2021
DOI: 10.1109/tvt.2021.3049894
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Space-Frequency-Interpolated Radio Map

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Cited by 37 publications
(16 citation statements)
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“…Generally, for radio propagation predictions path loss has been modeled using the log-distance model, which includes normal distributed shadow fading [14], [15]. Other studies have taken advantage of the spatial correlation of shadowing to estimate it by including Kriging, which has minimized the variance of estimation errors, due to Kriging employs variography to restrict how far and where to look for the samples to be used in the interpolation [16], yielding accurate shadowing predictions, as has been validated in [17], [18].…”
Section: Introductionmentioning
confidence: 99%
“…Generally, for radio propagation predictions path loss has been modeled using the log-distance model, which includes normal distributed shadow fading [14], [15]. Other studies have taken advantage of the spatial correlation of shadowing to estimate it by including Kriging, which has minimized the variance of estimation errors, due to Kriging employs variography to restrict how far and where to look for the samples to be used in the interpolation [16], yielding accurate shadowing predictions, as has been validated in [17], [18].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is possible to estimate unknown values from the best set of available sample points, which consider the singularities and the characteristics associated with the selected scenario. An outstanding influence of Kriging interpolation on the construction of radio environment map (REM) has also been observed in various works [12–17]. REM is a tool for analysing radio propagation, which is typically defined as a map that stores the received signal power.…”
Section: Introductionmentioning
confidence: 99%
“…The simple model can be applied to the current DSS-MS system with a little calculation. To obtain a more precise estimation, a highly precise propagation model for each location is also being studied based on a spectrum map [9]. The other approach is for future implementation, and it uses AI/ML for more precise propagation estimation [10].…”
Section: Uss Detection Technologiesmentioning
confidence: 99%