Temporal deep learning assisted UAV communication channel model for application in EH-MIMO-NOMA set-up
The radio frequency (RF) spectrum is crucial for effective deployment of unmanned aerial
vehicle (UAV). The unpredictability of the communication channel restricts link reliability and …
vehicle (UAV). The unpredictability of the communication channel restricts link reliability and …
Machine Learning Based Clustering and Modeling for 6G UAV-to-Ground Communication Channels
Z Zhang, Y Liu, CX Wang, H Chang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Towards the sixth-generation (6G) wireless communication, unmanned aerial vehicles
(UAVs) have been regarded as an indispensable part due to its flexible deployment, wide …
(UAVs) have been regarded as an indispensable part due to its flexible deployment, wide …
Performance Analysis of Dual-hop UAV-Assisted mmWave Links Considering Orientation Fluctuations
ALK Rayyan, S Althunibat, A Alhasanat… - IEEE Access, 2024 - ieeexplore.ieee.org
In emergency scenarios, infrastructure of wireless networks is usually damaged and
becomes out of service. Therefore, Unmanned Aerial Vehicles (UAVs) have been widely …
becomes out of service. Therefore, Unmanned Aerial Vehicles (UAVs) have been widely …
Hover or perch: Comparing capacity of airborne and landed millimeter-wave UAV cells
On-demand deployments of millimeter-wave (mmWave) access points (APs) carried by
unmanned aerial vehicles (UAVs) are considered today as a potential solution to enhance …
unmanned aerial vehicles (UAVs) are considered today as a potential solution to enhance …
Distributed conditional generative adversarial networks (GANs) for data-driven millimeter wave communications in UAV networks
In this paper, a novel framework is proposed to perform data-driven air-to-ground channel
estimation for millimeter wave (mmWave) communications in an unmanned aerial vehicle …
estimation for millimeter wave (mmWave) communications in an unmanned aerial vehicle …
Machine Learning for Unmanned Aerial System (UAS) Networking
J Wang - 2021 - commons.erau.edu
Fueled by the advancement of 5G new radio (5G NR), rapid development has occurred in
many fields. Compared with the conventional approaches, beamforming and network slicing …
many fields. Compared with the conventional approaches, beamforming and network slicing …
Regression-based beam training for UAV mmWave communications
J Zhang, W Zhong, Y Gu, Q Zhu, L Zhang - EURASIP Journal on …, 2022 - Springer
For unmanned aerial vehicle (UAV) millimeter-wave (mmWave) communication systems,
efficient and accurate beam training is urgently required to overcome beam misalignment …
efficient and accurate beam training is urgently required to overcome beam misalignment …
Collaborative beamforming for UAV networks exploiting swarm intelligence
Unmanned aerial vehicle (UAV)-enabled communication is an essential component of the
promising next generation networks owning to its advantages of high maneuverability and …
promising next generation networks owning to its advantages of high maneuverability and …
Communications and networking technologies for intelligent drone cruisers
Future mobile communication networks require an Aerial Base Station (ABS) with fast
mobility and long-term hovering capabilities. At present, unmanned aerial vehicles (UAV) or …
mobility and long-term hovering capabilities. At present, unmanned aerial vehicles (UAV) or …
Fundamental trade-offs in communication and trajectory design for UAV-enabled wireless network
The use of unmanned aerial vehicles (UAVs) as aerial communication platforms is of high
practical value to future wireless systems such as 5G, especially for swift and on-demand …
practical value to future wireless systems such as 5G, especially for swift and on-demand …