In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

In the coming 6G communications, network densification, high throughput, positioning
accuracy, energy efficiency, and many other key performance indicator requirements are …

Finger vein recognition received special attention among all other biometric traits due to its
high security. Adequate recognition and classification accuracy ensure the security of …

Widespread proliferation of wireless coverage has enabled culmination of number of
advanced location-based services (LBS). Continuous tracking of accurate physical location …

In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

Predictably, the upcoming six generation (6G) networks demand ultra-massive
interconnectivity comprising densely congested sustainable small-to-tiny networks. The …

Channel-state information (CSI)-based fingerprinting for WIFI indoor localization has
attracted lots of attention very recently. The frequency diverse and temporally stable CSI …

Abstract Currently, ultra-wideband (UWB)-based localization systems are attracting much
attention due to their high ranging accuracy. It is well known that the relative sensor–source …