Position Location for Futuristic Cellular Communications -- 5G and Beyond
Ojas Kanhere, Theodore S. Rappaport

TL;DR
This paper discusses advanced position location techniques in 5G and beyond, emphasizing centimeter-level accuracy achieved through map-based methods, data fusion, machine learning, and cooperative localization.
Contribution
It introduces novel integration of map-based, data fusion, and machine learning techniques for highly accurate positioning in future cellular systems.
Findings
Achieved centimeter-level localization accuracy in 5G systems
Enhanced positioning through data fusion and machine learning
Improved cooperative localization methods
Abstract
With vast mmWave spectrum and narrow beam antenna technology, precise position location is now possible in 5G and future mobile communication systems. In this article, we describe how centimeterlevel localization accuracy can be achieved, particularly through the use of map-based techniques. We show how data fusion of parallel information streams, machine learning, and cooperative localization techniques further improve positioning accuracy.
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