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Wireless Channel Charting: Theory, Practice, and Applications
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-position to each mobile user in a low-dimensional space: the channel chart.
Triplet-Based Wireless Channel Charting: Architecture and Experiments
Channel charting is a data-driven baseband processing technique consisting in applying self-supervised machine learning techniques to channel state information (CSI), with the objective of reducing the dimension of the data and extracting the fundamental parameters governing its distribution.
DNN-based Localization from Channel Estimates: Feature Design and Experimental Results
We consider the use of deep neural networks (DNNs) in the context of channel state information (CSI)-based localization for Massive MIMO cellular systems.
CSI-based Outdoor Localization for Massive MIMO: Experiments with a Learning Approach
We report on experimental results on the use of a learning-based approach to infer the location of a mobile user of a cellular network within a cell, for a 5G-type Massive multiple input, multiple output (MIMO) system.
