Short Description: Predicting and maintaining Quality of Experience (QoE) is a critical factor in Telecom Service Provider (TSP) success for gaining market share and reducing churn. QoE reflects user satisfaction with service and largely depends on network Quality of Service (QoS) parameters.

Predicting and maintaining Quality of Experience (QoE) is a critical factor in Telecom Service Provider (TSP) success for gaining market share and reducing churn. QoE reflects user satisfaction with service and largely depends on network Quality of Service (QoS) parameters. In a telecom network, QoS can be changed and adjusted based on the number of decisions made in the network.

Predicting and maintaining Quality of Experience (QoE) is a critical factor in Telecom Service Provider (TSP) success for gaining market share and reducing churn. QoE reflects user satisfaction with service and largely depends on network Quality of Service (QoS) parameters. In a telecom network, QoS can be changed and adjusted based on the number of decisions made in the network. Such decisions vary from investment in network resources (switching and bandwidth) to network optimization. We need to understand how to devise a decision criteria to control network resources that impacts QoS. Further, we need to predict users quality of experience based on network QoS metrics. Predicting the quality of experience for enterprise customer is a complex topic due to the fact that for enterprise customers, QoE would largely depend not only

on quality of service provided by TSP but quality of service that the enterprise provides on the top of it. It is therefore necessary to build a model that allows us to predict the quality of experience of an enterprise customer by taking into account the service provider QoS as well as the enterprise network QoS and their interdependencies. Understanding of network resource investments (physical, virtual and hybrid) as well as good decisions on investing in operational infrastructure (technology, processes and people) could allow us to improve quality of experience. Most metrics used in QoS area have been traditionally on the basis of QoE assessment. Network based QoS metrics such as packet loss, packet delay and jitter can be controlled by a set of decision variables such as network investment/optimization and can be used to predict the end-user perception of quality, into a fair degree!

To know more visit.