Unequal Importance Multipath Video Streaming for Wireless Networks
 Qamar Hamid Naith, Hamid Reza Ghaeini, Nils Ole Tippenhauer, Alicia Trivino Cabrera
Journal of Multimedia Processing and Technologies, Vol. 7, No. 3, 2016.
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Abstract:
Video streaming is a traditional network traffic application with high bandwidth and delay requirements. Optimizing the network infrastructure for video streaming traffic is an ongoing challenge. In this paper, we consider the case of unicast live video streaming over parallel channels with different reliability and bandwidth, for example, wireless channels. While video streaming over parallel channels was proposed before, each frame in the video data was considered to be equally important. As a result, important frames could be sent over less noisy channels, which impacts perceived video quality at the receiver. 

We show that by using a protocol such as the Stream Control Transmission Protocol (SCTP), we can identify higher reliability channels in a set of potential channels between the video source and consumer. To maximise the experienced video quality at the receiver, we then identify more important data in the video stream and send it over the better channels. We simulate the proposed solution and demonstrate the effectiveness of our proposed framework for concurrent multipath video streaming and the performance gain of concurrent multipath transmission in wireless networks.