Channel state information (CSI)-based fingerprinting via neural networks (NNs) is a
promising approach to enable accurate indoor and outdoor positioning of user equipment …

Fingerprinting (FP) significantly improves the indoor localization performance in non-line-of-
sight-dominated areas. However, its deployment and maintenance is cost-intensive as it …

Channel charting is a recently proposed framework that applies dimensionality reduction to
channel state information (CSI) in wireless systems with the goal of associating a pseudo …

Radio fingerprinting (FP) technologies improve localization performance in challenging non-
line-of-sight environments. However, FP is expensive as its life cycle management requires …

Channel charting is a self-supervised learning technique whose objective is to reconstruct a
map of the radio environment, called channel chart, by taking advantage of similarity …

Channel charting (CC) consists in learning a map** between the space of raw channel
observations, made available from pilot-based channel estimation in multicarrier …

Massive multiple-input multiple-output (MIMO) systems and pilot reuse are essential
ingredients for internet of things (IoT) networks and massive machine-type communications …

Massive multiple-input multiple-output (mMIMO) technology is a way to increase spectral
efficiency and provide access to the Internet of Things (IoT) and machine-type …

This paper addresses the Sensor Network Localization (SNL) problem using received signal
strength. The SNL is formulated as an Euclidean Distance Matrix Completion (EDMC) …

Channel charting (CC) is an emerging machine learning method for learning a lower-
dimensional representation of channel state information (CSI) in multi-antenna systems …