It is very important to understand the input features and the neural network parameters
required for optimal path loss prediction in wireless communication channels. In this paper …

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 …

Deep knowledge of how radio waves behave in a practical wireless channel is required for
effective planning and deployment of radio access networks in urban environments …

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 …

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 …

In this data article, a robust data exploration is performed on daily Internet data traffic
generated in a smart university campus for a period of twelve consecutive (12) months …

We examine the effects of mobile phone coverage on violent conflicts in Africa using a new
monthly panel dataset on mobile phone coverage at 55× 55 km grid cell levels for 32 African …

Citation is one of the important metrics that are used in measuring the relevance and the
impact of research publications. The potentials of citation analytics may be exploited to …

Hyper-dense wireless network deployment is one of the popular solutions to meeting high
capacity requirement for 5G delivery. However, current operator understanding of consumer …