Application-state aware scheduling for video delivery over LTE network
With the evolution in mobile systems technology it is possible to provide high data rate applications to the end user. Apart from the bottleneck problem in the core network, efficient utilization of the air interface remains a big challenge. Therefore, it is necessary to have intelligent resource management mechanisms in order to provide precise quality to the end users who have high expectation about the quality of service they receive. Here we propose a QoE based approach in order to improve the playback of a YouTube video in LTE network. The effectiveness and setbacks of our approach when put into practice on a running network will also be analyzed.