RESEARCH AND ANALYSIS QOS AND QOE INDICATORS IN MULTISERVICE TELECOMMUNICATION NETWORKS

The rapid evolution multiservice telecommunication networks and the increasing demand for multimedia services have heightened the importance of ensuring Quality of Service (QoS) and Quality of Experience (QoE) for user satisfaction. This study explores QoS and QoE metrics in multiservice networks, leveraging insights from the "Network 2030" project, advanced digital technologies like SDN, NFV, 5G, and emerging 6G frameworks. With a focus on modern, end-to-end digital architectures, the paper proposes a mathematical model for analyzing and optimizing performance indicators, considering parameters such as network throughput, reliability, delay, and packet loss. The model aims to support real-time QoE assessments and enhance service quality by identifying performance thresholds across applications, from voice and video to M2M traffic. Metrics are examined through ITU-T recommendations, incorporating probabilistic-temporal characteristics and subjective user perceptions measured by the MOS (Mean Opinion Score) and R-factor ratings. Findings suggest that dynamic QoE monitoring, aligned with the convergence of NGN and FN architectures, offers significant potential to address rising user expectations in content quality and service reliability, guiding future research toward efficient QoS and QoE assessment in multiservice environments.