Enhanced RF Modeling Accuracy Using Simple Minimum Mean-Squared Error Correction Factors

Varner, Michael W.; Mitchell, Frost; Wang, Jie; Webb, Kirk; Durgin, Gregory D.

doi:10.1109/dtpi55838.2022.9998888

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Theoretical models occupy the sweet spot between empirical models and ray tracing models by offering relatively accurate predictions while keeping the complexity, memory requirements, and computation time limited. Moreover, recent work has shown that the accuracy of theoretical models can be improved when ground truth measurements are available [18], [19]. Therefore, a theoretical propagation model is the most effective way to maintain a DST over a large georeferenced map with fairly accurate predictions.…”

Section: B History Of Relevant Propagation Modelingmentioning

confidence: 99%

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Digital Spectrum Twins for Enhanced Spectrum Sharing and Other Radio Applications

Tadik,

Graves,

Varner

et al. 2024

IEEE J. Radio Freq. Identif.

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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.

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Section: B History Of Relevant Propagation Modelingmentioning

confidence: 99%

“…The parameters determining the steepness of the exponential functions are empirically chosen to be α 1 = 0.125, and α 2 = 0.0625. The individual maps are then aggregated with a minimum operator as stated in Equation (19).…”

Section: Example Usagementioning

confidence: 99%