The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

The integration of sub-6 GHz and millimeter wave (mmWave) bands has a great potential to
enable both reliable coverage and high data rate in future vehicular networks. Nevertheless …

This article provides a comprehensive survey of pioneer and state-of-the-art localization
algorithms based on the mobility of the network. The basic concepts of the localization task …

In this paper, a new indoor localization algorithm with received signal strength indicators
(RSSI) fingerprints by a kernel-based learning technique is proposed. In the offline phase …

Due to the advent and pervasive deployment of wireless local area networks, WiFi-based
indoor localization systems have received increasing attention in the last few years …

Location fingerprint (LF) has been widely applied in indoor positioning. However, the
existing studies on LF mostly focus on the fingerprint of Wi-Fi below 6 GHz, bluetooth, ultra …

A general non-asymptotic theoretical analysis is developed for fingerprinting localization
system designs. Based on this analysis, hybrid fingerprinting and propagation-based …

The reliable and accurate indoor pedestrian positioning is one of the biggest challenges for
location-based systems and applications. Most pedestrian positioning systems have drift …

This paper proposes a supervised learning based cell selection/reselection prediction
technique incorporating ensembles, and is reinforced by readily available lasso and ridge …

Device-free localization (DFL), which can detect and locate a person by measuring the
changes in received signals, is one of the primary techniques in wireless sensor networks …