Serhat Tadik, Kaitlyn M. Graves, Michael A. Varner, Christopher R. Anderson, David Johnson, Sneha Kumar Kasera, Neal Patwari, Jacobus (Kobus) Van der Merwe, and Gregory D. Durgin

IEEE Journal of Radio Frequency Identification 8(), 2024.

DOI: 10.1109/JRFID.2023.3327212

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areas
Mobile Networking

abstract

This paper outlines the components of a digital spectrum twin (DST) and potential application maps that can inform automated or enhanced spectrum management decisions. The DST is fundamentally a map and image database, with environmental, measurement, and prediction maps that allow parallel intelligence operations to generate useful information using aggregating rules that operate on the twin. We demonstrate several application maps generated from measured data collections and propagation modeling associated with the POWDER platform in Salt Lake City, Utah. In total, the methods of this paper provide a blueprint for generating similar DSTs in any other radio bands and regions of the world.