Adaptive packet scheduling for scalable video streaming with network coding
In advanced Peer-to-Peer delivery systems, each user downloads a video stream and at the same time uploads the same stream to other users. In live streaming, scalable video streaming is also proposed to allow partial decoding of the video streaming at a reduced resolution, frame-rate or quality, adapting to different display requirements and receptions conditions of heterogeneous receivers. In live streaming applications, Network Coding (NC) has the potential to bring substantially higher throughput while reducing transmission delays. However, the bandwidth efficiency of NC transmission is still a problem to live media streaming due to the lack of synchronization among peers. To solve this problem, we introduce a scalable streaming system, which includes a layer selection algorithm and a distributed packet scheduling algorithm. The proposed system is tested by streaming a scalable video over a peer-to-peer network. The experimental results confirm that the proposed algorithm achieves better video quality, better delivery ratio, and lower transmission redundancy.