Channel Quality Estimation in 3D Drone Base Station for Future Wireless Network
GB Tarekegn, RT Juang, HP Lin… - 2021 30th Wireless …, 2021 - ieeexplore.ieee.org
Due to its agility, high maneuverability, and cost-effective features, drone base stations
(DBSs) are expected to be a key component of the next-generation wireless communication …
(DBSs) are expected to be a key component of the next-generation wireless communication …
Machine learning based rapid 3D channel modeling for UAV communication networks
This paper applies Machine Learning (ML) to predict the quality of Air-to-Ground (A2G) links
performance for Unmanned Aerial Vehicles Base Stations (UAV-BSs) services. UAV-BSs …
performance for Unmanned Aerial Vehicles Base Stations (UAV-BSs) services. UAV-BSs …
Channel measurements and modeling in drone-to-ground communications
The drones, which are expected to take part in nextgeneration communication systems, are
used in many fields such as military, commercial and disaster management. The demand for …
used in many fields such as military, commercial and disaster management. The demand for …
Radio Quality Estimation on Drone Flight Sites for High Reliable Operation
N Suzuki, H Matsuno, T Yoshioka… - 2020 23rd International …, 2020 - ieeexplore.ieee.org
Drones are attractive for their consumer usage. They need high quality wireless
communication with ground stations to carry out their flight plans. It is necessary to …
communication with ground stations to carry out their flight plans. It is necessary to …
Learning-based downlink user selection algorithm for UAV-BS communication network
CP Wu, YR Li, JL Wang, HP Lin… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
Recently, the development of Unmanned Aerial Vehicle (UAV) has been nearly matured and
widely used in various fields. The combination of UAV and communication technologies …
widely used in various fields. The combination of UAV and communication technologies …
Reliable aerial mobile communications with RSRP & RSRQ prediction models for the Internet of Drones: A machine learning approach
The unmanned aerial vehicle (UAV) industry is moving toward beyond visual line of sight
(BVLOS) operations to unlock future internet of drones applications, including unmanned …
(BVLOS) operations to unlock future internet of drones applications, including unmanned …
Comparison of 4G LTE and 5G NR in UAV Networks: A Simu5G-Based Performance Evaluation
In this in-depth study, we investigate the comparative performance of 4G LTE (Long Term
Evolution) and 5G NR (New Radio) in Unmanned Aerial Vehicle (UAV) networks using …
Evolution) and 5G NR (New Radio) in Unmanned Aerial Vehicle (UAV) networks using …
Deep Learning-Based Link Quality Estimation for RIS-Assisted UAV-Enabled Wireless Communications System
In recent years, unmanned aerial vehicles (UAVs) have become a valuable platform for
many applications, including communication networks. UAV-enabled wireless …
many applications, including communication networks. UAV-enabled wireless …
A sensitivity analysis on the potential of 5G channel quality prediction
SN Anbalagan, R Litjens, K Das… - 2021 IEEE 93rd …, 2021 - ieeexplore.ieee.org
With increasing network complexity, intelligent mechanisms to efficiently achieve the
required quality of service of wireless-enabled applications are being developed, especially …
required quality of service of wireless-enabled applications are being developed, especially …
Measurement-based large scale statistical modeling of air–to–air wireless uav channels via novel time–frequency analysis
Any operation scenario for unmanned aerial vehicles also known as drones in real world
requires resilient wireless link to guarantee capacity and performance for users, which can …
requires resilient wireless link to guarantee capacity and performance for users, which can …