In this paper, we propose a method for predicting radio wave propagation using a correlation graph convolutional neural network (C-Graph CNN). We examine what kind of parameters are suitable to be used as system parameters in C-Graph CNN. Performance of the proposed method is evaluated by the path loss estimation accuracy and the computational cost through simulation.
Low-Cost Path Loss Estimation Using Correlation Graph CNN with Novel Feature Parameters
01.06.2023
2667995 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Correlation of flow path length to total pressure loss in diffuser flows
Online Contents | 2011
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