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 …

Localization schemes based on one-way Channel Frequency Response (CFR) are limited
in terms of the available coherent bandwidth due to random timing and phase offsets. Two …

This paper presents an approach for enhancing indoor localization accuracy using a hybrid
quantum deep neural network model (H-QDNN). To improve the accuracy of indoor …

Access points (APs) are used to define coordinates in an indoor positioning system with Wi-
Fi. These systems utilize existing infrastructure and Wi-Fi APs to find out the exact location of …

In this letter, we propose a dropout autoencoder fingerprint augmentation approach for
enhanced Wi-Fi fine time measurement and received signal strength signals-based indoor …

Wi-Fi connectivity for localization purposes has been used for several years in the Internet of
Things (IoT) context, where the (general) static nature of IoT devices allows to approximately …

Sensor-related indoor localization has attracted considerable attention in recent years. The
accuracy of conventional fingerprint solutions based on a single sensor, such as a Wi-Fi …

Thanks to the extensive coverage of WiFi and the wide application of smart devices in recent
years, WiFi-based positioning systems have gained more and more attention. Recently …

In the context of the increasingly deep construction of smart home, indoor localization using
wireless network has become a research hotspot. However, in practical applications, the …

Indoor localization within buildings is paramount due to its diverse applications, including
the Internet of Things (IoT), healthcare, and personnel monitoring. To improve the …