[PDF][PDF] ENHANCING BEAMFORMING AND INTELLIGENT BEAM SELECTION FOR MILLIMETER-WAVE COMMUNICATION USING ADAPTIVE BEAMFORMING …

LL Scientific - Journal of Theoretical and Applied Information …, 2024 - jatit.org
In the rapidly evolving landscape of mobile telecommunication, the optimization of
beamforming strategies stands as a critical element for ensuring the efficiency and …

AI-aided 3-D beamforming for millimeter wave communications

WC Kao, SQ Zhan, TS Lee - 2018 International Symposium on …, 2018 - ieeexplore.ieee.org
Millimeter wave (mmWave) communications are a mainstream technology of the fifth
generation (5G) systems. Beamforming plays an important role in mmWave communications …

Performance Evaluation of AI/ML Model to Enhance Beam Management in 5G-Advanced System

J Xu, I Nakamura, R Feng, L Liu… - … Conference on Mobile …, 2023 - ieeexplore.ieee.org
In fifth generation (5G) wireless communication systems, the millimeter wave (mmWave) is
identified as a significant frequency band, offering extensive spectrum resources. Despite its …

A Novel Adaptive Beamforming Model for 5G Millimeter Wave Uplink Communication System

I Borse, HD Patil - … on Artificial Intelligence and Smart Energy …, 2022 - ieeexplore.ieee.org
Millimeter wave (MMW) communication systems are emerging model for satisfying the
increased necessity of high data rate of future generation cellular communications. The …

Channel estimation and beam training with machine learning applications for millimetre-wave communication systems

N Narengerile - 2022 - era.ed.ac.uk
The fifth generation (5G) wireless system will extend the capabilities of the fourth generation
(4G) standards to serve more users and provide timely communication. To this end, the …

Design and Implementation of Machine-Learning-Based Beam Management Protocols for 5G Millimeter-Wave Networks

I Aykin - 2020 - search.proquest.com
Millimeter-wave (mmWave) communications have recently attracted considerable interest as
a key element of next-generation wireless systems, eg, 5G New Radio (NR) cellular systems …

Deep-Learning Based Beam Selection Technique for 6G Millimeter Wave Communication

SK Vankayala, S Kumar… - 2022 IEEE 33rd …, 2022 - ieeexplore.ieee.org
One of the key technologies of next-generation 6G networks is millimeter-wave
communications that will deploy a large number of antennas at the base station enabling …

Spectral efficient beamforming for mmwave miso systems using deep learning techniques

AH Nalband, M Sarvagya, MR Ahmed - Arabian Journal for Science and …, 2021 - Springer
Abstract The eMBB (enhanced Mobile BroadBand), URLLC (Ultra-Reliable, Low latency
communication) and mMTC (massive Machine Type communication) are the drivers for 5G …

Vision-Assisted mmWave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions and Open Challenges

K Zheng, H Yang, Z Ying, P Wang, L Hanzo - arXiv preprint arXiv …, 2023 - arxiv.org
Beamforming techniques have been widely used in the millimeter wave (mmWave) bands to
mitigate the path loss of mmWave radio links as the narrow straight beams by directionally …

[PDF][PDF] Machine Learning Solutions for Context Information-aware Beam Management in Millimeter Wave Communications

S Rezaie - 2023 - vbn.aau.dk
The millimeter wave (mmWave) band offers enormous bandwidth that is required for serving
emerging services like virtual reality. Leveraging the angular sparsity of mmWave channels …