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Document type:
Report / Forschungsbericht 
Author(s):
Sieber, Christian; Hagn, Korbinian; Moldovan, Christian; Hoßfeld, Tobias; Kellerer, Wolfgang 
Title:
Towards Machine Learning-Based Optimal HAS 
Abstract:
Mobile video consumption is increasing and sophisticated video quality adaptation strategies are required to deal with mobile throughput fluctuations. These adaptation strategies have to keep the switching frequency low, the average quality high and prevent stalling occurrences to ensure customer satisfaction. This paper proposes a novel methodology for the design of machine learning-based adaptation logics named HASBRAIN. Furthermore, the performance of a trained neural network against two algo...    »
 
Contracting organization:
Lehrstuhl für Kommunikationsnetze 
Year:
2018 
Monat:
Aug 
Semester:
SS 18