Energy Efficient Video QoE Optimization for Dynamic Adaptive HTTP Streaming Over Wireless Networks

Tao, Liqiang1,2; Gong, Yi1; Jin, Shi2; Quan, Zhi1; IEEE

10.1109/ICCS.2016.7833641

2016

978-1-5090-3424-6

2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS)

1-6

14-16 Dec. 2016

Shenzhen, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Energy-efficient video transmission is of vital importance in achieving green communications. In this paper, we propose an energy efficient video streaming algorithm for Dynamic Adaptive HTTP Streaming (DASH) which has been a popular video content delivery mechanism. Specifically, we consider the problem of jointly optimizing network resource allocation and video quality adaptation by exploiting knowledge of a look-ahead window to the future wireless capacity variation. The proposed algorithm incorporates: 1) an iterative backward-to-forward network resource allocation method is adopted, maximizing average video quality and minimizing playback interruption given certain channel utilization cost; 2) with the increase of predicted window length and prediction accuracy, our algorithm approaches near optimal quality of experience (QoE) and energy efficiency; 3) in presence of wireless capacity prediction errors, our algorithm maintains high performance in terms of average video quality and energy efficiency. Simulation studies and analytical results show that our algorithm has better performance over traditional methods in terms of video QoE and energy efficiency.

Streaming media Prediction algorithms Video recording Quality assessment Interrupters Resource management Mobile communication

第一 ; 通讯

英语

CPCI-S ; EI

Natural Science Foundation of China[61622108]

Telecommunications

Telecommunications

WOS:000401807600092

20170903398368

HTTP ; Image communication systems ; Iterative methods ; Quality of service ; Resource allocation ; Video streaming ; Wireless networks

Energy Conservation:525.2 ; Radio Systems and Equipment:716.3 ; Management:912.2 ; Numerical Methods:921.6

Web of Science

1.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China
2.Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Jiangsu, Peoples R China

Tao, Liqiang,Gong, Yi,Jin, Shi,et al. Energy Efficient Video QoE Optimization for Dynamic Adaptive HTTP Streaming Over Wireless Networks[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016:1-6.