[HTML][HTML] Large scale survey for radio propagation in developing machine learning model for path losses in communication systems

H Chiroma, P Nickolas, N Faruk, E Alozie, IFY Olayinka… - Scientific African, 2023 - Elsevier
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 …

Accurate Path Loss Prediction Using a Neural Network Ensemble Method

B Kwon, H Son - Sensors, 2024 - mdpi.com
Path loss is one of the most important factors affecting base-station positioning in cellular
networks. Traditionally, to determine the optimal installation position of a base station, path …

Path loss measurement and modeling of 5G network in emergency indoor stairwell at 3.7 and 28 GHz

MA Samad, DY Choi, K Choi - PloS one, 2023 - journals.plos.org
Research on path loss in indoor stairwells for 5G networks is currently insufficient. However,
the study of path loss in indoor staircases is essential for managing network traffic quality …

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 …

Analysis of centimeter and millimeter-wave path loss at emergency exit

MA Samad, DY Choi, H Son, K Choi - IEEE Access, 2023 - ieeexplore.ieee.org
The path loss model for indoor emergency stairs has yet to get enough attention in the
literature. Large-scale (LS) path loss models for a stairwell in a 10-stair academic building …

Path loss prediction using an ensemble learning approach

B Kwon, E Noh - Journal of the Korea Society of Computer and …, 2024 - koreascience.kr
Predicting path loss is one of the important factors for wireless network design, such as
selecting the installation location of base stations in cellular networks. In the past, path loss …

Impact of Environmental Granularity on CNN-Based Wireless Channel Prediction

Z Qiu, R He, M Yang, S Zhou, L Yu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Accurate wireless channel models are essential in design and optimization of wireless
communication systems. Deep learning provides a promising approach for wireless channel …

Ultrahigh frequency path loss prediction based on K-nearest neighbors

M Tikaria, VS Nigam - International Journal of Microwave and …, 2024 - cambridge.org
Path loss prediction (PLP) is an important feature of wireless communications because it
allows a receiver to anticipate the signal strength that will be received from a transmitter at a …

Machine Learning-based Predictive Channel Modeling for 6G Wireless Communications Using Image Semantic Segmentation

T Wu, CX Wang, J Li, C Huang - 2023 IEEE 34th Annual …, 2023 - ieeexplore.ieee.org
The research on 6G wireless communications has become a focal point in the global
technological competition. For 6G wireless systems, channel modeling is the foundation for …

Performance of Single Agent based Deep Reinforcement Models in Urban and Semi Urban Conditions for ORAN Network

PM Kumar, M Supriya - 2023 IEEE 3rd Mysore Sub Section …, 2023 - ieeexplore.ieee.org
Open Radio Access Networks (ORAN) are the building blocks of the present day
communication systems. Global organizations are trying to improve the performance of the …