Decision modeling and rational choice: AHP and utility theory
Management Science
Quantifying Skype user satisfaction
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Speech Quality of VoIP: Assessment and Prediction
Speech Quality of VoIP: Assessment and Prediction
Mobisense testbed: merging user perception and network performance
Proceedings of the 4th International Conference on Testbeds and research infrastructures for the development of networks & communities
Impairment Factor Framework for Wide-Band Speech Codecs
IEEE Transactions on Audio, Speech, and Language Processing
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Next Generation Mobile Networks (NGMNs) together with smart phones evolution have opened new opportunities to deliver mobile services, including voice, data and multimedia applications to the users. However this conflation has brought several challenges in terms of Quality of Experience - QoE of users. Mainly due to degradations with time-varying characteristics in the presense of link heterogeneity, varying packet loss and codec switching. In this paper we propose an analytical quality prediction model which predicts user QoE for conditions that are typically occurring in NGNMs such as network handovers, codec switching and different packet loss rates due to adverse wireless networking conditions. We augment our model with service price as another key factor in QoE representation. We validate quality prediction of our model with subjective tests. Our results show that the quality prediction by our model has correlation of r = 0.923 with subjective ratings.