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