The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

One of the most popular approaches for indoor positioning is WiFi fingerprinting, which has
been intrinsically tackled as a traditional machine learning problem since the beginning, to …

Channel state information (CSI)-based fingerprinting via neural networks (NNs) is a
promising approach to enable accurate indoor and outdoor positioning of user equipment …

Acquiring the real-time spatial–temporal information of manufacturing resources holds the
promise to enable efficient operation in factory logistics. This article proposes a system …

Radio-based locating systems allow for a robust and continuous tracking in industrial
environments and are a key enabler for the digitalization of processes in many areas such …

Radio channel state information (CSI) measured with many receivers is a good resource for
localizing a transmitter device with machine learning with a discriminative model. However …

In Cooperative Intelligent Transportation Systems (C-ITS) and Connected Automated
Vehicles (CAV), accessing multiple users and providing high-precision positioning are both …

Fingerprinting is a widely used technique in indoor positioning, mainly due to its simplicity.
Usually, this technique is used with the deterministic k-Nearest Neighbors (k-NN) algorithm …