In this paper a novel ML method is presented that is able to predict session drops with higher accuracy than using traditional models. The method is applied and tested on live LTE data offline. The high accuracy predictor can be part of a SON function in order to eliminate the session drops or mitigate their effects.
Full abstract in IEEE Xplore, DOI: 10.1109/VTCSpring.2015.7145925
Péter Vaderna, András Benczúr, Institute for Computer Science and Control, Hungarian Academy of Sciences; Bálint Daróczy, Ericsson Research
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