This thesis deals with the development of a Comprehensive Quality of Experience (CQoE) which is therncombination of objective Quality of Experience (OQoE) and the Subjective Perception of Quality (SPQ) inrnthe ratio of 80% and 20% respectively. QoE (Quality of experience) is the perceived quality of a service byrnthe user. CQoE is a model that measures and predicts the usersâ€™ perceived quality. It uses the real GlobalrnSystem for Mobile Communication (GSM) and Universal Mobile Telecommunications System (UMTS)rndata, for this purpose, to channel it according to the need of the user. rnThe ethio telecom has to be needed a model for QoE that is capable of assessing, measuring, predicting andrnanticipating the needs and expectations of customers. In a competitive environment, a service provider (SP)rnwith no QoE model would easily lose its business to the others who have and use QoE models and strivernsustainably to enhance the quality of the voice call service they provide. rnThe user perceived quality is measured by Mean Opinion Score (MOS) scale, by evaluating Quality ofrnService (QoS) metrics. Service monitoring tool data and calculated MOS measurements are then used asrnreference data, in order to produce a new QoE prediction model, using Adaptive Neuro Fuzzy InferencernSystem (ANFIS). The concept of the SPQ has been introduced with the intent of getting first hand feedbackrnfrom customers, by using Questionnaire. Voice call Service is given to customers, who are human beingsrnhaving two main aspects: the rational, objective and the emotional, subjective. OQoE deals with the rational,rnobjective aspect of voice call service quality given by a SP, while the SPQ deals with the undeniablernemotional, subjective aspect of voice service quality given by a SP. By combining these two aspects, onerngets the full picture of voice quality level given by a SP. rnThe 3G and 2G voice calls QoE models perform the perceived quality by these QoS metrics: PCSR (rnPerceived call success rate), E2ED (End to End delay) and PCDR(Perceived call drop rate).rnThese models estimate the QoE with a Root Mean Squared Error (RMSE) and Pearson Correlations in thernfollowing order respectively: for OQoE (3G & 2G), CQoE (3G& 2G) : 0.47% & 95.05%, 0.35% & 93.82%,rn0.06% & 97.88%, 0.023% & 99.24%.to the measured QoE.