Wireless Channel Charting: Theory, Practice, and Applications
This addresses the need for location-aware wireless network optimization without requiring explicit positioning systems, though it appears to be an incremental development building on existing dimensionality reduction techniques.
The paper introduces channel charting, a framework that uses dimensionality reduction on wireless channel state information to create pseudo-positions for mobile users, enabling self-supervised location-based applications in wireless networks.
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. Channel charting summarizes the entire CSI dataset in a self-supervised manner, which opens up a range of applications that are tied to user location. In this article, we introduce the theoretical underpinnings of channel charting and present an overview of recent algorithmic developments and experimental results obtained in the field. We furthermore discuss concrete application examples of channel charting to network- and user-related applications, and we provide a perspective on future developments and challenges as well as the role of channel charting in next-generation wireless networks.