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 …
Machine learning for wireless link quality estimation: A survey
Since the emergence of wireless communication networks, a plethora of research papers
focus their attention on the quality aspects of wireless links. The analysis of the rich body of …
focus their attention on the quality aspects of wireless links. The analysis of the rich body of …
Proactive received power prediction using machine learning and depth images for mmWave networks
T Nishio, H Okamoto, K Nakashima… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
This study demonstrates the feasibility of proactive received power prediction by leveraging
spatiotemporal visual sensing information towards reliable millimeter-wave (mmWave) …
spatiotemporal visual sensing information towards reliable millimeter-wave (mmWave) …
Handover management for mmWave networks with proactive performance prediction using camera images and deep reinforcement learning
Y Koda, K Nakashima, K Yamamoto… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
For millimeter-wave networks, this paper presents a paradigm shift for leveraging time-
consecutive camera images in handover decision problems. While making handover …
consecutive camera images in handover decision problems. While making handover …
Machine learning-based field data analysis and modeling for drone communications
L Shan, R Miura, T Kagawa, F Ono, HB Li… - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicle (UAV), also called a drone, is getting more and
more important in many emerging technology areas. For communication area, the drone …
more important in many emerging technology areas. For communication area, the drone …
Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard
Incorporating artificial intelligence and machine learning (AI/ML) methods within the 5G
wireless standard promises autonomous network behavior and ultra-low-latency …
wireless standard promises autonomous network behavior and ultra-low-latency …
Energy efficiency and throughput maximization using millimeter waves–microwaves HetNets
The deployment of millimeter waves can fulfil the stringent requirements of high bandwidth
and high energy efficiency in fifth generation (5G) networks. Still, millimeter waves …
and high energy efficiency in fifth generation (5G) networks. Still, millimeter waves …
Optimal handover policy for mmWave cellular networks: A multi-armed bandit approach
Millimeter wave (mmWave) is a promising technology in 5G communication due to its
abundant bandwidth re-source. However, its severe path attenuation and vulnerability to line …
abundant bandwidth re-source. However, its severe path attenuation and vulnerability to line …
An RSS-based classification of user equipment usage in indoor millimeter wave wireless networks using machine learning
The use of millimeter wave technologies offer a promising solution for dense small cell
networks, despite having to contend with challenging propagation characteristics. In …
networks, despite having to contend with challenging propagation characteristics. In …
A hybrid data manipulation approach for energy and latency-efficient vision-aided UDNs
The combination of deep learning (DL) and computer vision (CV) is shaping the future of
wireless communications by supporting the operations of ultra-dense networks (UDNs) …
wireless communications by supporting the operations of ultra-dense networks (UDNs) …