A Greedy-Based Video Bitrate Selection Algorithm with Consideration of QoE Fairness for Adaptive Streaming over Software Defined Network

The video streaming may be the most important service of the internet nowadays, and it changes the viewing habits of the millions of people. The novel streaming technique - adaptive streaming helps the people to watch the videos smoother, that is, the video quality or bitrate would be changed with the bandwidth adaptively. However, the design of the traditional adaptive streaming does not take the entire internet into account, that is, each device may grab the bandwidth as much as possible, and the allocation of the bandwidth may not fairness which causes the unfairness of the quality of experience (QoE). In this study, the software defined network (SDN) is applied to be the centralized control for allocating the bandwidth. Besides, a greedy-based video bitrate selection algorithm is proposed for achieving the QoE fairness. By comparing the results to the brute-force method, the proposed method can achieve the QoE fairness as the optimum solution of the brute-force method.