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 …

In this paper, an optimal model is developed for path loss predictions using the Feed-
Forward Neural Network (FFNN) algorithm. Drive test measurements were carried out in …

Like with the past generations of mobile cellular networks, deployment of 5G services in
rural areas are expected to be financially and technically challenging. Currently, researchers …

Path loss prediction is an important process in radio network planning and optimization
because it helps to understand the behaviour of radio waves in a specified propagation …

In a typical outdoor environment, the propagation of radio waves is usually random in
nature, to the extent that the characterization of the wireless channel often becomes very …

This paper describes the calibration of the Volcano ray-tracing engine against channel
measurements collected in an urban environment with a state-of-the-art 28-GHz directional …

Path loss models are often used by radio network engineers to predict signal coverage,
optimize limited network resources, and perform interference feasibility studies. However …

For decades now, a lot of radio wave path loss propagation models have been developed
for predictions across different environmental terrains. Amongst these models, empirical …

We consider a method for develo** a radio-wave propagation prediction model in a
mountainous forested area. A new path loss development approach uses a free-space path …

This paper provides a simple optimization procedure using ATOLL planning tool for
Standard Propagation Model (SPM). Measurement campaigns were conducted to collect …