A UHF path loss model using learning machine for heterogeneous networks

M Ayadi, AB Zineb, S Tabbane - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we present and evaluate a new propagation model for heterogeneous
networks. The designed model is multiband, multienvironment, and is usable for short and …

FadeNet: Deep learning-based mm-wave large-scale channel fading prediction and its applications

VV Ratnam, H Chen, S Pawar, B Zhang… - IEEE …, 2020 - ieeexplore.ieee.org
Accurate prediction of the large-scale channel fading is fundamental to planning and
optimization in 5G millimeter-wave cellular networks. The current prediction methods, which …

Interference avoidance and dynamic frequency planning for WiMAX femtocells networks

D López-Pérez, G de la Roche… - 2008 11th IEEE …, 2008 - ieeexplore.ieee.org
Femtocells have been recently proposed as a potential good solution to increase not only
indoor radio coverage, but also system capacity. In this paper, a framework for radio …

Online methods for radio signal mapping with mobile robots

J Fink, V Kumar - 2010 IEEE International Conference on …, 2010 - ieeexplore.ieee.org
In this paper we explore methods for the online mapping of received radio signal strength
with mobile robots and localizing the source of the radio signal. By utilizing Gaussian …

A trainingless WiFi fingerprint positioning approach over mobile devices

I Bisio, M Cerruti, F Lavagetto… - IEEE Antennas and …, 2014 - ieeexplore.ieee.org
Indoor localization of targets by using electromagnetic waves has attracted a lot of attention
in the last few years. Thanks to the wide availability of electromagnetic sources deployed for …

A fuzzy logic-based system for indoor localization using WiFi in ambient intelligent environments

T Garcia-Valverde, A Garcia-Sola… - … on Fuzzy Systems, 2012 - ieeexplore.ieee.org
Ambient intelligence is a new information paradigm, where people are empowered through
a digital environment that is “aware” of their presence and context and is sensitive, adaptive …

Impact of the physical layer modeling on the accuracy and scalability of wireless network simulation

E Ben Hamida, G Chelius, JM Gorce - Simulation, 2009 - journals.sagepub.com
Recent years have witnessed a tremendous growth of research in the field of wireless
systems and networking protocols. Consequently, simulation has appeared as the most …

A comprehensive prediction model for VHF radio wave propagation by integrating entropy weight theory and machine learning methods

J Wang, Y Hao, C Yang - IEEE Transactions on Antennas and …, 2023 - ieeexplore.ieee.org
In order to improve the prediction accuracy and robustness of radio wave propagation in the
very high-frequency (VHF) band, we proposed a combination prediction model (CPM) based …

An SVR-Based Radio Propagation Prediction Model for Terrestrial FM Broadcasting Services in Beijing and Its Surrounding Area

J Wang, Z Wu, Y Hao, C Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For improving the accuracy and robustness of predicting radio propagation in the frequency
bands of FM Broadcasting Services, we proposed a propagation prediction model suitable …

Centimeter and millimeter-wave propagation characteristics for indoor corridors: results from measurements and models

FD Diba, MA Samad, DY Choi - IEEE Access, 2021 - ieeexplore.ieee.org
The millimeter-wave (mm-wave) frequency band is projected to play a critical role in next-
generation wireless networks owing to its large available bandwidth. Despite the theoretical …