… QoE was related to network metrics and human-based features like age, gender and type of
headset. The major findings were: i) Ordinal Logit Regression … the QoE perceived by VoLTE …

… QoE was related to network metrics and human-based features like age, gender and type of
headset. The major findings were: i) Ordinal Logit Regression … the QoE perceived by VoLTE …

… VoLTE, as well as in 5G networks. To the best of our knowledge, all the investigations on
VoIP QoE … an intermediate approach between classification and regression, and it is our belief …

… at least partially estimating QoE and that the model can capture … use voice services that are
neither VoLTE nor VoWLAN. Third-… of using a regression approach to model the relationship …

… not model the behavior of jitterbuffers in real VoLTE … QoE estimation of call quality, we
applied regression analysis using curve estimation in IBM SPSS [37]. We used the inverse model …

… models for QoE and QoS mapping, we found that the regression error (RMSE) of all models
is … Forconi, “Qos kpi and qoe kqi relationship for lte video streaming and volte services,” in …

… QoE based on network parameters of the user terminal equipment, it is difficult to predict QoE
… machine learning based QoE evaluation method is proposed to evaluate user QoE in real-…

… over LTE (VoLTE) and video quality by carrying out experimental measurement on VoLTE
… The method used is AMR codec voice, a novel and application QoE measurement for voice …

… QoE modelling issue to measure QoE objectively. It proposes a QoE model which is used to
measure the QoE … and the QoE as dependent output variable for the regression. TABLE 3.2 …

… Voice over LTE (VoLTE) service is not included here, due to the absence of VoLTE traffic in
… This does not imply a loss of generality, since, unlike the rest of services, VoLTE can easily …