QoE-based network-centric resource allocation for on-demand uplink adaptive HTTP streaming over LTE network

Abstract

With the advent of community portals and video sharing websites, production and consumption of multimedia content has increased tremendously. It is because of excellent video recording capabilities of cameras available with mobile devices, and enhanced data rates offered by cellular networks, that the uploading of high quality multimedia content is more realistic. Nowadays most of the video traffic is HTTP-based, that provides rate adaptive streaming, known as Dynamic Adaptive Streaming over HTTP (DASH). In this work we generate DASH video streams that can be supported on LTE uplink and then assign resources to the video producers such that the QoE of on-demand viewers is maximized.