A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation
The design and deployment of fifth-generation (5G) wireless networks pose significant
challenges due to the increasing number of wireless devices. Path loss has a landmark …
challenges due to the increasing number of wireless devices. Path loss has a landmark …
Path loss prediction in smart campus environment: Machine learning-based approaches
This paper presents a novel application of various machine learning (ML)-based
approaches towards prediction of path loss (PL) parameter for a smart campus environment …
approaches towards prediction of path loss (PL) parameter for a smart campus environment …
Fusing diverse input modalities for path loss prediction: A deep learning approach
Tabular data and images have been used from machine learning models as two diverse
types of inputs, in order to perform path loss predictions in urban areas. Different types of …
types of inputs, in order to perform path loss predictions in urban areas. Different types of …
Application of Machine Learning Algorithms to Path Loss Modeling: A Review
The demand for high-speed internet services is increasing due to emerging needs such as e-
commerce, e-health, education, and other high-technology applications. Wireless …
commerce, e-health, education, and other high-technology applications. Wireless …
An ensemble machine learning approach for enhanced path loss predictions for 4G LTE wireless networks
Accurate path loss prediction models are indispensable in modern wireless communication
systems. In recent times, several path loss prediction models have been proposed to …
systems. In recent times, several path loss prediction models have been proposed to …
Performance prediction and enhancement of 5G networks based on linear regression machine learning
M Malekzadeh - EURASIP Journal on Wireless Communications and …, 2023 - Springer
The feature-rich nature of 5G introduces complexities that make its performance highly
conditional and dependent on a broad range of key factors, each with unique values and …
conditional and dependent on a broad range of key factors, each with unique values and …
[HTML][HTML] A Comparative Analysis of Alpha-Beta-Gamma and Close-In Path Loss Models Based on Measured Data for 5G Mobile Networks
OO Erunkulu, AM Zungeru, IG Thula, C Lebekwe… - Results in …, 2024 - Elsevier
Mobile coverage is crucial for the fifth-generation (5G) network since it affects the network's
accessibility and dependability in various locations. With a wider coverage, more people …
accessibility and dependability in various locations. With a wider coverage, more people …
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 …
Path loss prediction based on machine learning: Principle, method, and data expansion
Y Zhang, J Wen, G Yang, Z He, J Wang - Applied Sciences, 2019 - mdpi.com
Path loss prediction is of great significance for the performance optimization of wireless
networks. With the development and deployment of the fifth-generation (5G) mobile …
networks. With the development and deployment of the fifth-generation (5G) mobile …
Prediction of path loss in coastal and vegetative environments with deep learning at 5G sub-6 GHz
Path loss prediction is quite important for the network performance of the wireless sensors,
quality of cellular communication-based link budget, and optimization of coverage planning …
quality of cellular communication-based link budget, and optimization of coverage planning …