[HTML][HTML] 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 …
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
[HTML][HTML] Machine learning: A catalyst for THz wireless networks
AAA Boulogeorgos, E Yaqub, M Di Renzo… - Frontiers in …, 2021 - frontiersin.org
With the vision to transform the current wireless network into a cyber-physical intelligent
platform capable of supporting bandwidth-hungry and latency-constrained applications, both …
platform capable of supporting bandwidth-hungry and latency-constrained applications, both …
[HTML][HTML] Hybrid beamforming in 5G nr networks using multi user massive MIMO at FR2 frequency bands
R Dilli - Wireless Personal Communications, 2022 - Springer
Abstract The current Sub 6 GHz band is highly occupied and unable to meet the demands of
future wireless data traffic. As the millimeter wave technology is a promising way of …
future wireless data traffic. As the millimeter wave technology is a promising way of …
Multidimensional graph neural networks for wireless communications
Graph neural networks (GNNs) can improve the efficiency of learning wireless policies by
leveraging their permutation properties and topology prior. While mismatched permutation …
leveraging their permutation properties and topology prior. While mismatched permutation …
Machine learning based beam selection with low complexity hybrid beamforming design for 5G massive MIMO systems
In this paper, we present an energy-efficient joint machine learning based beam-user
selection and low complexity hybrid beamforming for the multiuser massive multiple-input …
selection and low complexity hybrid beamforming for the multiuser massive multiple-input …
Hybrid beamforming for massive MIMO using rectangular antenna array model in 5G wireless networks
TS Priya, K Manish, P Prakasam - Wireless Personal Communications, 2021 - Springer
Fifth and future generation (5G and B5G) wireless networks aim to serve users with higher
data rates and lower latency. Data traffic due to the rapid growth in communication has …
data rates and lower latency. Data traffic due to the rapid growth in communication has …
Scalable Hybrid Beamforming for Multi-User MISO Systems: A Graph Neural Network Approach
S Wan, Z Wang, Y Zhou - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Hybrid beamforming is a promising technology for enhancing the energy-and spectral-
efficiency of wireless networks with large-scale antenna arrays, yet the current designs fall …
efficiency of wireless networks with large-scale antenna arrays, yet the current designs fall …
Spectral efficient beamforming for mmwave miso systems using deep learning techniques
Abstract The eMBB (enhanced Mobile BroadBand), URLLC (Ultra-Reliable, Low latency
communication) and mMTC (massive Machine Type communication) are the drivers for 5G …
communication) and mMTC (massive Machine Type communication) are the drivers for 5G …
Harnessing Multimodal Sensing for Multi-user Beamforming in mmWave Systems
K Patel, RW Heath Jr - arXiv preprint arXiv:2406.05300, 2024 - arxiv.org
Sensor-aided beamforming reduces the overheads associated with beam training in
millimeter-wave (mmWave) multi-input-multi-output (MIMO) communication systems. Most …
millimeter-wave (mmWave) multi-input-multi-output (MIMO) communication systems. Most …
Extreme learning machine and correntropy criterion-based hybrid precoder for 5G wireless communication systems
Application of massive multiple input multiple output (mMIMO) in millimeter wave (mmWave)
band is a promising solution for 5G communication due to low latency and directional …
band is a promising solution for 5G communication due to low latency and directional …