Abstract
To incorporate common frequency bands in wireless communication services without mutual interference, sharing of frequency usage information is needed that requires security measures, and a method for predicting the local received field strength is required for achieving reliable frequency coexistence levels. In this paper, a spectrum management system based on block chain is proposed for securing frequency usage information, achieving reliable frequency coexistence, and creating a propagation map by employing kriging interpolation for improving the accuracy of channel availability information required by users. Additionally, a support vector machine based on machine learning is proposed for enhancing and automating the propagation map. Through simulation, performance analysis was conducted by comparing the prediction accuracy of kriging interpolation and the propagation map resolution.
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