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 …

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 …

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

The necessity and importance of path-loss determination for the purpose of mobile network
planning and optimization requires that an optimal model should be developed for each …

Path loss prediction models are vital for accurate signal propagation in wireless channels.
Empirical and deterministic models used in path loss predictions have not produced optimal …

The increasing demand for radio channels, which emanates from the explosive requirement
for wireless services in a metropolitan environment is one of the major challenges facing the …

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

The propagation of radio waves in a built-up area is of great importance for the design of a
mobile communication network and the Path Loss (PL) of the transmitted power is one of the …

Objectives: Radio propagation models are used to predict signal strength in order to
characterize the radio frequency channel. This will help in providing sufficient data required …