Indoor localization is a key research area and has been stated as a major goal for Sixth
Generation (6G) communications. Indoor localization faces many challenges, such as harsh …

Indoor localization (IL) systems are crucial for enhancing operational efficiency, safety, and
user experience by allowing precise tracking of objects, robots, or individuals within various …

In this article, the use of channel state information (CSI) for indoor positioning is studied. In
the considered model, a server equipped with several antennas sends pilot signals to users …

As a promising indoor localization technology, WiFi fingerprint-based localization
encounters many issues that need to be addressed urgently, such as high-overhead …

Location estimation in indoor environments using radiofrequency (RF) has garnered
considerable attention in recent years owing to the widespread adoption of mobile devices …

In this study, we present an infrastructure-independent multi-floor indoor localization scheme
that uses a deep learning (DL)-based floor detection method and a particle filter with …

Improving the performance of artificial neural network (ANN) regression models on small or
scarce data sets, such as wireless network positioning data, can be realized by simplifying …