Systematic Literature Review on the Machine Learning Techniques for UAV-Assisted mm-Wave Communications

MS Sugesh, G Vairavel - International Conference on Electrical and …, 2023 - Springer
The application of machine learning (ML) solutions in UAV-assisted 5G communication can
bring significant benefits to 5G and beyond 5G communication. There is little elementary …

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 …

The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges

SK Khan, U Naseem, H Siraj, I Razzak… - Transactions on …, 2021 - Wiley Online Library
Next‐generation wireless communication networks, in particular, the densified 5G will bring
many developments to the existing telecommunications industry. The key benefits will be the …

An overview of machine learning applied in wireless UAV networks

PV Klaine, RD Souza, L Zhang… - Wiley 5G Ref: The …, 2019 - Wiley Online Library
Unmanned aerial vehicles (UAVs) are expected to be deployed in future cellular networks in
a wide range of scenarios, such as to rapidly restore network service after natural disasters …

A review on recent approaches in mmWave UAV-aided communication networks and open issues

QT Do, DS Lakew, AT Tran, DT Hua… - 2023 International …, 2023 - ieeexplore.ieee.org
Recently, the use of unmanned aerial vehicles (UAVs) is spreading to many fields,
especially for wireless communication-related tasks. However, such communication is facing …

Machine learning and AI approach to improve UAV communication and networking

B Baig, AQ Shahzad - Computational intelligence for unmanned aerial …, 2022 - Springer
With the advent of unmanned aerial vehicles (UAVs) several sector of life has been
improved. Currently, numerous researches are carried out to enhance UAV capabilities …

Emulating UAV motion by utilizing robotic arm for mmWave wireless channel characterization

A Kachroo, CA Thornton, MAR Sarker… - … on Antennas and …, 2021 - ieeexplore.ieee.org
In this article, millimeter-wave (mmWave) wireless channel characteristics (Doppler spread
and path loss modeling) for unmanned aerial vehicle (UAV)-assisted communication is …

Uav based 5g network: A practical survey study

M Abuzamak, H Kholidy - arXiv preprint arXiv:2212.13329, 2022 - arxiv.org
Unmanned aerial vehicles (UAVs) are anticipated to significantly contribute to the
development of new wireless networks that could handle high-speed transmissions and …

UAV communications with machine learning: challenges, applications and open issues

S Ben Aissa, A Ben Letaifa - Arabian Journal for Science and Engineering, 2022 - Springer
Unmanned aerial vehicles (UAV) have recently proved their ability to afford reliable and cost-
effective solutions for many real-world scenarios. The autonomy, mobility and flexibility …

The Role of Machine Learning in UAV-Assisted Communication

S Javed, A Hassan, R Ahmad, S Qazi… - … of Machine Learning …, 2024 - igi-global.com
An unmanned aerial vehicle (UAV) is a pilotless aircraft that is capable of flying and
maintaining altitude without the need for a human operator, offers more cost-efficient …