A literature survey on AI-aided beamforming and beam management for 5G and 6G systems

DS Brilhante, JC Manjarres, R Moreira… - Sensors, 2023 - mdpi.com
Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …

Deep learning on multimodal sensor data at the wireless edge for vehicular network

B Salehi, G Reus-Muns, D Roy, Z Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Beam selection for millimeter-wave links in a vehicular scenario is a challenging problem, as
an exhaustive search among all candidate beam pairs cannot be assuredly completed …

Multiverse at the edge: interacting real world and digital twins for wireless beamforming

B Salehi, U Demir, D Roy, S Pradhan… - IEEE/ACM …, 2024 - ieeexplore.ieee.org
Creating a digital world that closely mimics the real world with its many complex interactions
and outcomes is possible today through advanced emulation software and ubiquitous …

Harnessing Multimodal Sensing for Multi-user Beamforming in mmWave Systems

K Patel, RW Heath - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Sensor-aided beamforming reduces the overheads associated with beam training in
millimeter-wave (mmWave) multi-input-multi-output (MIMO) communication systems. Most …

A Deep Learning Framework for Adaptive Beamforming in Massive MIMO Millimeter Wave 5G Multicellular Networks

S Lavdas, PK Gkonis, E Tsaknaki, L Sarakis… - Electronics, 2023 - mdpi.com
The goal of this paper is the performance evaluation of a deep learning approach when
deployed in fifth-generation (5G) millimeter wave (mmWave) multicellular networks. To this …

Vision-Assisted Beam Prediction for Real World 6G Drone Communication

I Ahmad, AR Khan, RNB Rais, A Zoha… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
The rapid evolution of drone communication systems necessitates the development of novel
approaches for optimal beam management in millimetre wave (mmWave) 6G networks …

A Multi-Band mm-Wave Experimental Platform Towards Environment-Aware Beam Management in the Beyond-5G Era

A Schott, A Ichkov, B Acikgöz, N Beckmann… - Proceedings of the 30th …, 2024 - dl.acm.org
Agile beam management is key to seamless high-speed mm-wave connectivity in the
beyond-5G era, given the site-specific spatio-temporal variations of the mm-wave channel …

Convolutional Neural Network Algorithm and Application Method for Real-Time Beam Steering in RF System

SJ Byun, DY Ann, JW Jo, HJJ Lee, YJ Jung… - IEEE …, 2024 - ieeexplore.ieee.org
This paper presents a novel artificial intelligence (AI)-based phase shift system in a
beamforming system implemented with field programmable gate array (FPGA)-based …

Hydra Radio Access Network (H-RAN): Multi-Functional Communications and Sensing Networks, Initial Access Implementation, Task-2 Approach

RI Abd, DJ Findley, KS Kim - IEEE Access, 2025 - ieeexplore.ieee.org
Hydra radio access networks (H-RANs) are poised to revolutionize the way data is gathered,
transmitted, and analyzed, ushering in an era of unprecedented connectivity, efficiency, and …

FLASH-and-Prune: Federated Learning for Automated Selection of High-band mmWave Sectors using Model Pruning

B Salehi, D Roy, J Gu, C Dick… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Fast sector-steering in the mmWave band for vehicular mobility scenarios is a challenge
because standard-defined exhaustive search over predefined antenna sectors cannot be …