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 …

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 an emerging self-supervised method that maps channel state
information (CSI) to a low-dimensional latent space, which represents pseudo-positions of …

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

Channel charting (CC) is an unsupervised learning method allowing to locate users relative
to each other without reference. From a broader perspective, it can be viewed as a way to …

Channel charting is an unsupervised learning method that aims at map** wireless
channels to a so-called chart, preserving as much as possible spatial neighborhoods. In this …

Channel charting (CC) applies dimensionality reduction to channel state information (CSI)
data at the infrastructure basestation side with the goal of extracting pseudo-position …

The objective of channel charting is to learn a virtual map of the radio environment from high-
dimensional channel state information (CSI) that is acquired by a multi-antenna wireless …

This paper presents a new method for user localization in single-site massive Multiple-Input-
Multiple-Output (MIMO) systems, which circumvents the need for large labeled datasets …

We present new ways of producing a channel chart employing model-based approaches.
We estimate the angle of arrival and the distance between the base station and the user …