A 5g beam selection machine learning algorithm for unmanned aerial vehicle applications
H Meng, W Shafik, SM Matinkhah… - … and Mobile Computing, 2020 - Wiley Online Library
The unmanned aerial vehicles (UAVs) emerged into a promising research trend within the
recurrent year where current and future networks are to use enhanced connectivity in these …
recurrent year where current and future networks are to use enhanced connectivity in these …
[PDF][PDF] A 3-dimensional fast machine learning algorithm for mobile unmanned aerial vehicle base stations
The 5G technology is predicted to achieve the unoptimized millimeter Wave (mmWave) of 30-
300 GHz bands. This unoptimized band because of the loss of mm-Wave bands, like path …
300 GHz bands. This unoptimized band because of the loss of mm-Wave bands, like path …
Theoretical understanding of deep learning in uav biomedical engineering technologies analysis
The unmanned aerial vehicles (UAVs) emerged into a promising research trend within the
recurrent year where current and future networks are to use enhanced connectivity in these …
recurrent year where current and future networks are to use enhanced connectivity in these …
Cost-Efficient GPIP Processing for Large-Scale Multi-User MIMO Systems
This paper investigates a joint user selection, power allocation, and beamforming strategy
for maximizing a weighted sum-spectral efficiency in a single-cell multi-user multiple-input …
for maximizing a weighted sum-spectral efficiency in a single-cell multi-user multiple-input …
[PDF][PDF] A fast machine learning for 5g beam selection for unmanned aerial vehicle applications
W Shafik, SM Matinkhah… - Information Systems & …, 2019 - academia.edu
Abstract Unmanned Aerial vehicles (UAVs) emerged into a promising research trend
applied in several disciplines based on the benefits, including efficient communication, on …
applied in several disciplines based on the benefits, including efficient communication, on …
[PDF][PDF] Unmanned aerial vehicles analysis to social networks performance
SM Matinkhah, W Shafik - The CSI Journal on Computer Science …, 2023 - researchgate.net
The innovation of unmanned aerial vehicles (UAVs) is a promising research area where
current communications, social data sharing, digital immigrations, when the base station is …
current communications, social data sharing, digital immigrations, when the base station is …
Sensor-assisted rate adaptation for UAV MU-MIMO networks
Propelled by multi-user MIMO (MU-MIMO) technology, unmanned aerial vehicles (UAVs) as
mobile hotspots have recently emerged as an attractive wireless communication paradigm …
mobile hotspots have recently emerged as an attractive wireless communication paradigm …
[HTML][HTML] Evaluation of development level and technical contribution of recent technologies adopted to meet the challenges of 5G wireless cellular networks
S Albadran - Symmetry, 2021 - mdpi.com
The evolution of the global wireless market is accompanied by an increased need in terms
of speed and number of users, lower latency, better coverage, better spectral efficiency and …
of speed and number of users, lower latency, better coverage, better spectral efficiency and …
3GPP New Radio Precoding in NGSO Satellites: Channel Prediction and Dynamic Resource Allocation
TX Vu, S Bhandari, M Minardi… - 2023 IEEE Statistical …, 2023 - ieeexplore.ieee.org
The advanced payload technology has opened up a new way to design future NGSO
satellite systems exploiting the full flexibility in radio resource and beam coverage …
satellite systems exploiting the full flexibility in radio resource and beam coverage …
Massive multi‐in multi‐out multiuser multiplexing based on transmission mode 3
T Zeng, E Ouyang - International Journal of Communication …, 2021 - Wiley Online Library
Multiuser multi‐in multi‐out (MU‐MIMO) technology using the fifth generation mobile
network (5G) massive antenna can greatly increase the existing network capacity and help …
network (5G) massive antenna can greatly increase the existing network capacity and help …