Insight based dynamic QoE management in LTE

Abstract

Long Term Evolution (LTE) subscribers expect seamless Quality of Experience (QoE) during their ubiquitous Internet access. Due to the high degree of application and content diversity, the amount of system resources that enable good QoE is application session specific and varies on a wide scale. Accordingly, good QoE requires dynamic and adaptive application session level resource management. The standard LTE Quality of Service (QoS) architecture was designed to provide bearer level differentiation thus it has neither the insight to the application sessions nor the granularity to provide proper QoE for each application session. Existing proprietary enhancements operating via context agnostic and static rule based bearer prioritization or intra-bearer scheduling are not able to allocate resources according to the actual QoE requirements of the application sessions. This paper describes a solution that maximizes the level of QoE and uses the system resources efficiently by dynamically adapting the QoS configuration to the estimated demand of individual application sessions. Simulations show that the solution is superior to the existing static methods that fail to provide proper QoE.