With recent advancements in the telecommunication industry and the deployment of 5G
networks, radio propagation modeling is considered a fundamental task in planning and …

This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …

Based on the characteristics of the 5 G standard defined in Release 17 by 3GPP and that of
the emerging Beyond 5 G (or the so-called 6 G) network, cyber-physical systems (CPSs) …

This article explores the convergence of artificial intelligence and its challenges for precise
planning of LoRa networks. It examines machine learning algorithms in conjunction with …

Millimeter wave communication systems design requires accurate pathloss prediction as
well as optimization. Traditional pathloss models gives less accuracy therefore pathloss …

Modeling radio propagation is essential for wireless network design and performance
optimization. Traditional methods rely on physics models of radio propagation, which can be …

Accurate signal path loss models for predictions are crucial in current cellular
communication networks. Recently, numerous path loss estimation methods have been …

Utilizing of 5G technology has become a major focus in the development of more advanced
and efficient telecommunications networks. In this context, 5G coverage prediction becomes …

The application of wireless sensor networks (WSNs) in smart agriculture requires accurate
path loss prediction to determine the coverage area and system capacity. However, fast …

LoRa systems are emerging as a promising technology for wireless sensor networks due to
their exceptional range and low power consumption. The successful deployment of LoRa …