An Agent-Based QoE Monitoring Strategy for LTE Networks

The new generation of LTE (Long Term Evolution) networks provides ubiquitous broadband access to mobile devices matching land communications in quality and speed. However, to optimize network resource usage in a dynamic environment network operators need models and strategies to constantly assess and manage the end-user's Quality of Experience (QoE). Given the importance of these activities, in the current paper, we focus on quality monitoring and the usage of QoE-agents in an LTE-Advanced Pro network. Specifically, we identify the location and the operation of the QoE-Agents based on the accuracy of the measurements and the load in the network considering the frequency of the measurements and the running applications. Emulations have been also carried out to evaluate two scenarios with different network conditions and we made experiments with different quality sampling rates and different application configurations. The preliminary results have shown that the proposed strategy brings to acceptable errors from our measurements, low CPU utilization and acceptable memory utilization.