AI-Enhanced UWB-Based Localisation in Wireless Networks

Abstract

Thanks to low complex and affordable hardware, low power consumption, and pulse-based communication, ultra-wideband (UWB) technology has brought the possibility of positioning in wireless networks for various applications with high precision. Nowadays, the widespread use of this technology for location-based applications together with the integration of this technology in smartphones, motivates more research on the use of this technology for localisation systems. Current research results emphasize that artificial intelligence (AI) algorithms can help to improve the positioning performance of UWB technology due to the use of large amounts of data. In this work, we provide an overview of the challenges and their AI-based solutions in UWB-based localisation systems. This is followed by an overview of related work and an application example.