Indoor positioning system (IPS) plays an important role in the applications of Internet of
Things (IoT), including intelligent hospital, logistics, and warehousing. Ultrawideband (UWB) …

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 …

Ultra-wideband (UWB) is a key technology that enables the evolution of localization systems
and makes it possible to provide more and better location-based services. However, the …

Ultra-wideband (UWB) systems promise centimetre-level accuracy for indoor positioning, yet
they remain susceptible to non-line-of-sight (NLOS) errors due to complex indoor …

Smart lighting systems can reduce energy consumption by controlling lights according to the
distribution of personnel. Most of the current smart lighting systems using vision-based …

High-precision localization and machine learning (ML) are envisioned to be key
technologies in future wireless systems. This paper presents an ML pipeline to solve …

Ultra-wideband (UWB) is a very promising indoor wireless positioning technology. However,
in the harsh and volatile indoor environment, the propagation of UWB signals is vulnerable …

This chapter gives an overview of how machine learning algorithms can be employed in
designing and optimizing antennas. Antenna design and optimization is a major factor that …

This work introduces a novel compact ultra-wideband (UWB) antenna designed for
wearable applications, employing a bioinspired structure and machine learning (ML) …

Real time location systems (RTLSs) are becoming more relevant in a more data driven
economy and society due to their wide range of application cases. When the location of an …