Workshop on QoE-Aware Resource Allocation for Multimedia Communications

Research Article

QoE Aware and Energy Efficient Online Scheduling for Video Streaming in Cellular Networks

Download598 downloads
  • @INPROCEEDINGS{10.4108/eai.13-7-2017.2270266,
        author={Xiao Li and Zhilong Zhang and Danpu Liu},
        title={QoE Aware and Energy Efficient Online Scheduling for Video Streaming in Cellular Networks},
        proceedings={Workshop on QoE-Aware Resource Allocation for Multimedia Communications},
        publisher={EAI},
        proceedings_a={QOE-RAMC},
        year={2017},
        month={12},
        keywords={qoe energy efficient video streaming lyapunov optimization},
        doi={10.4108/eai.13-7-2017.2270266}
    }
    
  • Xiao Li
    Zhilong Zhang
    Danpu Liu
    Year: 2017
    QoE Aware and Energy Efficient Online Scheduling for Video Streaming in Cellular Networks
    QOE-RAMC
    EAI
    DOI: 10.4108/eai.13-7-2017.2270266
Xiao Li1,*, Zhilong Zhang1, Danpu Liu1
  • 1: Beijing Laboratory of Advanced Information Network, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications.
*Contact email: lx_2015@bupt.edu.cn

Abstract

In recent years, mobile video streaming is gaining overwhelming popularity and occupying an increasing proportion in mobile data traffic. Video streaming is sensitive to viewing interruptions and hungry for energy, so it is of great significance to mitigate the effect of viewing interruptions and reduce energy cost while enjoying video streaming services in cellular networks. In this paper, considering both channel quality and user buffer state, we propose a QoE aware and energy efficient online scheduling scheme based on Lyapunov optimization framework. In the scheme, a novel method by dynamically controlling the weighting value of energy consumption is introduced to obtain more energy saving and guarantee QoE performance. Simulation results demonstrate that our proposed scheme can reduce both rebuffering delay and energy consumption compared with the state-of-art method.