[HTML][HTML] Machine-learning-based uplink throughput prediction from physical layer measurements
The uplink (UL) throughput prediction is indispensable for a sustainable and reliable cellular
network due to the enormous amounts of mobile data used by interconnecting devices …
network due to the enormous amounts of mobile data used by interconnecting devices …
Machine-learning and 3D point-cloud based signal power path loss model for the deployment of wireless communication systems
Modeling signal power path loss (SPPL) for deployment of wireless communication systems
(WCSs) is one of the most time consuming and expensive processes that require data …
(WCSs) is one of the most time consuming and expensive processes that require data …
An ubiquitous 2.6 GHz radio propagation model for wireless networks using self-supervised learning from satellite images
The performance of any Mobile Wireless Network (MWN) is dependent on the appropriate
level of radio coverage, with Path Loss (PL) models being a valuable resource for its …
level of radio coverage, with Path Loss (PL) models being a valuable resource for its …
[PDF][PDF] Uplink throughput prediction in cellular mobile networks
E Eyceyurt, J Zec - International Journal of Electronics and …, 2020 - academia.edu
The current and future cellular mobile communication networks generate enormous
amounts of data. Networks have become extremely complex with extensive space of …
amounts of data. Networks have become extremely complex with extensive space of …
[HTML][HTML] Method for Systematic Assessment of Mobile Network Coverage for Logistic Applications on the German Highway
R Rettig, C Schöne, F Fröhlich, C Niemöller - Network, 2022 - mdpi.com
Smart logistics, combining the capabilities of logistics with methods and techniques of the
Internet of Things, Information and Communication Technologies, and the highest levels of …
Internet of Things, Information and Communication Technologies, and the highest levels of …
Modeling tree canopy signal power path loss (SPPL) for deployment of wireless communication systems (WCS) using point cloud and sensor fusion
Deployment of WCS in different areas requires an expensive and tedious process in terms of
obtaining reliable coverage and connectivity. The current random deployment strategies still …
obtaining reliable coverage and connectivity. The current random deployment strategies still …
KPI analysis of 4G/5G networks.
M AL-nasrawi, SV AL-Din Makki… - Przegląd …, 2024 - search.ebscohost.com
The development of mobile networks, especially after the 5G network service entered into
implementation and deployment in the world, the increase in demand for broadband, and …
implementation and deployment in the world, the increase in demand for broadband, and …
4G Signal RSSI Recommendation System for ISP Quality of Service Improvement
T Duangta, W Yookwan, K Chinnasarn… - 2022 Asia-Pacific …, 2022 - ieeexplore.ieee.org
4G Signal RSSI Recommendation System is one of the monitoring methods. The usage rate
of local users improves the quality of traffic signals to cycle to receive increased traffic. This …
of local users improves the quality of traffic signals to cycle to receive increased traffic. This …
A Sensor Fusion and Machine Learning Approach for Predicting Signal Power Path Loss in Wireless Communications
Y Egi - 2019 - repository.fit.edu
When it comes to Wireless Communication systems and their optimization in different
environments, estimation of SPPL for different terrain models becomes one of the most …
environments, estimation of SPPL for different terrain models becomes one of the most …