Evolution of non-terrestrial networks from 5G to 6G: A survey

MM Azari, S Solanki, S Chatzinotas… - … surveys & tutorials, 2022 - ieeexplore.ieee.org
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …

A survey on machine-learning techniques for UAV-based communications

PS Bithas, ET Michailidis, N Nomikos, D Vouyioukas… - Sensors, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …

Artificial intelligence enabled radio propagation for communications—Part II: Scenario identification and channel modeling

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
This two-part paper investigates the application of artificial intelligence (AI) and, in particular,
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …

Machine learning in beyond 5G/6G networks—State-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - Electronics, 2021 - mdpi.com
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …

Transfer learning for wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu… - Proceedings of the …, 2022 - ieeexplore.ieee.org
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

UAV communications with millimeter-wave beamforming: Potentials, scenarios, and challenges

Z Xiao, L Zhu, XG Xia - China Communications, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has been widely used in many fields and is arousing global
attention. As the resolution of the equipped sensors in the UAV becomes higher and the …

Channel measurements and models for 6G: current status and future outlook

J Zhang, P Tang, L Yu, T Jiang, L Tian - Frontiers of information technology …, 2020 - Springer
With the commercialization of fifth generation networks worldwide, research into sixth
generation (6G) networks has been launched to meet the demands for high data rates and …

A survey on spectrum management for unmanned aerial vehicles (UAVs)

MA Jasim, H Shakhatreh, N Siasi, AH Sawalmeh… - IEEE …, 2021 - ieeexplore.ieee.org
The operation of unmanned aerial vehicles (UAV) imposes various challenges on radio
spectrum management to achieve safe operation, efficient spectrum utilization, and …

Machine-learning-based 3-D channel modeling for U2V mmWave communications

K Mao, Q Zhu, M Song, H Li, B Ning… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide
flexible link and high data rate for future communication networks. By considering the new …

Transfer learning for future wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu, YM Saputra… - arXiv preprint arXiv …, 2021 - arxiv.org
With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …