[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 …

Acquisition of channel state information for mmWave massive MIMO: Traditional and machine learning-based approaches

C Qi, P Dong, W Ma, H Zhang, Z Zhang… - Science China Information …, 2021 - Springer
The accuracy of channel state information (CSI) acquisition directly affects the performance
of millimeter wave (mmWave) communications. In this article, we provide an overview on …

Deep-learning-based wireless resource allocation with application to vehicular networks

L Liang, H Ye, G Yu, GY Li - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
It has been a long-held belief that judicious resource allocation is critical to mitigating
interference, improving network efficiency, and ultimately optimizing wireless communication …

Beam management in millimeter-wave communications for 5G and beyond

YNR Li, B Gao, X Zhang, K Huang - IEEE Access, 2020 - ieeexplore.ieee.org
Massive MIMO is one of the promising techniques to improve spectral efficiency and network
performance for reaching its targeted multi-gigabit throughput in 5G systems. For 5G New …

Deep learning-based mmWave beam selection for 5G NR/6G with sub-6 GHz channel information: Algorithms and prototype validation

MS Sim, YG Lim, SH Park, L Dai, CB Chae - IEEE Access, 2020 - ieeexplore.ieee.org
In fifth-generation (5G) communications, millimeter wave (mmWave) is one of the key
technologies to increase the data rate. To overcome this technology's poor propagation …

Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

A survey of millimeter-wave communication: Physical-layer technology specifications and enabling transmission technologies

S He, Y Zhang, J Wang, J Zhang, J Ren… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Millimeter-wave (mmWave) frequency bands, which offer abundant underutilized spectral
resources, have been explored and exploited in the past several years to meet the …

Machine learning for millimeter wave and terahertz beam management: A survey and open challenges

MQ Khan, A Gaber, P Schulz, G Fettweis - IEEE Access, 2023 - ieeexplore.ieee.org
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …

Intelligent interactive beam training for millimeter wave communications

J Zhang, Y Huang, J Wang, X You… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Millimeter wave communications, equipped with large-scale antenna arrays, are able to
provide Gbps data rates by exploring abundant spectrum resources. However, the use of a …