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• W2560215087 abstract "We consider Quality of Experience (QoE), measured in terms of Mean Opinion Score Listening Quality Subjective (MOS_LQS) for a Voice over LTE (VoLTE) application in realistic situations. Groups of service scenarios have been identified and the network performance simulated. We organized a listening panel to measure MOS according to standard procedures. MOS-LQS results and QoS metrics have been correlated using a set of Artificial Neural Network (ANN) models. As a clear result the ANN accurately models the relationship. This confirms again the need for an approach that is non linear and capable of generalization, as made by the human judgment. Future research is necessary to generalize the ANN model to a far larger scale while controlling the combinatorial explosion of scenarios and technical parameters." @default.
• W2560215087 created "2016-12-16" @default.
• W2560215087 creator A5032317994 @default.
• W2560215087 creator A5077576614 @default.
• W2560215087 date "2016-10-01" @default.
• W2560215087 modified "2023-09-27" @default.
• W2560215087 title "Quality of Experience analysis for VoLTE services through Artificial Neural Network fitting" @default.
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• W2560215087 doi "https://doi.org/10.1109/wincom.2016.7777208" @default.
• W2560215087 hasPublicationYear "2016" @default.
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