Systems🔍
- Get started with AI/ML pipelines🔍
- AI/ML for Beam Management in 5G|Advanced🔍
- Machine Learning for Millimeter Wave and Terahertz Beam ...🔍
- Deep Learning|based Beam Tracking for Millimeter|wave ...🔍
Design and Implementation of Machine|Learning|Based Beam ...
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.
Design and Implementation for Deep Learning Based Adjustable ...
Moreover, following the IEEE 802.11ad/ay protocols, we implement realistic mmWave beamforming training on a programmable hardware platform with ...
Design and Implementation of Machine-Learning-Based Beam ...
Design and implementation of machine-learning-based beam management protocols for 5G millimeter-wave networks.
Design and Implementation for Deep Learning Based Adjustable ...
The datasets obtained from the beam profiling and the machine learning model for beamforming are valuable for a broad set of network design problems, such ...
Design and Implementation for Deep Learning Based Adjustable ...
... proposed machine/deep learning. model for beam training by implementing it on a WiGig. platform. Section VI concludes this paper. II. SY S TE M MODE L AND ...
Design and Implementation for Deep Learning Based Adjustable ...
In Section V, we validate the proposed machine/deep learning model for beam training by implementing it on a WiGig platform. Section VI ...
Machine learning-based design and optimization of curved beams ...
... development and application of curved beams with varying thickness. In this paper, we demonstrate a new approach to design and optimize curved beams based ...
(PDF) Machine Learning-Based Beamforming Algorithm for Massive ...
The following research focuses on the use of machine learning-based beamforming algorithms to improve Massive Multiple Input Multiple Output (MIMO) systems in ...
Machine Learning Based Beam Tracking in mmWave Systems
In addition, some algorithms cannot be operated with missing data. As a result, missing data imputation is vital before the algorithm implementation. Missing ...
Get started with AI/ML pipelines - Apache Beam®
Beam provides different ways to implement inference as part of your pipeline. ... You can use Apache Beam with the RunInference API to use machine learning ...
AI/ML for Beam Management in 5G-Advanced: A Standardization ...
... based on machine learning (ML) techniques. AI/ML for BM is selected ... In contrast, non-AI methods, which design beam prediction strategies based ...
Machine Learning for Millimeter Wave and Terahertz Beam ...
propagation environment through a dynamic design of beam sweeping codebooks [39], [73]. ... EVALUATION OF MACHINE-LEARNING-BASED. MILLIMETER WAVE ...
Deep Learning-based Beam Tracking for Millimeter-wave ... - arXiv
However, modeling different types of data acquired from sensor and communication signals to design beam tracking methods is difficult. Thus, applying ...
Deep reinforcement learning-based beam training with energy and ...
Recently, machine learning (ML) algorithms have drawn lots of attention in wireless communication as an alternative approach to optimise the ...
Machine learning design patterns: between Beam and a hard place
Session presented by Lak Lakshmanan at Beam Summit 2022. In a recent book entitled "Machine Learning Design Patterns", best practices and ...
Beam-selection for mmWave MIMO using machine learning - GitHub
5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning, Aldebaro Klautau, Pedro Batista, Nuria Gonzalez-Prelcic, Yuyang Wang and ...
Method and apparatus for machine learning based wide beam ...
The present disclosure relates an artificial intelligence (AI) system and its application that sumltate functions such as recognition and judgment of a human ...
Neural Network for Beam Selection - MathWorks
Klautau, A., Batista, P., González-Prelcic, N., Wang, Y., and Heath, R. W., "5G MIMO Data for Machine Learning: Application to Beam-Selection Using Deep ...
Beam-Selection for 5G/B5G Networks Using Machine Learning - MDPI
There are several survey papers in the literature that discuss different aspects of ML application to future wireless networks. The topic of antenna design for ...
Application of deep learning methods for beam size control during ...
We introduce the development of a more robust neural network (NN)-based algorithm that utilizes a novel online fine-tuning approach and its systematic ...