Abstract:The accurate prediction of radio wave propagation is extremely important
for wireless network planning and optimization. However, inexact
matching between the traditional empirical model and actual propagation
environments, as well as the insufficiency of the sample data required
for training a deep learning model, lead to unsatisfactory prediction
results. Our paper proposes a field strength prediction model based on a
deep neural network that is aimed at a tiny dataset composed of the
geographic information … Show more
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