Energy-efficient HTTP Adaptive Streaming with Anticipated Channel Throughput Prediction in Wireless Networks
Liqiang Tao, Yi Gong, Shi Jin, Junhui Zhao · 2017
Exploiting predicted channel information and designing energy efficient content delivery protocols has started to draw attention, which is referred to as predictive, anticipatory, or context-aware resource allocation. In this paper, we investigate how predicted user rates can be exploited for streaming on-demand mobile video with dynamic adaptive streaming over HTTP(DASH). Specifically, we propose an edge-cloud assisted framework for prediction based DASH streaming; For optimal prediction scenario, we propose a lightweight algorithm to solve it; For imperfect prediction scenario, we model uncertainty in predicted user rates and propose a chance constraint programming method to dynamically allocate the risks, optimize QoE and system efficiency; For the multi-user scenario, we propose a quality-level-aware throughput gain maximization method to improve the network efficiency, fairness and QoE for all users under different prediction error variances; Simulation studies show that our method has a better performance than traditional methods in terms of average QoE, fairness and energy efficiency.