QoE Modeling Associated with QoS Impairment Parameters in 5G Networks Using AHP Decision Making Technique

This paper aims to propose the Quality of Experience (QoE) models based on the expectation and/or the perception of 5G users to evaluate for Mean Opinion Score (MOS) for real-time or interactive services/applications with high reliability. Therefore, based on the fundamental QoE concept, the Analytic Hierarchy Process (AHP) decision making technique has been applied. Seven participants or evaluators were recruited for the interview remotely via phone calls. From the analysis using AHP technique, the coefficients or weights for the impairment parameters, consisting of loss, delay and jitter were obtained. Also, the weights of the focused parameters reveal that according to the participants' opinions, loss can generate a worse quality issue when compared with delay and jitter.