[HTML][HTML] Large scale survey for radio propagation in developing machine learning model for path losses in communication systems
Several orthodox approaches, such as empirical methods and deterministic methods, had
earlier been used for the prediction of path loss in wireless communication systems. These …
earlier been used for the prediction of path loss in wireless communication systems. These …
Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review
The rapid development of 5G communication networks has ushered in a new era of high-
speed, low-latency wireless connectivity, as well as the enabling of transformative …
speed, low-latency wireless connectivity, as well as the enabling of transformative …
Improving path loss prediction using environmental feature extraction from satellite images: Hand-crafted vs. convolutional neural network
There is an increased exploration of the potential of wireless communication networks in the
automation of daily human tasks via the Internet of Things. Such implementations are only …
automation of daily human tasks via the Internet of Things. Such implementations are only …
Predicting Path Loss of an Indoor Environment Using Artificial Intelligence in the 28-GHz Band
SA Aldossari - Electronics, 2023 - mdpi.com
The propagation of signal and its strength in an indoor area have become crucial in the era
of fifth-generation (5G) and beyond-5G communication systems, which use high bandwidth …
of fifth-generation (5G) and beyond-5G communication systems, which use high bandwidth …
Canny Enhanced High-Resolution Neural Network for Satellite Image Based Land Cover Classification and Its Application in Wireless Channel Simulations
Satellite image based land cover classification, which falls under the category of semantic
segmentation, is critical for many global and environmental applications. Deep learning has …
segmentation, is critical for many global and environmental applications. Deep learning has …
Intelligent Internet of Things in mammography screening using multicenter transformation between unified capsules
B Wang, X Hu, J Zhang, C Xu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Mammography screening is one of the important applications for the intelligent Internet of
Things (IoT). Due to the efficient and personalized cyber-medicine system, early diagnosis …
Things (IoT). Due to the efficient and personalized cyber-medicine system, early diagnosis …
Dynamic regressor/ensemble selection for a multi-frequency and multi-environment path loss prediction
Wireless network parameters such as transmitting power, antenna height, and cell radius
are determined based on predicted path loss. The prediction is carried out using empirical or …
are determined based on predicted path loss. The prediction is carried out using empirical or …
PMNet: Robust pathloss map prediction via supervised learning
Pathloss prediction is an essential component of wireless network planning. While ray
tracing based methods have been successfully used for many years, they require significant …
tracing based methods have been successfully used for many years, they require significant …
Enhanced path loss model by image-based environmental characterization
Accurate path loss (PL) models are critical for the design and optimization of wireless
communication systems. The selection between empirical models and deterministic models …
communication systems. The selection between empirical models and deterministic models …
Ensemble Learning for 5G Flying Base Station Path Loss Modelling
SP Sotiroudis, G Athanasiadou… - 2022 16th European …, 2022 - ieeexplore.ieee.org
The usage of unmanned aerial vehicles (UAVs) as flying base stations (FBSs) for expanding
coverage and assisting the terrestrial cellular networks constitutes a promising technology …
coverage and assisting the terrestrial cellular networks constitutes a promising technology …