[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 …
Design and Implementation of an Innovative High-Performance Radio Propagation Simulation Tool
J Gómez, CJ Hellín, A Valledor, M Barranquero… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents the development and improvement of a high-performance validated
radio propagation simulation platform. The design and implementation process of the …
radio propagation simulation platform. The design and implementation process of the …
Overview of the First Pathloss Radio Map Prediction Challenge
Pathloss quantifies the reduction in power density of a signal radiated from a transmitter. The
attenuation is due to large-scale effects such as free-space propagation loss and …
attenuation is due to large-scale effects such as free-space propagation loss and …
Multi-Modal Intelligent Channel Modeling: A New Modeling Paradigm via Synesthesia of Machines
In the future sixth-generation (6G) era, to support accurate localization sensing and efficient
communication link establishment for intelligent agents, a comprehensive understanding of …
communication link establishment for intelligent agents, a comprehensive understanding of …
Multi-Modal Sensing Data Based Real-Time Path Loss Prediction for 6G UAV-to-Ground Communications
In this letter, a multi-modal sensing data based real-time path loss prediction scheme for
sixth-generation (6G) unmanned aerial vehicle (UAV)-to-ground communications is …
sixth-generation (6G) unmanned aerial vehicle (UAV)-to-ground communications is …
A Novel Multi-modal Fusion Sensing Based Channel Prediction Method for UAV Communications
Z Xin, Y Liu, J Xing, J Huang, J Bian… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) communications, as a critical application scenario in the
sixth generation (6G) wireless communication field, has garnered widespread attention …
sixth generation (6G) wireless communication field, has garnered widespread attention …
Irgan: cgan-based indoor radio map prediction
CT Cisse, O Baala, V Guillet, F Spies… - 2023 IFIP Networking …, 2023 - ieeexplore.ieee.org
Radio map or radio coverage prediction in indoor and outdoor remains a challenge of great
interest due to the large number of applications it allows. Many techniques such as data …
interest due to the large number of applications it allows. Many techniques such as data …
An Environment-Adaptive Radio Propagation Path Loss Model with Ray-Based Validation
In this letter, we introduce an adaptive multiple path loss exponent (AMPLE) radio
propagation model considering environmental factors. The AMPLE model aims at predicting …
propagation model considering environmental factors. The AMPLE model aims at predicting …
Radio Map Prediction from Aerial Images and Application to Coverage Optimization
In recent years, several studies have explored deep learning algorithms to predict large-
scale signal fading, or path loss, in urban communication networks. The goal is to replace …
scale signal fading, or path loss, in urban communication networks. The goal is to replace …
Radio Map Estimation--An Open Dataset with Directive Transmitter Antennas and Initial Experiments
Over the last years, several works have explored the application of deep learning algorithms
to determine the large-scale signal fading (also referred to as``path loss'') between …
to determine the large-scale signal fading (also referred to as``path loss'') between …