There is an increased exploration of the potential of wireless communication networks in the
automation of daily human tasks via the Internet of Things. Such implementations are only …

Due to the emerging challenges with future 6G networks such as high data rates and the
need for remarkably low latency, future wireless communication systems must be planned …

The planning and reliable operation of air-space networks strongly relies on accurate radio
propagation modeling. In previous work, we demonstrated that the machine learning-driven …

Ray tracing is one of the de-facto standard method-ologies for radio channel modelling,
given the geographical map of the layout. However, the channel generated by ray-tracing …

Private networks represent a key innovation in current 5G and future 6G networks, offering
significant benefits, particularly for vertical industries with mission-critical industrial …

Radio map modeling based on the artificial neural network (ANN) has great prospects for
applications in base station siting and network coverage optimization. However, the data to …

Long-range wide-area network (LoRaWAN) is a widely used technology in the Internet of
Things (IoT), which provides long-range (LoRa) communication with low power …

Path loss in the actual communication environment is one of the most fundamental
characteristics in designing and validating wireless systems. Recently, machine learning …

Radio map construction based on extensive measurements is accurate but expensive and
time-consuming, while environment-aware radio map estimation reduces the costs at the …

Wireless 5G connectivity in private operation is rapidly evolving into a necessity component
for business-critical services within professional industries, such as those related to …