In this paper, we exploit the artificial neural network (ANN) model for a spatial reconstruction
of radio-frequency (RF) electromagnetic field (EMF) exposure in an outdoor urban …

Fifth-generation (5G) wireless communication technologies play a crucial role in supporting
the pervasive implementation of the Campus Internet of Things (IoT). The application of 5G …

In wireless communication systems, in order to respond to the perception of risks related to
electromagnetic field exposure and allocate radio resources, the estimation of the received …

Characterization of radio frequency electromagnetic field exposure levels is considered
crucial for green and sustainable wireless-empowered campuses. To investigate the …

Models for exposure assessment of high frequency electromagnetic fields from mobile
phone base stations need the technical data of the base stations as input. One of these …

In this work, we show how to set up a cellular LTE network for wireless experimentation and
measurement, relying on commodity hardware and open-source software. We first deploy a …

Assessments of human exposure to EMF in urban environments represent one of the most
complex tasks because of the factors causing large temporal variations and spatial non …

To receive the highest possible data rate or/and the most reliable connection, the User
Equipment (UE) may want to choose between different networks. However, current LTE and …

In the era of the fourth industrial revolution, wireless communication technologies such as
5G are being studied. The long term evolution (LTE) is a 4G mobile communication …

This paper presens an innovative method that can be used to produce deterministic channel
models for 5G industrial internet-of-things (IIoT) scenarios. Ray-tracing (RT) channel …