Extended Weighted ABG: A Robust Non-Linear ABG-Based Approach for Optimal Combination of ABG Path-Loss Propagation Models

D Casillas-Pérez, D Merino-Pérez… - IEEE …, 2022 - ieeexplore.ieee.org
This paper proposes a robust non-linear generalized path-loss propagation model, the
Extended Weighted ABG (EWABG), which efficiently allows generating a path-loss …

Weighted ABG: A general framework for optimal combination of ABG path-loss propagation models

D Casillas-Perez, C Camacho-Gomez… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper we propose a novel path-loss model, the Weighted ABG (WABG), which
suitably allows integrating or combine different available datasets, or previously proposed …

[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 …

Investigation of prediction accuracy, sensitivity, and parameter stability of large-scale propagation path loss models for 5G wireless communications

S Sun, TS Rappaport, TA Thomas… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper compares three candidate large-scale propagation path loss models for use over
the entire microwave and millimeter-wave (mmWave) radio spectrum: the alpha-beta …

[HTML][HTML] Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review

FE Shaibu, EN Onwuka, N Salawu, SS Oyewobi… - Future Internet, 2023 - mdpi.com
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 …

Exploratory Data Analysis for Path Loss Measurements: Unveiling Patterns and Insights Before Machine Learning

GA López-Ramírez, A Aragón-Zavala… - IEEE …, 2024 - ieeexplore.ieee.org
This paper presents an in-depth investigation into path loss modeling for wireless
communication systems, emphasizing the critical role of Exploratory Data Analysis (EDA) …

[HTML][HTML] A deep neural network-based multi-frequency path loss prediction model from 0.8 GHz to 70 GHz

C Nguyen, AA Cheema - Sensors, 2021 - mdpi.com
Large-scale fading models play an important role in estimating radio coverage, optimizing
base station deployments and characterizing the radio environment to quantify the …

An accurate empirical path loss model for heterogeneous fixed wireless networks below 5.8 GHz frequencies

Z El Khaled, W Ajib, H Mcheick - IEEE Access, 2020 - ieeexplore.ieee.org
Great progress has been made in providing convenient wireless communications with easy
connectivity for users everywhere. Many empirical path loss (PL) models have been …

A path loss simulator for the 3GPP 5G channel models

VV Díaz, DM Aviles - 2018 IEEE XXV International Conference …, 2018 - ieeexplore.ieee.org
This paper presents a web based simulator for large-scale path loss models, according to
the 3GPP TR 38.901 report, for 5G network frequencies. In order to implement the simulator …

Optimal Propagation Models for Path-loss Prediction in a Mountainous Environment at 2100MHz

JA Onipe, CO Alenoghena, N Salawu… - 2020 International …, 2020 - ieeexplore.ieee.org
The necessity and importance of path-loss determination for the purpose of mobile network
planning and optimization requires that an optimal model should be developed for each …