QoE Aware Resource Allocation for Multi-view Video Flows in LTE

Recently, the popularity of multi-view video flow transmission over cellular networks has received a significant surge. However, due to considerably higher bandwidth demands compared to conventional 2D videos, efficient resource allocation techniques specially oriented towards multi-view video must be designed to allow their efficient transmission. From the perspective of maintaining a minimum acceptable Quality of Experience (QoE) for each active user even during overload situations, adaptive 3D multi-view video streaming is being widely viewed as a promising enabling technology. Leveraging this technology, we first pose the problem of scheduling a set of multi-view videos as an optimization problem which attempts to maximize aggregate QoE. In addition, a heuristic solution to the optimization problem has been designed. Simulation results show that the proposed strategy is able to effectively deliver satisfactory the average playback-quality while simultaneously minimizing bit-rate switching in the video output.