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.


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    Title :

    Low-Cost Path Loss Estimation Using Correlation Graph CNN with Novel Feature Parameters


    Contributors:


    Publication date :

    2023-06-01


    Size :

    2667995 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English