Machine Learning for Forecasting Signal Strength in Mobile Networks

Machine Learning for Forecasting Signal Strength in Mobile Networks

In this thesis we forecast the future signal strength of base stations in mobile networks. Better forecasts might improve handover of mobile phones between base stations, thus improving overall user experience. Future values are forecast using a series of past sig- nal strength measurements. We use...

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Bibliographic Details
Main Author: Prihodko, Nikolajs
Format: Others
Language:English
Published: Linköpings universitet, Statistik och maskininlärning 2018
Subjects:
machine learning
time series
forecasting
mobile networks
var
neural networks
gru
gaussian processes
hyperparameter optimization
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154466

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http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154466

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