When deploying communication systems, an accurate wireless propagation model is
important to ensure the quality of service covering the region. Due to the complex radio …

Path Loss (PL) propagation models are important for accurate radio network design and
planning. In this paper, we propose a new radio propagation model for PL predictions in …

Accurate path loss (PL) prediction is essential for predicting transmitter coverage and
optimizing wireless network performance. Traditional PL models are difficult to cope with the …

Tabular data and images have been used from machine learning models as two diverse
types of inputs, in order to perform path loss predictions in urban areas. Different types of …

Accurate prediction of path loss is essential for the design and optimization of wireless
communication networks. Existing path loss prediction methods typically suffer from the …

In modern wireless communication systems, radio propagation modeling has always been a
fundamental task in system design and performance optimization. These models are used in …

In path loss prediction, recently machine learning approaches such as the convolutional
neural network (CNN) have been attracting interest. Various models have been proposed …

This work presents prediction path loss models in an urban environment for cellular
networks with the help of machine learning methods. For this goal, Support Vector …

We propose a novel path loss estimation method based on deep learning with some newly
defined system parameters and images. Estimating the radio wave propagation environment …

Path loss prediction is essential for network planning in any wireless communication system.
For cellular networks, it is usually achieved through extensive received signal power …