QoE-Driven Resource Allocation for DASH over OFDMA Networks

In this paper, we study the problem of video delivery over Orthogonal Frequency Division Multiple Access (OFDMA) networks using the Dynamic Adaptive Streaming over HTTP (DASH) framework. The goal is to integrate these two principal technologies to enable effective wireless video delivery. Based on a comprehensive QoE model, we develop a formulation to maximize the user QoE with joint OFDM resource allocation and DASH rate adaptation. The formulated problem is decomposed into a BS resource allocation problem and a user rate adaptation problem, which are then solved with effective algorithms. Our simulation study validates the efficacy of the proposed scheme.