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Found 2 papers, 1 papers with code
Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks
Then, we will describe how the controllers can be used to run ML algorithms to predict the number of users in each base station, and a use case in which these predictions are exploited by a higher-layer application to route vehicular traffic according to network Key Performance Indicators (KPIs).
Learning Latent Events from Network Message Logs
One of the main contributions of the paper is a novel mapping of our problem which transforms it into a problem of topic discovery in documents.
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