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 …
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 …
Feasibility of LTE-Connected Unmanned Aerial Vehicle
The need for extended range Unmanned Aerial Vehicle (UAV) is increasing day by day. The
cellular network seems a promising solution for controlling the UAV over an unlimited range …
cellular network seems a promising solution for controlling the UAV over an unlimited range …
Machine learning for predictive deployment of UAVs with multiple access
F Guo, L Lu, Z Zang… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
This paper presents a machine learning-based framework for the predictive deployment of
unmanned aerial vehicles (UAVs) as flying base stations (BSs) to offload heavy traffic from …
unmanned aerial vehicles (UAVs) as flying base stations (BSs) to offload heavy traffic from …
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 …
Hybrid deep learning‐based throughput analysis for UAV‐assisted cellular networks
Y Yayeh Munaye, RT Juang, HP Lin… - IET …, 2020 - Wiley Online Library
Mobile users are interested in utilising high network capabilities without time and place
constraints. However, with a high level of interest in the usage of mobile phones and internet …
constraints. However, with a high level of interest in the usage of mobile phones and internet …
Efficient method to validate high reliability of 5G URLLC
J Kilpi, H Kokkoniemi-Tarkkanen… - 2021 IEEE 93rd …, 2021 - ieeexplore.ieee.org
Supervising quality of service will become increasingly important as critical applications
switch to use wireless communication services such as 5G URLLC. This is also crucial for …
switch to use wireless communication services such as 5G URLLC. This is also crucial for …
Path Loss Characterization Using Machine Learning Models for GS‐to‐UAV‐Enabled Communication in Smart Farming Scenarios
S Duangsuwan, P Juengkittikul… - International Journal of …, 2021 - Wiley Online Library
The purpose of this paper was to predict the path loss characterization of the ground‐to‐air
(G2A) communication channel between the ground sensor (GS) and unmanned aerial …
(G2A) communication channel between the ground sensor (GS) and unmanned aerial …
Preliminary 4.5 G cellular network assessment with calibrated standard propagation model (SPM) for uTM-UAS operations in Singapore airspace
MD Villaluz, L Gan, J Sia, SK Tan… - … on Unmanned Aircraft …, 2018 - ieeexplore.ieee.org
The advantages of nationwide coverage, secured mobile connectivity, licensed spectrum
operations, interference mitigation and mobility robustness capabilities, LTE Advanced Pro …
operations, interference mitigation and mobility robustness capabilities, LTE Advanced Pro …
Throughput performance of 4G-based UAV in a sub-urban environment in Malaysia
The demand for cellular connected Unmanned Aerial Vehicle (UAV) is getting more
attention recently due to the various applications which desire for aneagle eye'view. The …
attention recently due to the various applications which desire for aneagle eye'view. The …