Traffic Burst Prediction in Radio Access Network with Machine Learning

Motivated by the expansion of mobile data traffic, there is an increasingdemand for better allocation of radio resources in the radio access network(RAN). Recently, interest has shifted towards predictive resource allocationtechniques, which would enable a more intelligent RAN. A promising solutionf...

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Bibliographic Details
Main Author: Jin, Jing
Format: Others
Language:English
Published: KTH, Skolan för elektro- och systemteknik (EES) 2016
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-197206

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